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Terraform Cloud & IaC: A Hands-On Beginner's Guide
Published 9/2026
Created by Yogesh Raheja
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 29 Lectures ( 2h 6m ) | Size: 1.2 GB

Learn Infrastructure as Code from Scratch with Terraform Cloud, Real-World Projects, and Best Practices

What you'll learn
⚡ Understand the fundamentals of Infrastructure as Code (IaC)
⚡ Understand Terraform and its role in Infrastructure as Code
⚡ Offerings and differences between Terraform OSS, Terraform Cloud, and Terraform Enterprise
⚡ Terraform Cloud Organizations, Projects, and Workspaces
⚡ Configuring AWS credentials securely using Terraform Cloud environment variables
⚡ Running Terraform Plan and Apply operations from Terraform Cloud
⚡ Managing Terraform configuration files and variables
⚡ Creating Terraform variables using standard and HCL formats
⚡ Understanding and using automatic speculative plans for pull requests
⚡ Enabling and using Cost Estimation in Terraform Cloud
⚡ Configuring Microsoft Teams notifications
⚡ Understanding access management in Terraform Cloud
⚡ Managing and deleting Terraform Cloud workspaces and resources

Requirements
❗ Basic Unix/Linux Knowledge (Good to have)
❗ Basic understanding of Cloud Computing concepts
❗ Basic understanding of Terraform
❗ An AWS account for following the hands-on demonstrations
❗ A Terraform Cloud account

Description
"This course contains the use of artificial intelligence."

Terraform Cloud brings Infrastructure as Code into a collaborative, centralized platform, making it easier to manage Terraform configurations, workspaces, variables, plans, deployments, cost estimation, notifications, and access control. While Terraform itself provides the foundation for defining infrastructure as code, Terraform Cloud adds capabilities that help teams manage infrastructure workflows more efficiently and consistently.

This course is designed for DevOps engineers, cloud practitioners, system administrators, and infrastructure engineers who want a practical, hands-on introduction toTerraform Cloud and its core capabilities.

What's in this course?
We will start with the fundamentals of Infrastructure as Code and Terraform, then explore the differences between Terraform OSS, Terraform Cloud, and Terraform Enterprise. From there, we will get hands-on with Terraform Cloud by setting up an account, exploring the platform, creating projects and workspaces, configuring AWS credentials, managing Terraform variables, executing plans and applies, and working with automated workflows.

The course also covers practical Terraform Cloud capabilities such asspeculative plans, pull request workflows, cost estimation, notifications, and access management. Each section combines clear conceptual explanations with live demonstrations, allowing you to understand not only what Terraform Cloud provides, but also how these capabilities can be used in real-world infrastructure workflows.

Whether you are new to Terraform Cloud or already have basic Terraform knowledge, this course provides a practical foundation for using Terraform Cloud to manage and collaborate on Infrastructure as Code.

Special Note

This course is designed to showcase all practical concepts through live demonstrations. Every concept is presented in real-time, and any issues or errors that arise are promptly troubleshooted and addressed as they occur, allowing you to learn from real-world scenarios.

Course Structure
✨ Lectures

✨ Live Demonstrations

✨ Assessments

Course Contents
✨ Introduction to Infrastructure as Code and Terraform

✨ Understanding Terraform Cloud

✨ Terraform OSS vs Terraform Cloud vs Terraform Enterprise

✨ Terraform Cloud Organizations, Projects, and Workspaces

✨ Terraform Cloud Free Tier Capabilities and Limitations

✨ Setting Up a Terraform Cloud Account

✨ Exploring the Terraform Cloud User Interface

✨ Creating Projects and Workspaces

✨ Configuring AWS Credentials and Environment Variables

✨ Running Terraform Plans and Applies

✨ Managing Terraform Files and Variables

✨ Automatic Speculative Plans for Pull Requests

✨ Cost Estimation in Terraform Cloud

✨ Terraform Variables using HCL Format

✨ Microsoft Teams Notifications

✨ Terraform Cloud Access Management

✨ Workspace and Resource Management

All sections include hands-on demonstrations. Learners are encouraged to create their own Terraform Cloud environment, follow along with the demonstrations, and reinforce their understanding through practical application.

Who this course is for
⭐ DevOps or Cloud Administrators/Engineers
⭐ Cloud Administrators or Cloud Engineers
⭐ System Administrators or System Engineers or Infrastructure Engineers
⭐ Anyone looking to get started with Terraform Cloud

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• views: 89
• date: 18 September 2026
• posted by: 0nelove

Adaptive Leadership, Emotional Intelligence & Social Styles
Published 9/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 1h 36m | Size: 1.38 GB

Develop adaptive leadership capability through immersive quests, gaming principles and practical team challenges

What you'll learn
Apply adaptive leadership principles to respond effectively to uncertainty, changing priorities and complex team challenges
Use emotional intelligence to understand behaviour, manage responses and make considered leadership decisions under pressure
Recognise Social Interaction Styles and adapt communication and leadership behaviour to different people and situations
Use immersive environments and gaming principles to explore leadership choices, consequences and alternative courses of action
Apply quest-based learning to engage teams in shared challenges, experimentation, reflection and adaptive problem-solving
Transfer insights from immersive leadership challenges into practical actions that strengthen leadership capability in the workplace

Requirements
No previous knowledge of adaptive leadership or emotional intelligence is required.
No previous experience of gaming or immersive learning is needed.
An interest in leadership, teamwork and working effectively with others is helpful.
Quests can be completed individually, although they are designed to support learning and discussion within teams.
You will have a willingness to complete the practical activities to grow and develop your self-awareness and build your relationship skills.

Description Adaptive Leadership, Emotional Intelligence & Social Styles is a practical leadership development course designed for managers, team leaders, emerging leaders, coaches and learning professionals who want to develop their ability to lead people through uncertainty, complexity and change.

Modern leadership rarely involves following a predetermined route. Priorities shift, circumstances change, people respond differently and unexpected challenges can make the original plan inappropriate. Adaptive leadership requires leaders to recognise what is happening, question assumptions, work effectively with people and adjust their approach while maintaining a clear sense of purpose.

This course exploresadaptive leadership through emotional intelligence, Social Interaction Styles, immersive learning, gaming principles and quest-based leadership challenges. Rather than treating leadership simply as a collection of theories, it combines practical role plays, purpose-built AI-enhanced interactive tools and immersive quests to provide opportunities to explore choices, consequences and alternative approaches.

Theinteractive tools take learning beyond simply watching videos. Through interactive assessments, personalised exploration and activities that respond to your choices, you can examine your Social Interaction Style, explore different behavioural approaches and consider how behaviour may change when people are placed under pressure. These tools have been developed specifically to help you engage actively with the concepts and relate them to your own leadership practice.

You will explore howemotional intelligence supports adaptive leadership through greater self-awareness, awareness of others, emotional regulation, empathy, communication and considered decision-making. You will consider how emotions and behaviour influence leadership responses, particularly when working under pressure or when circumstances are uncertain.

The course also introduces fourSocial Interaction Styles: Driver, Expressive, Amiable and Analytical. You will examine the behavioural preferences associated with each style and consider how different people may communicate, make decisions, respond to challenges and interact within teams. The emphasis is not on labelling people, but on developing the behavioural flexibility needed to adapt your communication and leadership approach to different people and situations.

