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Strategic Narrative & Storytelling for Leaders
Published 9/2026
Created by Zubin Rashid (Learning and Development Academy)
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 17 Lectures ( 1h 19m ) | Size: 615.9 MB

Leadership storytelling: build narrative structure, pick your protagonist, use metrics, and deliver with confidence.

What you'll learn
⚡ Explain why narrative drives alignment, trust, and decision-making speed more effectively than information alone
⚡ Apply the three-part narrative structure (context, conflict, resolution) to any real strategic priority
⚡ Choose the right protagonist for a narrative, organization, team, or customer, based on the audience and purpose
⚡ Reverse-engineer an existing decision or strategic priority into a clear, honest narrative
⚡ Select a metric that supports a narrative honestly, including what it cost to achieve
⚡ Compress a full narrative into a single, repeatable sentence using the tension-so-pivot formula
⚡ Expand a one-sentence narrative for different audiences and formats without changing its underlying shape
⚡ Match delivery pace, structure, and tone to different audiences, including executive peers and frontline teams
⚡ Reinforce, update, and retire a narrative over time as strategy and circumstances evolve
⚡ Produce a completed, one-page Strategic Narrative Brief ready to deliver to a real stakeholder

Requirements
❗ No prior writing, storytelling, or public speaking experience required
❗ No software or tools needed beyond something to write with, a notebook, a document, or a phone
❗ A real, current strategic priority to work with (a decision, initiative, or change you are already leading or involved in) will make the course far more useful, though one is not required to follow along
❗ Willingness to complete short written and spoken exercises throughout the course, since the course is built around applying the method to your own work, not just watching

Description
Most leaders are not short on strategy. They have the plan, the roadmap, the metrics, the quarterly targets. What they are often short on is a story their team can actually hold onto and repeat back to them, in their own words, without a slide deck in front of them.

That gap, between having a strategy and having a narrative, is where good plans quietly fall apart. Information tells people what happened. Only narrative tells them why it matters and gives them something to carry out of the room. This course teaches you how to close that gap, using a practical, repeatable method rather than vague inspiration about being a better storyteller.

You will start by learning why narrative drives alignment, trust, and speed inside a team, and why relying on information alone leaves your best decisions vulnerable to being forgotten within days. From there, you will learn the three-part structure behind every narrative that actually works: context, conflict, and resolution, and how to choose the right protagonist, your organization, your team, or your customer, depending on who you are speaking to.

The middle of this course is entirely hands-on. You will take one of your own real strategic priorities and reverse-engineer it into this structure, attach one honest metric that survives being paired with its own cost, and compress the whole thing into a single sentence you can say out loud in a hallway, a Slack message, or a board meeting. You will also learn how to expand that same sentence for different rooms, from a quick team update to a full board presentation, without changing its underlying shape or losing what makes it true.

Delivery gets equal attention. You will learn how to match your pace, order, and tone to the audience in front of you, whether that is a skeptical executive peer or a frontline team hearing the reasoning for the first time. And because a narrative is not a one-time announcement, you will finish the course knowing how to reinforce it while it is alive, update it honestly when strategy shifts, and retire it gracefully once it goes flat.

By the end, you will not walk away with theory. You will walk away with a completed, one-page Strategic Narrative Brief, built from your own real work, tested against two practical checks, and ready to use with a specific stakeholder within the week.

This course is built for leaders, managers, and aspiring leaders at any level who need people to understand and act on their decisions, not just comply with them. No writing background or public speaking experience is required, just a real strategic priority to work with and the willingness to say your narrative out loud.

Who this course is for
⭐ Leaders and managers who need their team, peers, or board to understand and act on a decision, not just comply with it
⭐ Aspiring managers and leaders preparing to communicate strategy and decisions with more clarity and confidence
⭐ Anyone who has watched a well-reasoned decision get forgotten, misunderstood, or quietly resisted within weeks of being announced
⭐ Leaders who rely heavily on slides, data, and status updates and want a way to make those updates more memorable and persuasive
⭐ Managers who need to communicate the same strategic message differently across executive, peer, and frontline audiences
⭐ Anyone preparing for a specific upcoming moment, a town hall, a board update, a major team announcement, where the stakes of being understood are high

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• views: 84
• date: 14 September 2026
• posted by: 0nelove

Dating App Business: Launch, Market and Monetise
Published 9/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 40m | Size: 169.13 MB

Validate your niche, plan an MVP, attract users and build a lean dating business around your lifestyle.