A distinctive feature of the course is its use ofinteractive immersive quests and gaming principles for leadership development. The quests place you within imaginative environments where circumstances evolve, priorities compete and decisions have consequences. Rather than simply reading about a leadership challenge, you become actively involved in considering what to do next as the situation develops.

The immersive leadership quests include challenges involving

-changing objectives

-limited resources

-competing stakeholder needs

-uncertainty

-disruption

-technology

-artificial intelligence

-human capability

-trust

-changing definitions of success

As situations develop, you will be encouraged to reconsider assumptions, adapt priorities and determine what effective leadership requires. The quests provide opportunities to practise adaptive leadership, teamwork, problem-solving and decision-making in situations where there may not be a single correct answer.

The quests can be explored individually, but they have been designed particularly astools for team learning and discussion. Teams can use them to compare perspectives, explore different responses and discuss why people facing the same leadership challenge may reach very different conclusions.

Throughout the course, you will consider the relationship betweenquests, organisational objectives and key performance indicators, and how immersive environments can create meaningful opportunities for leadership practice. You will explore how gaming technology, interactive tools and experiential learning can move leadership development beyond passive learning towards experimentation, reflection and practical application.

Importantly, the immersive experiences are not games for their own sake. Each challenge creates an opportunity to examine your leadership thinking and thentransfer those insights back into the workplace. Reflection encourages you to consider what influenced your choices, how other people might respond differently and what you could adapt when facing comparable situations with your own team.

By the end of the course, you will have explored adaptive leadership from several interconnected perspectives

-emotional intelligence

-behavioural flexibility

-Social Interaction Styles

-AI-enhanced interactive learning

-immersive learning

-quest-based learning

-teamwork

-decision-making

-leadership in uncertain and changing environments

You will also have experienced a different approach to leadership development, one that combinespersonalised interactive exploration, immersive leadership practice, practical role plays and quests with reflection and workplace application.

This course is particularly relevant for anyone interested in

-adaptive leadership

-emotional intelligence

-leadership development

-management skills

-team leadership

-Social Styles

-behavioural styles

-communication skills

-immersive learning

-experiential learning

-gamification

-serious games

-leadership simulations

-team development

-decision-making

-problem-solving

-change leadership

-AI and leadership

-the future of workplace learning

This course was developed in collaboration with artificial intelligence, with all content, learning activities and resources reviewed and shaped by the course instructor.

Practical, experiential role playsPurpose-built interactive tools that provide personalised insights from your choices and responses.

Interactive immersive quests that explore adaptive leadership through evolving challenges and decisions. Quests can be completed individually or used with teams.

All videos are High Definition recorded in 1080p.

All videos have grammatically correct English captions.

Latest update – September 2026
Who this course is for
Managers and team leaders – Develop more adaptive responses to changing team situations.
Emerging leaders – Practise leadership decisions in safe, immersive environments.
Experienced leaders – Challenge established approaches and experiment with different responses.
Project and change leaders – Work more effectively with uncertainty, complexity and competing priorities.
Learning and development professionals – Explore quests, gaming principles and immersive learning for leadership development.
Coaches and facilitators – Use behavioural insights and experiential approaches to support leadership development.

Homepage

https://www.udemy.com/course/adaptive-leadership-emotional-intelligence-social-styles/

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• views: 98
• date: 18 September 2026
• posted by: 0nelove

Adaptive Leadership, Emotional Intelligence & Type
Published 9/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 2h 10m | Size: 1.65 GB

Use Myers-Briggs personality type and immersive practice to develop adaptability, emotional intelligence and leadership

What you'll learn
Apply adaptive leadership principles to respond effectively to uncertainty, changing priorities and complex team challenges.
Use emotional intelligence to strengthen self-awareness, communication, decision-making and leadership effectiveness in complex situations.
Interpret how Personality Type preferences influence communication, decision-making, leadership and team dynamics.
Recognise how Personality Type and temperament influence different approaches to leadership, collaboration, change and problem-solving.
Develop greater behavioural flexibility by experimenting with alternative leadership and communication approaches through immersive practice.
Apply insights from immersive quests, role-play and reflection to adapt leadership behaviour in real workplace and team situations.

Requirements
No previous knowledge of adaptive leadership, emotional intelligence or personality Type is required.
No previous experience of the Myers-Briggs Type Indicator (MBTI), Personality Type, gaming or immersive learning is needed.
An interest in leadership, teamwork and understanding individual differences will be helpful.
Quests can be completed individually but are designed particularly for team discussion and shared learning.
You will have a willingness to complete the practical activities to grow and develop your self-awareness and build your relationship skills.

Description Adaptive Leadership, Emotional Intelligence & Type is a practical leadership development course designed for managers, team leaders, emerging leaders, coaches and learning professionals who want to develop their ability to lead people through uncertainty, complexity and change.

Modern leadership rarely involves following a predetermined route. Priorities shift, circumstances change, people respond differently and unexpected challenges can make the original plan inappropriate. Adaptive leadership requires leaders to recognise what is happening, question assumptions, work effectively with different people and adjust their approach while maintaining a clear sense of purpose.

This course exploresadaptive leadership through emotional intelligence, Personality Type, the Myers-Briggs Type Indicator (MBTI), immersive learning, gaming principles and quest-based leadership challenges. Rather than treating leadership simply as a collection of theories, it combines practical role plays, purpose-built AI-enhanced interactive tools and immersive quests to provide opportunities to explore choices, consequences and alternative approaches.

Theinteractive tools take learning beyond simply watching videos. Through interactive assessments, personalised exploration and activities that respond to your choices, you can examine Personality Type, explore different preferences and consider how these may influence communication, decision-making and leadership. These tools have been developed specifically to help you engage actively with the concepts and relate them to your own leadership practice.

You will explore howemotional intelligence supports adaptive leadership through greater self-awareness, awareness of others, emotional regulation, empathy, communication and considered decision-making. You will consider how emotions, personality preferences and behaviour influence leadership responses, particularly when working under pressure or when circumstances are uncertain.

The course usesMyers-Briggs Personality Type to explore differences in how people take in information, make decisions, direct and receive energy, approach the outside world and interact with others. The emphasis is not on labelling people or suggesting that Type determines behaviour. Instead, Type provides a framework for recognising preferences, understanding differences and developing greater flexibility in how you lead and work with others.

You will explore the four preference pairs associated with theMyers-Briggs Type Indicator (MBTI) and consider how the resulting Personality Types can influence communication, decision-making, problem-solving, teamwork and leadership.

The course also considerstemperament within Personality Type. Temperament provides a broader way of grouping patterns of personality preferences and exploring some of the different motivations, perspectives and approaches that people may bring to leadership and teamwork. This provides another lens through which to consider Type while keeping the focus on individual differences rather than assuming that everyone within a particular grouping will behave in the same way.

A distinctive feature of the course is the use ofType-informed avatars within immersive practice. These avatars provide a psychologically safer way to explore different perspectives, leadership tendencies and behavioural responses. They enable you to experiment with approaches that may feel less natural, consider situations from another personality perspective and explore how greater behavioural flexibility can support adaptive leadership.

Another distinctive feature is the use ofinteractive immersive quests and gaming principles for leadership development. The quests place you within imaginative environments where circumstances evolve, priorities compete and decisions have consequences. Rather than simply reading about a leadership challenge, you become actively involved in considering what to do next as the situation develops.