What you'll learn
Define a focused dating-app niche and a clear promise based on a specific user problem.
Plan discovery interviews and choose a small MVP experiment before committing to more features.
Design an honest one-market beta and a measurable customer-acquisition experiment.
Assess pricing, acquisition costs and contribution using observed evidence rather than growth promises.
Document repeatable work, delegate with clear responsibilities and verify the outcome.
Identify essential trust, moderation and escalation requirements before inviting real participants.
Build a lean operating plan that protects focused work and supports your intended lifestyle.

Requirements
No programming experience is required. Bring a dating, social or community-app idea and a notebook or document for the practical exercises. Teaching and resources are in English.

Description
A dating app needs more than profiles and a matching feature. It needs a clear reason for a particular community to join, a useful experience that earns their trust, and a business model that can support the service.

This course gives aspiring founders a practical framework for developing a differentiated dating-app business, from the first idea to launch, customer acquisition and everyday operations. The focus is on making informed decisions before you commit to unnecessary features, expenses or complexity.

Define a differentiated concept and a lean MVP
Start with a real user problem and an underserved niche. Define your ideal customer, investigate alternatives and develop a clear unique selling proposition. Apply blue-ocean thinking in practical terms: find a meaningful difference for a specific audience instead of copying a larger platform. Connect that promise to your name, branding and initial feature set.

Next, scope a lean minimum viable product. Use the workbook to plan questions for prospective users, a small demand test and the evidence you need before adding features. Consider a focused beta or geographic launch. Treat product-market fit as something to investigate through user behaviour, not something a launch automatically delivers.

Plan acquisition and a viable revenue model
Use the launch workbook to choose an acquisition experiment around where your audience already spends time. Define the audience, message, budget, measurement and stop rule before spending. Draft clear landing-page copy and distinguish sign-ups from evidence that people will pay. The emphasis is on planning and evaluating a small test, not on step-by-step advertising-platform tutorials.

Consider monetisation alongside the experience you offer: what users would pay for, why they would return and whether revenue can support your operating costs. Customer support, moderation and scam prevention belong in the business plan from the start, not as afterthoughts.

Build repeatable operations around your lifestyle
Then build the systems behind the service. Document recurring tasks, define responsibilities, delegate with clear instructions and review completed work through evidence. Use automation where appropriate while retaining oversight. Simplify your tools, protect focused working time and create reusable procedures that reduce dependence on you.

Who this course is for
This course is for aspiring dating-app founders, solo entrepreneurs and existing platform owners. The principles also apply to social and community apps. No programming experience is required to follow the business framework; this is not a code-along development course or personal dating advice.

Your practical outcome
Your practical outcome is a connected business blueprint: a focused concept, an MVP and launch plan, acquisition and revenue hypotheses, and an operating approach shaped around your desired lifestyle. Use it to take the next step, test what works and improve deliberately. Building a sustainable business requires ongoing effort; income and user growth are not guaranteed.

Who this course is for
Aspiring dating-app founders and solo entrepreneurs who want to investigate a niche, plan a lean launch and design sustainable operations.
Owners of early-stage dating, social or community apps who want to improve positioning, acquisition tests and delegation. This is a business framework, not a code-along or personal dating-advice course.

Homepage

https://www.udemy.com/course/launch-market-monetize-dating-app-business/

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Real-Time Intelligence and KQL with Microsoft Fabric
Published 9/2026
Created by Mikail Altundas
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 34 Lectures ( 3h 7m ) | Size: 2 GB

Master Real-Time Intelligence in Fabric from end to end: KQL, Eventstream, Eventhouse, KQL Database, Real-Time Dashboard