The immersive leadership quests include challenges involving

-changing objectives

-limited resources

-competing stakeholder needs

-uncertainty

-disruption

-technology

-artificial intelligence

-human capability

-trust

-changing definitions of success

As situations develop, you will be encouraged to reconsider assumptions, adapt priorities and determine what effective leadership requires. You will also have opportunities to consider how people with different personality preferences may interpret and respond to the same situation differently. The quests provide opportunities to practise adaptive leadership, teamwork, problem-solving and decision-making in situations where there may not be a single correct answer.

The quests can be explored individually, but they have been designed particularly astools for team learning and discussion. Teams can use them to compare perspectives, explore different responses and consider how Personality Type may influence the way people interpret challenges, communicate their ideas, make decisions and contribute to a shared outcome.

Throughout the course, you will consider the relationship betweenquests, organisational objectives and key performance indicators, and how immersive environments can create meaningful opportunities for leadership practice. You will explore how gaming technology, interactive tools and experiential learning can move leadership development beyond passive learning towards experimentation, reflection and practical application.

Importantly, the immersive experiences are not games for their own sake. Each challenge creates an opportunity to examine your leadership thinking and thentransfer those insights back into the workplace. Reflection encourages you to consider what influenced your choices, how personality preferences may have affected your response, how other people might approach the situation differently and what you could adapt when facing comparable situations with your own team.

By the end of the course, you will have explored adaptive leadership from several interconnected perspectives

-emotional intelligence

-behavioural flexibility

-Personality Type

-Myers-Briggs Type Indicator (MBTI)

-temperament

-interactive learning

-immersive learning

-quest-based learning

-teamwork

-decision-making

-leadership in uncertain and changing environments

You will also have experienced a different approach to leadership development, one that combinespersonalised interactive exploration, Type-informed immersive practice, practical role plays and quests with reflection and workplace application.

This course is particularly relevant for anyone interested in

-adaptive leadership

-emotional intelligence

-leadership development

-management skills

-team leadership

-Personality Type

-Myers-Briggs Type Indicator

-MBTI

-Myers-Briggs Personality Types

-personality preferences

-temperament

-communication skills

-behavioural flexibility

-immersive learning

-experiential learning

-gamification

-serious games

-leadership simulations

-team development

-decision-making

-problem-solving

-change leadership

-AI and leadership

-the future of workplace learning

This course was developed in collaboration with artificial intelligence, with all content, learning activities and resources reviewed and shaped by the course instructor.

Practical, experiential role playsPurpose-built interactive tools that provide personalised insights from your choices and responses.

Type-informed avatars and immersive practice that enable you to explore different personality perspectives and approaches to leadership.

Interactive immersive quests that explore adaptive leadership through evolving challenges and decisions. Quests can be completed individually or used with teams.

All videos areHigh Definition recorded in 1080p.

All videos havegrammatically correct English captions.

Latest update – September 2026
Who this course is for
Managers and team leaders – Develop more adaptive responses by understanding how Personality Type influences people and team dynamics.
Emerging leaders – Practise leadership decisions and explore different personality perspectives in safe, immersive environments.
Experienced leaders – Challenge established approaches and experiment with leadership responses beyond their natural Type preferences.
Project and change leaders – Work more effectively with different Personality Types when facing uncertainty, complexity and competing priorities.
Learning and development professionals – Explore Personality Type, quests, gaming principles and immersive learning for leadership development.
Coaches and facilitators – Use Personality Type (such as Myers-Briggs Type) insights and experiential approaches to support leadership development.

Homepage
https://www.udemy.com/course/adaptive-leadership-emotional-intelligence-personality-type/

Download

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• views: 75
• date: 18 September 2026
• posted by: 0nelove

AI in Excel
Published 9/2026
Created by Jobologyy Ventures
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 54 Lectures ( 5h 9m ) | Size: 5.6 GB

Master Excel formulas, Pivot Tables, Power Query & DAX — and use ChatGPT & Copilot to work faster and smarter.

What you'll learn
⚡ Crack real Excel interview questions with a portfolio project
⚡ Write smarter Excel formulas using ChatGPT and Copilot
⚡ Master VLOOKUP, XLOOKUP, and INDEX-MATCH for interviews
⚡ Automate data cleaning and transformation with Power Query
⚡ Build dynamic pivot tables and executive-ready dashboards

Requirements
❗ Basic Excel knowledge is helpful, but no advanced skills are required.
❗ Access to Microsoft Excel is needed for hands-on practice throughout the course.

DescriptionExcel isn't just a tool anymore - it's a test . Recruiters use it to filter candidates before the interview even starts, and most job seekers are still applying old-school methods to a skill set that's evolved fast.

This courseteaches you Excel the way it's actually used in analyst, business, and operations roles today - combined with AI tools like ChatGPT and Copilot to help you work faster and think sharper.

You'll start with smart,AI-assisted formula writing and Flash Fill automation, then move into the formulas recruiters test most - VLOOKUP, XLOOKUP, INDEX-MATCH, and logical functions like IF and IFS. From there, you'll build real pivot tables and executive-ready dashboards, clean messy datasets using Power Query, and model relationships and KPIs with DAX in Power Pivot.

You'll also learn how toturn raw numbers into visual storieswith charts, AI-based visualisation suggestions, and dashboard design principles that make your work stand out.

The course wraps up withreal interview-style Excel challenges and a portfolio project - a full sales dashboard you can showcase to recruiters as proof of your skills.

This course is built for freshers, early-career professionals, job seekers preparing for interviews, and career switchers moving into data or analytics roles. Some basic Excel exposure helps, but no advanced skills are required - everything is explained step by step.

By the end, you won't just know Excel formulas. You'll know how to use AI to work faster, think like an analyst, and walk into interviews with real, demonstrable skills.

Who this course is for
⭐ Early-career professionals sharpening practical Excel skills
⭐ Career switchers building AI-powered Excel skills
⭐ Freshers and students entering the workforce
⭐ Job seekers prepping for Excel interviews

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• views: 70
• date: 18 September 2026
• posted by: 0nelove

Enterprise AI Cost Management
Released 9/2026
By Ian Marshall
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English + subtitle | Duration: 33m 9s | Size: 115.4 MB

Enterprise AI costs resist the usual playbook.

Enterprise AI costs resist the usual playbook. The same task can cost double the second time you run it. The work that costs most (the people reviewing output, the governance behind it) never produces an invoice. And prices change, billing models change, a tool your team relies on can lose the model underneath it.
For project managers who answer for an AI budget, this course reveals the decisions that actually set cost and shows how to estimate when no published figure exists, how to attribute spend to the teams creating it, and how to judge a number that comes back high without trading away quality or safety. You'll finish able to build an estimate that shows its assumptions.

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• views: 57
• date: 18 September 2026
• posted by: 0nelove

DP-900 Azure Data Fundamentals: Concepts and Practice
Published 9/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 1h | Size: 318.19 MB

Learn data concepts, Azure relational and NoSQL services, analytics, and Power BI with original practice questions.

What you'll learn
Distinguish structured, semi-structured, and unstructured data and compare common workloads.
Explain relational tables, keys, normalization, SQL, and database objects.
Compare Azure relational, storage, and Cosmos DB options for common data scenarios.
Connect batch and streaming analytics, data flows, and Power BI to business reporting needs.

Requirements
No previous Azure administration or programming experience is required. A browser and interest in data concepts are sufficient.

Description
Build a clear foundation in Microsoft Azure data concepts with this independent DP-900 learning course. Instead of memorizing service names in isolation, you will connect the shape of your data, the needs of your workload, and the way information is stored, processed, and analyzed.

The course begins with structured, semi-structured, and unstructured data, common file formats, and the responsibilities of data professionals. You will then explore relational tables, keys, normalization, SQL, and database objects before comparing relational service options on Azure. The next lessons explain Blob Storage, Azure Files, Table Storage, data lakes, and the models and APIs associated with Azure Cosmos DB.

The analytics lessons connect large-scale data processing, batch and streaming workloads, real-time analysis, and Power BI. An integrated design lesson brings the concepts together so that you can explain why a particular approach fits a scenario.

The course includes ten concise English video lectures, synchronized visual emphasis, English captions, a slide PDF, and a downloadable learner pack. The pack provides an original 40-question practice exam, answer explanations, exercises with suggested solutions, a glossary, and official reference links. Use the questions to identify topics that need another review, and use the explanations to strengthen your reasoning.

No previous Azure administration experience is required. This is a conceptual introduction for beginners and learners preparing their first review of DP-900 topics; it is not an advanced implementation lab. The material is independently created and is not an official Microsoft course or a collection of actual exam questions. Completion and practice scores do not guarantee an exam result. Check the current official study guide before scheduling your exam.

Who this course is for
Beginners exploring Azure data services and learners reviewing the foundational topics associated with DP-900.

Homepage

https://www.udemy.com/course/dp-900-azure-data-fundamentals-concepts-and-practice/

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• views: 91
• date: 18 September 2026
• posted by: 0nelove

Claude Certified Architect Masterclass: CCAR-F & CCAR-P
Published 9/2026
Created by GIMIT eSERVICES
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 117 Lectures ( 19h 19m ) | Size: 22.2 GB

Master Anthropic Claude API, Prompt Engineering, Model Context Protocol (MCP), Agentic Workflows & Enterprise Scale.

What you'll learn
⚡ Master Anthropic's API Architecture: Configure secure developer consoles, manage token economics, control parameters, and stream real-time responses.
⚡ Build Production Prompt Systems: Leverage XML tagging, prevent conversational drift, eliminate context amnesia, and enforce strict behavioral guardrails.
⚡ Configure Local Developer Tooling: Set up CLI workflows, initialize Claude Code environments, and structure CLAUDE(dot)md project rulebooks efficiently.
⚡ Implement Advanced Function Calling: Design robust tool schemas in Python and TypeScript, manage multi-turn interactions, and secure execution pipelines
⚡ Enforce Structured JSON Outputs: Build automated validation retry loops, handle document parsing, extract accurate sentiment, and stop prompt injections.
⚡ Build Model Context Protocol (MCP) Servers: Configure open-standard mcp & json files, expose secure file systems, and connect enterprise databases.
⚡ Architect Autonomous Multi-Agent Systems: Deploy ReAct loops, utilize the Claude Agent SDK, manage subagent topologies, and enforce HITL safety gates.
⚡ Scale Enterprise AI & Pass CCAR Exams: Master VPC deployments, prompt caching, Constitutional AI safety guardrails, and professional solution blueprints.

Requirements
❗ Basic Programming Knowledge: Familiarity with programming concepts (Python or jаvascript/TypeScript is helpful for the API and tool-calling sections, though explained step-by-step).
❗ An Anthropic Console Account: A computer with internet access and a free or paid Anthropic Developer Console account to generate and test API keys.
❗ Basic Understanding of LLMs: A foundational curiosity about Large Language Models and how prompting works (we cover the basics from scratch in Section 1).
❗ No Prior Claude Architect Experience Required: Whether you are a beginner stepping into the ecosystem or an experienced developer scaling enterprise apps, this course guides you from foundations to professional mastery.

Description
This course contains the use of artificial intelligence.

Master Anthropic's Claude Ecosystem & Clear Your CCAR-F & CCAR-P Certifications!
Are you ready to become a certified authority in designing enterprise-grade AI systems with Anthropic's Claude? This comprehensive, end-to-end masterclass is meticulously designed to take you from foundational API configuration to advanced autonomous multi-agent architecture.

Whether you are aiming for theClaude Certified Architect – Foundations (CCAR-F) or theClaude Certified Architect – Professional (CCAR-P) credential, this course covers every core domain tested on the exams through practical, production-ready implementation.

What You Will Learn Across 10 Comprehensive Sections
✨Foundations & API Engineering: Set up secure developer consoles, master message payloads, track token economics, configure hyperparameters, and implement streaming responses.

✨Prompt Engineering & XML Tagging: Build production-grade system messages, use XML tags like , prevent conversational drift, and design behavior guardrails.

✨Developer Tooling & Claude Code: Configure CLI-driven workflows, structure CLAUDE. md project rulebooks, handle file contexts, and execute safe code refactoring.

✨Tool Use & Function Calling: Connect Claude to external systems, write strict tool schemas in Python and TypeScript, manage multi-turn states, and design secure tool execution pipelines.

✨Structured Outputs & Data Extraction: Enforce strict JSON schemas, build automated validation retry loops, handle document parsing, and defend against prompt injections.

✨Model Context Protocol (MCP): Build open-standard MCP servers, configure .mcp.json files, expose local file systems securely, and connect enterprise databases.

✨Agentic Architecture & Orchestration: Build ReAct (Reason + Act) loops, utilize the Claude Agent SDK, design hub-and-spoke multi-agent topologies, and enforce Human-in-the-Loop (HITL) gates.

✨Enterprise Scaling & Optimization: Deploy within VPCs, enforce zero-data retention policies, implement prompt caching to slash costs, and build automated CI/CD pipelines.

✨Safety, Red-Teaming & Governance: Apply Constitutional AI principles, mitigate jailbreaks, design output-filtering pipelines, and manage hallucinations programmatically.

✨Professional Solution Design Masterclass: Dissect complex scenario-based case studies, balance cost-latency-accuracy trade-offs, and build real-world regulated financial and multi-agent code migration assistants.

Who Is This Course For?
✨Software Engineers & Developers looking to integrate Claude APIs into production apps.

✨AI Solutions Architects preparing for the CCAR-F and CCAR-P certification exams.

✨Technical Leads & CTOs wanting to scale enterprise AI governance, security, and agentic workflows securely.

Enroll today and take your AI engineering career to the professional level with Claude!

Who this course is for
⭐ Software Engineers & Developers: Programmers looking to integrate Anthropic's Claude API, build robust tool-calling functions, and deploy structured JSON data pipelines in Python and TypeScript.
⭐ AI Solutions Architects & Technical Leads: Professionals designing enterprise-grade AI systems, multi-agent workflows, and secure Model Context Protocol (MCP) integrations.
⭐ Certification Candidates: Anyone actively preparing to clear the Claude Certified Architect – Foundations (CCAR-F) and Claude Certified Architect – Professional (CCAR-P) certification exams.
⭐ DevOps & Enterprise Security Professionals: Engineers responsible for deploying secure AI pipelines, implementing zero-data retention policies, managing prompt caching, and setting up VPC compliance.
⭐ AI Enthusiasts & Advanced Students: Tech-savvy learners moving beyond basic prompt engineering into autonomous agentic loops, Constitutional AI, and production-scale resilience.