What you'll learn
⚡ Build solid skills in Real-Time Intelligence with Microsoft Fabric
⚡ Master the key Real-Time Intelligence components: Eventstreams, Eventhouses, KQL databases, Real-Time Dashboards, and Activator
⚡ Learn how to use KQL (Kusto Query Language)
⚡ Ingest, transform, analyze, and visualize streaming data in Microsoft Fabric
⚡ Design an end-to-end Real-Time Intelligence architecture, from the data source to dashboards and automated actions
⚡ Apply best practices for real-time data processing
⚡ Avoid common pitfalls when designing a Real-Time Intelligence architecture
⚡ Build the skills needed to deliver enterprise-ready Real-Time Intelligence projects
⚡ Develop skills relevant to the DP-700 : Microsoft Fabric Data Engineer Associate certification
⚡ Earn a certificate of completion

Requirements
❗ A basic understanding of Microsoft Fabric will be helpful

Description

Build solid skills in Real-Time Intelligence with Microsoft Fabric
Understand the fundamentals of Real-Time Intelligence in Microsoft Fabric and learn how to work effectively with real-time data. You'll discover how these capabilities can be used to address real-world business requirements.

Master the key Real-Time Intelligence components: Eventstreams, Eventhouses, KQL databases, Real-Time Dashboards, and Activator
Explore the core components of Real-Time Intelligence in Microsoft Fabric and understand the role each one plays. You'll learn how to combine them to ingest, analyze, visualize, and act on real-time data.

Learn how to use KQL (Kusto Query Language)
Learn how to use KQL to quickly explore and analyze data in Microsoft Fabric. You'll learn how to filter, transform, aggregate, and extract valuable insights from event data.

Ingest, transform, analyze, and visualize streaming data in Microsoft Fabric
Learn how to handle streaming data end to end, from ingestion through to visualization. You'll discover how to transform and analyze events in real time using Microsoft Fabric.

Design an end-to-end Real-Time Intelligence architecture, from the data source to dashboards and automated actions
Learn how to build a complete Real-Time Intelligence architecture, from data ingestion and storage to analysis and visualization. You'll also learn how to trigger automated actions based on real-time events.

Apply best practices for real-time data processing
Learn best practices for designing real-time data solutions that are efficient, reliable, and maintainable. You'll learn how to structure your data streams and Microsoft Fabric components more effectively.

Avoid common pitfalls when designing a Real-Time Intelligence architecture
Identify common issues related to streaming, architecture, and performance. You'll learn how to make the right technical decisions to build more robust and scalable Real-Time Intelligence solutions.

Build the skills needed to deliver enterprise-ready Real-Time Intelligence projects
Develop practical skills that you can apply directly to professional projects involving Microsoft Fabric and Real-Time Intelligence. You'll work with concepts and scenarios that reflect real-world business requirements.

Develop skills relevant to the DP-700 certification
Strengthen your knowledge of Microsoft Fabric, KQL, data ingestion, and real-time architectures. These skills will also support your preparation for the Microsoft DP-700 certification.

Earn a certificate of completion
Receive a certificate of completion that demonstrates the skills you've developed in Microsoft Fabric and Real-Time Intelligence.

Who this course is for
⭐ Beginners who want to learn Real-Time Intelligence in Microsoft Fabric
⭐ Developers and data professionals who want to learn KQL and Microsoft Fabric's Real-Time Intelligence tools
⭐ Professionals already working with Microsoft Fabric who want to deepen their knowledge of the Real-Time Intelligence workload
⭐ Anyone looking to develop skills relevant to the DP-700: Microsoft Certified Fabric Data Engineer Associate certification

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• views: 104
• date: 14 September 2026
• posted by: 0nelove

The Complete ChatGPT Ads Course
Published 9/2026
MP4 | Video: h264, 1024x576 | Audio: AAC, 44.1 KHz
Language: English | Size: 520.57 MB | Duration: 1h 15m

Learn to Create, Launch, Target and Optimize ChatGPT Ads Campaigns From Scratch

What you'll learn
Understand how ChatGPT Ads work and how this new advertising channel can fit into their customer acquisition strategy.
Identify customer intent and create relevant targeting, context hints, ad groups and campaign structures for ChatGPT Ads.
Create, launch and measure their first ChatGPT Ads campaigns using practical strategies, creatives and campaign frameworks.
Analyze campaign performance, identify optimization opportunities and improve their ChatGPT Ads campaigns using a structured process.