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• views: 59
• date: 18 September 2026
• posted by: 0nelove

Blender to Unreal Engine 5: Playable Stylized Turret
Published 9/2026
Created by 3D Tudor
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 31 Lectures ( 5h 52m ) | Size: 5.9 GB

Model, UV unwrap and bake a stylized sci-fi turret, then build player controls and target shooting in Unreal Engine 5

What you'll learn
⚡ Model a detailed stylized sci-fi turret from references, including the body, base, twin weapons, support legs, cables and panels.
⚡ Use bevels, Booleans, mirrors, arrays, curves and topology cleanup to build readable mechanical forms and repeated components.
⚡ Clean hidden geometry, check normals and prepare useful origins for the fixed base, rotating upper assembly and aiming weapons.
⚡ Refine seams, inspect distortion, average island scale and pack the turret into one shared UV layout.
⚡ Run the supplied Blender script to bake 2048 x 2048 ambient occlusion and edge masks for recessed shading and stylized wear.
⚡ Import separate meshes into UE5 and apply supplied Material Instances with custom masks, metal colours and green emissive details.
⚡ Build a fixed-base turret Pawn with a rotating upper assembly, aiming weapon component, camera and two muzzle points.
⚡ Add A/D controls for turning, W/S controls for limited vertical aiming and Space to fire, with motion scaled by Delta Seconds.
⚡ Fire one line trace from each muzzle, inspect successful hits and apply damage to the supplied practice targets.
⚡ Test the turret in the supplied challenge and verify the target reactions, score, countdown, HUD and respawning behaviour.

Requirements
❗ A computer able to run Blender, Cycles baking and the supplied Unreal Engine 5 target-range project.
❗ Blender 5.2 and Unreal Engine 5.8 installed and ready to use.
❗ Basic Blender navigation, object selection, transforms and Edit Mode familiarity are helpful.
❗ Basic Unreal Editor navigation is helpful, but no Python or C++ authoring experience is required.

Description
A sci-fi turret can look finished in Blender and still be about as playable as a desk lamp. The real test begins when the mechanical body, twin weapon arms, support legs and cables have to survive the move into Unreal Engine 5, the upper assembly has to turn around the correct pivot, the weapons have to aim without cutting through the housing, and the fire button has to hit something other than your own mesh.

InBlender to Unreal Engine 5: Playable Stylized Turret, Luke from 3D Tudor guides you through that complete chain using Blender 5.2 and Unreal Engine 5.8. You will model a detailed stylized sci-fi turret, clean and organise it for engine use, unwrap and pack the UVs, generate ambient occlusion and edge masks, configure supplied Unreal Material Instances, build responsive Blueprint controls, and fire from two muzzle points inside a supplied target-practice challenge.

31 lessons with more than 5½ hours of instruction.
The course follows six clear stages: model the turret, prepare it for Unreal, create stylized shading and edge wear, build the controls, test the shooting challenge, and use the dedicated resource pack to compare your work with finished reference projects.

The modelling decisions affect the origins. The origins affect the Blueprint hierarchy. The UV layout affects the masks. The masks affect the Material Instances. The controls and target range prove whether the whole asset actually works.

The course is best suited to confident beginners and intermediate artists. Basic Blender navigation, transforms and Edit Mode familiarity will make the early stages easier, while some familiarity with the Unreal Editor is helpful. You do not need to write Python or C++; the included baker is run as a supplied tool and the gameplay work uses Blueprint visual scripting.

Model a Detailed Sci-Fi Turret
You will begin with eight supplied reference renders and a simple blockout, then develop the turret's mechanical body, stepped foundation, rotating housing, twin weapon arms, support legs and cables as one readable design.

The modelling workflow covers bevels, Boolean operations, mirrors, arrays, curves and practical topology cleanup. Panels, openings, hydraulic-style supports, hinges and connectors explain how the asset is assembled and how it is meant to move.

The visual direction combines light and darker metal regions with blue accents, green emissive details and broad hard-surface forms that remain readable from the player camera. You will move from a clean clay-style model and wireframe to a finished stylized asset while preserving its silhouette.

Prepare Your Asset for Unreal Engine 5
Before export, you will clean the geometry, remove unnecessary hidden faces where appropriate, inspect face orientation and organise the model into separate mesh components. The base remains fixed, the upper section is prepared for horizontal rotation, and the weapon assembly is prepared for limited vertical aiming.

You will establish useful origins and keep the moving groups understandable so the Unreal hierarchy can be rebuilt around the correct pivots.

The UV workflow uses checker inspection, a practical starting unwrap, refined seams around curved parts and cables, applied repeated geometry where unique UVs are required, averaged island scale and one shared packed layout. The selected components are then exported through FBX with modifiers applied.

Create Stylized Shading and Edge Wear
With the shared UV layout ready, you will run the supplied Blender script to generate two 2048 x 2048 maps: ambient occlusion for recessed and contact shading, and a black-and-white edge mask for stylized wear.

Inside Unreal Engine 5, you will assign the supplied Material Instances, connect your custom AO and edge masks, and adjust the exposed colour, gradient, edge-strength and roughness controls. The prepared materials turn those masks into readable depth, darker recesses, worn edges, blue surface accents and green emissive details.

The shader framework is supplied so you can focus on the artist-facing workflow: preparing the mesh correctly, creating the right data and making the final surface treatment sit properly on your own model.

Build Responsive Blueprint Controls
The imported meshes are assembled as a player-controlled Pawn with a fixed base, a rotating upper assembly, a weapon component for vertical aiming, a player camera and two separate muzzle points.

You will set up keyboard controls so the upper assembly turns left and right, the weapons raise and lower, and the turret fires. The demonstrated layout uses A and D for horizontal movement, W and S for vertical aiming, and Space to fire.

Movement is scaled by Delta Seconds for consistent response, and the pitch is clamped to a useful angle range so the weapons do not rotate straight through the base. The control system follows the mechanical structure you prepared in Blender.

Fire into a Target-Practice Challenge
Each fire input launches one instant line trace from each muzzle point. You will use the muzzle world position and forward direction, ignore the turret itself, inspect successful hit results and send damage to the supplied practice targets.

The target-range starter project gives the finished turret an immediate gameplay context. It includes the practice level, reusable target Blueprint, scoring, countdown, HUD, target reactions and respawning behaviour. Some targets move, disappear and return, while valid hits add score and time to the round.

You create the turret, its material setup, the Pawn hierarchy, the controls and the firing logic, then connect your work to the supplied challenge.

What You Will Be Able to Do
✨ Model a detailed stylized sci-fi turret with a mechanical base, rotating housing, twin weapon arms, support legs, cables and readable panel detail.

✨ Use bevels, Booleans, mirrors, arrays, curves and topology cleanup to create efficient hard-surface forms and repeated components.

✨ Clean the model, organise material regions, prepare useful origins, separate moving groups and pack one shared UV layout for Unreal.

✨ Bake ambient occlusion and edge masks with the supplied script, then use prepared Material Instances to create stylized shading and worn edges.

✨ Build a fixed-base Blueprint Pawn with a camera, horizontal turning, limited vertical aiming and two independent muzzle points.

✨ Fire dual line traces and test the finished turret against supplied targets, score, countdown, HUD and respawning behaviour.

Get a Dedicated Course Resource Pack
✨ Eight PNG turret reference renders covering the proportions, mechanical details and intended visual finish.

✨ A Blender Python tool that generates 2048 x 2048 AO and edge-mask textures from selected UV-unwrapped meshes.

✨ A starter Unreal Engine 5.8 target-range project with the practice level, targets, GameMode, score, countdown, HUD, Material Instances and example textures.

✨ A finished Blender 5.2 project for studying the completed model, component separation, UVs and material assignments.

✨ A finished Unreal Engine 5.8 reference project showing the completed playable turret setup.

The starter project leaves the student turret meshes and player-turret Blueprint for you to build. The finished Blender and Unreal reference projects help you inspect, compare and troubleshoot the completed setup.

Who this course is for
⭐ The Blender Prop Artist: You want to take a hard-surface model from clay render and wireframe through UVs, masks, materials and a working Unreal Engine result.
⭐ The Aspiring Game Artist: You want one connected six-stage project that links modelling, Unreal preparation, UVs, baked masks, Blueprint controls and target-practice gameplay.
⭐ The Unreal Engine Builder: You want to assemble imported Static Meshes into a clear Pawn hierarchy with yaw, pitch, a camera, A/D and W/S controls, and dual line-trace shooting.
⭐ The Mechanical-Modelling Fan: You enjoy sci-fi panels, supports, hinges, cables, repeated parts and making every section feel as if it has a mechanical reason to exist.
⭐ The Project Finisher: You learn best by taking one substantial asset from reference to playable target challenge, with finished Blender and Unreal projects available for comparison.

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• views: 28
• date: 18 September 2026
• posted by: mposterz

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• date: 18 September 2026
• posted by: 0nelove

B1 English Reading & Listening Practice: 50 Short Stories
Published 9/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 3h 50m | Size: 1.05 GB

Read and listen with more confidence, understand English in context, and stop translating every word

What you'll learn
Improve English reading comprehension through 50 engaging B1-level short stories.
Develop listening skills by following clearly narrated English stories while reading along.
Learn useful B1 vocabulary in context and understand how words are used in natural sentences.
Build confidence in understanding everyday English and expressing personal ideas about each story.

Requirements
Basic A2-level English is recommended, but no advanced grammar knowledge is required.
You only need a computer, tablet, or phone and a willingness to read, listen, and practice.

Description

Improve your English comprehension one story at a time.
This B1-level English course is built around50 Stories About Small Wins That Matter by Elizabeth Snow. Through 50 short, meaningful stories, you will practice reading, listening, vocabulary, and comprehension in a simple and manageable way.

This course is for learners who already understand some English but still find themselves stopping too often, translating every unfamiliar word, or losing confidence when reading longer passages.

By working through one complete story at a time, you will practice understanding English as a whole instead of focusing on every single word. You will learn to use context, notice important details, follow the main idea, and become more comfortable finishing English texts from beginning to end.

Each lesson includes a complete B1 English story, clear audio narration, useful vocabulary in context, a Gentle Lesson, a Reflection Question, a short comprehension quiz, and a printable worksheet for extra practice.

By the end of the course, you will have

- completed50 full English stories

- practiced understandingmain ideas and important details

- learned useful vocabularythrough context

- strengthened yourreading and listening comprehension

- practiced continuing even when you do not know every word

- completed50 printable worksheets and 50 quizzes

- built greater confidence in your ability to understand English independently

The stories in50 Stories About Small Wins That Matter focus on everyday experiences such as trying something new, making mistakes, solving problems, helping others, building confidence, and learning to keep going.

You do not need to study for hours at a time. Each lesson is designed to give you a small, achievable English-learning win.

One story. One small win. One step toward better English comprehension.
Who this course is for
B1 English learners who want to improve their reading and listening comprehension through short stories.
A2 learners who are ready to move toward the intermediate level with clear and accessible English.
Independent learners who want to build vocabulary naturally through meaningful stories and context.
Students who enjoy positive, thoughtful stories about confidence, resilience, kindness, and personal growth.

Homepage

https://www.udemy.com/course/b1-english-reading-listening-practice-50-short-stories/

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• views: 86
• date: 18 September 2026
• posted by: 0nelove

AI Glossary at Work: A Practical Guide for Every Employee
Published 9/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 6h 33m | Size: 3.45 GB

Understand AI, Generative AI, LLMs, Prompt Engineering, RAG & AI Tools with Practical Demos, Quizzes and Role Plays

What you'll learn
Identify essential AI concepts including Generative AI, LLMs, GPT, multimodal AI, AI assistants, and AI agents.
Compare major AI tools such as ChatGPT, Claude, Gemini, and Microsoft Copilot for different workplace needs.
Apply practical prompt engineering techniques including zero-shot, few-shot, CREATE, SCENE, and reasoning approaches.
Explore AI-powered workflows using Claude, Copilot, NotebookLM, Google AI Studio, Python, and Ollama.
Distinguish between reliable AI outputs and hallucinations by evaluating AI-generated information critically.
Apply Retrieval-Augmented Generation (RAG) concepts to understand how AI can retrieve information from external sources.
Evaluate what types of workplace information can be safely shared with AI and identify situations requiring greater caution.
Refine AI-generated content to make it more natural, accurate, relevant, and aligned with your own communication style.
Assess which workplace tasks AI can automate or assist with while identifying where human judgment remains essential.
Interpret AI usage policies and make responsible decisions when using AI tools in the workplace.

Requirements
No prior AI or technical experience is required. This course is designed for beginners and working professionals who want to build practical AI knowledge. A basic familiarity with using a computer and accessing the internet is helpful.

Description
If you use AI at work but find yourself wondering what an LLM actually is, what RAG means, why AI sometimes gives confidently wrong answers, or which AI tool you should use for a particular task, this course is for you. Maybe you've heard terms like Generative AI, GPT, multimodal AI, prompt engineering, hallucination, and AI agents thrown around in meetings and online — but you're not always sure what they mean or how they apply to your job.

AI Glossary at Work: A Practical Guide for Every Employee gives you a practical, jargon-free introduction to the AI concepts, terminology, and tools shaping the modern workplace. Instead of simply memorizing definitions, you'll see these concepts in action through demonstrations, workplace examples, quizzes, and role-play scenarios.

In this course, you will
-Explore how Generative AI has evolved from creating text to producing business deliverables and completing multi-step tasks

-Master essential AI concepts including LLMs, GPT, multimodal AI, AI assistants, and AI agents

-Compare popular AI tools such as ChatGPT, Claude, Gemini, and Microsoft Copilot

-Develop practical prompt engineering skills using techniques such as zero-shot, few-shot, CREATE, SCENE, and reasoning

-Explore Claude features including Projects, Skills, Cowork, Connectors, and scheduled tasks

-Apply AI tools to practical workplace tasks such as data analysis, research, design, coding, and information synthesis

-Explore Google AI Studio, NotebookLM, Python, and local LLMs with Ollama

-Build a foundation in Retrieval-Augmented Generation (RAG) and see how a RAG system works

-Recognize AI hallucinations and evaluate whether an AI-generated answer can be trusted

-Identify what information is appropriate to share with AI and what may require greater caution

-Refine AI-generated content so it sounds more natural and reflects your own voice

-Evaluate what AI can automate, what it can assist with, and where human judgment remains essential

-Navigate AI usage policies and make more informed decisions about using AI at work

Why does this matter?

AI terminology is no longer limited to developers and AI specialists. Whether you work in HR, marketing, finance, operations, project management, sales, education, or another field, you are increasingly likely to encounter AI tools and AI-related decisions in your everyday work.

Knowing the terminology helps you ask better questions, choose the right tools, communicate more confidently with colleagues, and recognize the limitations and risks of AI. More importantly, it helps you move beyond simply experimenting with AI and start using it thoughtfully in real workplace situations.

What will you do in the course?

This is designed to be practical rather than purely theoretical. You'll watchvideo demonstrations, test your knowledge withquizzes, and work throughrole-play scenarios based on common employee concerns. You'll see AI tools being used for real tasks and examine situations such as dealing with hallucinations, handling sensitive information, editing robotic AI output, and navigating concerns about AI and job replacement.

Why is this course different?

This course is designed foreveryday employees, not AI specialists. You don't need a technical background to follow along. Complex AI concepts are explained in practical workplace language, with demonstrations that connect terminology to situations you are likely to encounter on the job.

Rather than giving you a dictionary of AI definitions, this course helps you connect theterm → concept → tool → workplace use case → potential risk. That makes it easier to remember what these terms mean and, more importantly, recognize when they actually matter.

If you want to stop feeling lost when AI terminology comes up and start speaking, evaluating, and working with AI more confidently,enroll today and build your practical AI vocabulary for the workplace.

Who this course is for
Employees who want to build practical AI skills and confidently use AI tools in their daily work.
Managers and Team Leaders who want to understand AI capabilities, risks, and workplace applications.
Business Professionals who want to explore Generative AI, prompt engineering, and AI-powered productivity tools.
HR and People Professionals who want to understand AI terminology, responsible AI use, and workplace implications.
Project and Product Professionals who want to apply AI tools to research, analysis, documentation, and everyday workflows.
Non-Technical Professionals who want to build an AI vocabulary and confidently navigate the rapidly changing AI workplace.

Homepage

https://www.udemy.com/course/ai-glossary-at-work/

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• views: 109
• date: 18 September 2026
• posted by: 0nelove

AI Excel Analyst: Excel With ChatGPT, Copilot & Python
Last updated 9/2026
MP4 | Video: h264, 3840x2160 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 8h 23m | Size: 12.49 GB

Use AI to solve Excel problems, clean data, build dashboards, analyze business performance, create models, and automate

What you'll learn
Use AI to solve practical Excel problems faster.
Apply a 5-step AI Excel method to real spreadsheet tasks.
Turn business questions into Excel formulas.
Build lookups, conditional calculations, and dynamic formulas with AI support.
Understand, fix, and modernize inherited Excel workbooks.
Clean messy names, categories, locations, dates, numbers, and formats.
Detect duplicates, missing values, conflicts, and suspicious data.
Extract useful information from messy text.
Classify large sets of records automatically.
Validate AI-generated data cleaning before trusting the result.
Analyze best and worst performers in business data.
Detect anomalies and investigate performance changes.
Turn analysis into clear management insights.
Convert business questions into KPIs.
Build summaries, PivotTables, visualizations, and executive dashboards.
Improve existing dashboards using AI.
Build business and financial models with AI assistance.
Analyze profitability, margins, budgets, actuals, scenarios, and sensitivities.
Audit existing financial models.
Identify Excel tasks that should be automated.
Generate VBA and Office Scripts with AI.
Automate recurring reporting workflows.
Use AI to generate Python analysis for Excel.
Work with Python in Excel for advanced analysis.
Use Microsoft Copilot in Excel for editing, planning, reporting, and analysis.
Use ChatGPT with Excel to audit workbooks, find insights, and stress-test models.

Requirements
Basic working knowledge of Microsoft Excel.
Access to Microsoft Excel, Excel for the web, Google Sheets, or a similar spreadsheet tool.
Access to an AI tool such as ChatGPT, Claude, Gemini, or Microsoft Copilot.
No advanced Excel knowledge is required.
No coding or data analytics background is required.
A willingness to practice with simple spreadsheet examples as you learn.
Willingness to check AI outputs instead of blindly trusting them.

Description

Excel is no longer just a spreadsheet tool.
With AI, Excel can now help you write formulas, clean messy data, analyze business performance, build dashboards, create financial models, automate reports, and work like a business analyst.

But there is a problem.

Most people use AI with Excel in a shallow way. They ask for a formula, copy the answer, and hope it works. That is not enough.

If you want to use AI properly with Excel, you need a clear method. You need to know what to ask, how to check the answer, when to use formulas, when to use PivotTables, when to use Python, when to use Copilot, and when to use ChatGPT.

This course teaches you how to become an AI-assisted Excel analyst.

You will start with the AI Excel Method, then learn how to solve formula problems, repair broken workbooks, clean messy datasets, analyze performance, build management reports, create dashboards, build business and financial models, automate recurring work, and use advanced AI-assisted workflows with ChatGPT, Copilot, Python, VBA, and Office Scripts.

This is not a theory course. It is built around practical business problems and projects.

You will work through real analyst-style tasks such as fixing a broken sales workbook, cleaning 10,000 messy customer records, answering CEO-level business questions, building an executive sales dashboard, creating a 3-year business model, automating a monthly management report, and completing an AI Excel Analyst challenge.

You will also learn how to validate AIoutput instead of blindly trusting it.

That part matters. AI can help you move faster, but it can also make confident mistakes. This course teaches you how to use AI as an assistant while still thinking like an analyst.

By the end of the course,you will know how to use Excel, ChatGPT, Microsoft Copilot, Python, VBA, Office Scripts, formulas, PivotTables, dashboards, and business analysis workflows together to solve real spreadsheet problems faster and more intelligently.

Who this course is for
Beginners who want to use AI with Excel without feeling overwhelmed
Working professionals who deal with spreadsheets but struggle with formulas
Business owners, freelancers and analysts who want faster Excel problem-solving
Students who want a practical introduction to Excel plus AI
Anyone who receives messy spreadsheets and needs to clean, fix or understand them
Excel users who want help from ChatGPT, Claude or Copilot but do not know how to prompt properly

Homepage

https://www.udemy.com/course/ai-excel-analyst-copilot-claude-solve-spreadsheet-problems-faster/

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• views: 66
• date: 18 September 2026
• posted by: 0nelove

Healing Trauma through Acupuncture and Somatic Wisdom
Published 9/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 2h 25m | Size: 2.57 GB

Understand Trauma, the nervous system, acupuncture, somatic practices, and practical techniques for emotional support.

What you'll learn
Chinese Psychology
Healing Trauma
Emotional Trauma
Somatic Exercises

Requirements
For those who want to heal or work trauma patients whether Mental, Physical or emotional

Description
Trauma is not only something we remember—it can also be something the body continues to carry.

Unresolved emotional experiences can influence the nervous system, breathing, sleep, digestion, muscle tension, pain, emotional responses, and our relationship with ourselves and others.

In this course, Healing Trauma Through Acupuncture and Somatic Wisdom, we explore trauma from an integrative perspective, bringing together principles of acupuncture, Traditional Chinese Medicine (TCM), nervous-system regulation, and somatic awareness.

You will learn how acupuncture can be understood within a broader mind-body approach and how traditional concepts such as Qi, Shen, the Heart, Liver, Ren Mai and Du Mai can provide useful frameworks for understanding emotional and physical patterns.

The course also introduces practical somatic approaches, including breath awareness, grounding, body awareness, gentle movement, and techniques for recognising and regulating emotional activation.

In this course, you will learn

The relationship between trauma, emotions, the body, and the nervous system

How chronic stress and unresolved experiences may influence physical symptoms

Basic TCM perspectives on emotional and somatic patterns

The role of acupuncture in an integrative approach to trauma support

The connection between the Ren Mai and Du Mai and mind-body regulation

Somatic awareness and grounding techniques

Breathing practices for nervous-system regulation

How to recognise emotional activation and bodily responses

Practical ways to integrate acupuncture with somatic approaches

How to approach trauma work with greater awareness, compassion, and safety

This course is designed for acupuncturists, TCM practitioners, complementary-health professionals, therapists, students, and anyone interested in understanding the connection between emotional experiences and the body.

The goal is not to replace psychological or medical treatment, but to provide an integrative framework for understanding trauma and supporting mind-body regulation.

Learn to listen to the body—not just the symptoms.

Throughout the course, we will also explore how trauma may be held and expressed through different bodily patterns, emotional responses, and behavioural tendencies. You will be encouraged to develop a more compassionate understanding of these responses rather than viewing them simply as problems to be eliminated. By combining traditional wisdom with modern somatic perspectives, this course aims to help you see healing as a gradual process of reconnecting with the body, emotions, awareness, and a greater sense of safety.

Safety note: This course is educational and does not replace diagnosis, psychotherapy, emergency care, or other appropriate medical treatment. Address trauma-related conditions with qualified healthcare professionals when necessary.

Who this course is for
Acupuncturists
Energy healers
Psychologists
Holistic Healers
Homeopaths

Homepage

https://www.udemy.com/course/healing-trauma-through-acupuncture-and-somatic-wisdom/

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• views: 50
• date: 18 September 2026
• posted by: 0nelove

KoboToolbox Mastery: Complete Data Survey & Analysis
Published 9/2026
Created by Betterskill Research
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English + subtitle | Duration: 48 Lectures ( 3h 38m ) | Size: 1.9 GB

Learn Questionnaire Design, Data Collection, Management & Statistical Analysis with KoboToolbox from Basic to Advanced.

What you'll learn
⚡ How to design professional, research-ready questionnaires by understanding data types, question types.
⚡ How to build and customize forms in KoboToolbox, from account setup to creating core questions.
⚡ How to apply advanced form logic, including calculations, skip logic, hidden fields, and validation rules.
⚡ How to deploy forms and collect real-world data using KoboToolbox and the Kobo Data mobile app.
⚡ How to manage and organize collected data using table views, reports, maps, downloads, and submission editing.
⚡ How to analyze survey data statistically within KoboToolbox, including correlation, regression, and AI-assisted analysis techniques.

Requirements
❗ No prior knowledge or expertise required.

Description

Master Data Collection & Analysis with KoboToolbox: From Questionnaire Design to Statistical Analysis
Whether you're aresearcher,NGO professional,student, ordata enthusiast, collecting clean & reliable data is one of the most critical, and often most overlooked skills in any research or survey-based project. This course takes you from the fundamentals of questionnaire design all the way through to deploying digital surveys and analyzing your results, using KoboToolbox, one of the most widely used data collection platforms in research, humanitarian, and development work.

What will You Learn in this Course
✨ How to design professional, research-ready questionnaires by understanding data types, question types.

✨ How to build and customize forms in KoboToolbox, from account setup to creating core questions.

✨ How to apply advanced form logic, including calculations, skip logic, hidden fields, and validation rules.

✨ How to deploy forms and collect real-world data using KoboToolbox and the Kobo Data mobile app.

✨ How to manage and organize collected data using table views, reports, maps, downloads, and submission editing.

✨ How to analyze survey data statistically within KoboToolbox, including correlation, regression, and AI-assisted analysis techniques.

Why Take This Course
✨ Taught by research-minded instructors with real, hands-on experience using KoboToolbox in actual research and field settings.

✨ Every module is built around practical, real-world tasks, so what you learn translates directly into your own research, fieldwork, or professional projects.

✨ Covers the full workflow: from questionnaire design to deployment, data management, and statistical analysis.

✨ Includes advanced techniques like skip logic, validation rules, and AI-assisted data analysis.

✨ Designed to build career-ready, job-applicable skills, not just platform familiarity.

Who this course is for
⭐ Students
⭐ Researchers & Academicians
⭐ Humanitarian Workers
⭐ NGO Professionals
⭐ Field Enumerators & Survey Managers

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• views: 47
• date: 18 September 2026
• posted by: 0nelove

Learn AB-900 with Ease: The Memory-First Copilot Exam Prep
Published 9/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 49m | Size: 902.85 MB

A memory-first learning experience through original songs, real-world visuals, and rapid practice.

What you'll learn
Identify the core features and objects of Microsoft 365 services
Understand the Microsoft 365 security principles
Identify the core security features of Microsoft 365 services
Understand Microsoft Purview
Understand data security implications of Copilot
Identify data protection and governance risks for Microsoft 365 and Copilot
Understand features and capabilities of Copilot and agents
Perform basic administrative tasks for Copilot
Perform basic administrative tasks for agents
Pass the AB-900 exam by anchoring complex IT concepts using our unique mnemonic songs and memory-first methodology

Requirements
An open mind and a willingness to step into a journed of fast-paced, memory-first learning experience using music and visuals

Description
Preparing for the Microsoft AB-900 Copilot and Agent Administration certification usually means endless hours of dense documentation and monotonous lectures. This course changes the formula.

Welcome to a completely memory-first learning experience designed for quick, repeatable revision. We operate on a simple principle: learning becomes easier when every abstract IT concept has a sound, a visual, and a memory hook.

How This Course is Completely Different: Instead of cognitive overload, this course relies on a uniqueSong + Story + Screen + Test methodology. The entire curriculum is broken down into a compact, consistent flow so you move from curiosity to confidence effortlessly

-Hear It (Mnemonic Songs):Original mnemonic tracks turn dense ideas into repeatable phrases, giving you a powerful auditory recall tool for exam day.

-See It (Real Screenshots): We abandon abstract diagrams for real-world screenshots, making cloud controls and live environments concrete.

-Watch It (Micro-Learning): Every video presentation strictly stays under the two-minute mark for fast revision without losing the story.

-Retrieve It (Rapid Recall): Passive watching is converted into active recall with 5 quick check questions immediately following every single unit.+

The Learning Formula (By the Numbers)
-35 Bite-Sized Units: Covering the full scope of the AB-900 exam in a highly structured, repeatable format.

-2 Minutes Max Per Video: Short enough to start, memorable enough to repeat.

-175 Practice Questions: With 5 questions per unit, you have 175 opportunities to retrieve, check, and strengthen what you know.

Who this course is for
IT Professionals and System Administrators who are actively preparing to pass the Microsoft AB-900 Copilot and Agent Administration Fundamentals certification

https://www.udemy.com/course/learn-ab-900-with-ease-the-memory-first-copilot-exam-prep/

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