Requirements
No prior ChatGPT Ads experience is required. Basic knowledge of your business, product or service and access to ChatGPT is helpful.

Description
This course contains the use of artificial intelligence.ChatGPT Ads are introducing a new way for businesses to reach potential customers inside conversational AI. Instead of advertising only around traditional searches, businesses can now explore advertising opportunities within an environment where people are already researching problems, comparing options and making decisions.Learn How To Advertise On ChatGPT With A Practical, Step-By-Step FrameworkIn this course, you will learn how ChatGPT Ads work, how campaigns are structured, how customer intent and relevance influence your strategy, and how to create and optimize your own campaigns.You will learn how to:• Understand how ChatGPT Ads work and where ads can appear• Understand the difference between traditional advertising and advertising in a conversational AI environment• Set up the fundamentals of a ChatGPT Ads campaign• Identify customer problems, situations and buying intent• Build relevant ad groups and context hints• Create ChatGPT Ads with different messaging and creative angles• Structure campaigns for e-commerce, coaches, course creators and service businesses• Understand the key metrics used to evaluate ChatGPT Ads performance• Set up a practical measurement and tracking approach• Analyze campaign performance and identify what needs improvement• Build a structured optimization process instead of making random changes• Understand common ChatGPT Ads mistakes and how to avoid them• Develop a practical approach for testing and improving your campaignsThis course is designed to be practical and implementation-focused. Rather than simply explaining the future of AI advertising, you will learn the actual concepts, campaign structure and strategic thinking required to work with ChatGPT Ads.A major focus of the course is customer intent.People use ChatGPT differently from traditional search engines. They can describe a problem, ask for information, compare different solutions, evaluate options and eventually move toward a decision. Understanding this journey is important when developing relevant advertising strategies for ChatGPT.You will also learn how to think beyond a single ad interaction. ChatGPT Ads can become one touchpoint in a broader customer journey, where interested visitors can continue through your website, retargeting campaigns and follow-up marketing.The course also covers campaign measurement and optimization so you can evaluate what is happening after launch and decide what to test next.Whether you are an e-commerce business owner, coach, course creator, consultant, service provider, marketer or agency professional, this course will give you a structured foundation for understanding and implementing ChatGPT Ads.No previous ChatGPT Ads experience is required.By the end of the course, you will have a practical framework for researching customer intent, structuring campaigns, creating ads, measuring performance and optimizing your ChatGPT Ads strategy.

E-commerce brands, coaches, course creators, consultants and service business owners who want to learn how to use ChatGPT Ads to reach potential customers.

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• views: 124
• date: 14 September 2026
• posted by: 0nelove

Claude Certified Developer Foundations CCDV-F Video Course
Published 9/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.41 GB | Duration: 8h 3m

Easy-to-follow video training: master Claude API integration, agentic workflows, MCP servers, and Claude Code

What you'll learn
Design agentic workflows using the Hub-and-Spoke model and coordinate subagents effectively
Integrate Claude via the Messages API, including streaming, vision, and extended thinking
Build and debug custom tools, function schemas, and MCP servers for Claude applications
Implement security best practices, including prompt injection defenses and secrets management

Requirements
Basic programming experience in any language is recommended before starting this course
Familiarity with REST APIs and JSON will help but is not strictly required
No prior experience with Claude or large language models is needed — foundational concepts are covered from the start

Description
This course contains the use of artificial intelligence.The Claude Certified Developer – Foundations (CCDV-F) certification is a foundational technical credential for professionals who build, integrate, and deliver Claude-powered applications, agents, and workflows. It validates a developer's ability to construct agents and workflows, integrate Claude through APIs and SDKs, implement custom tools, develop Model Context Protocol (MCP) servers, configure Claude Code, evaluate and debug application behavior, select and optimize Claude models, engineer prompts and context, and apply security and safety controls.This video training course provides a structured and comprehensive path to mastering the CCDV-F exam objectives through practical, developer-focused lessons. The course explores agent and workflow design, the Hub-and-Spoke coordination model, custom agent loops, API and client SDK integration, function calling, tool implementation, error handling, structured outputs, MCP server development, and Claude Code configuration. It also examines evaluation strategies, testing and debugging techniques, prompt and context engineering, model selection, token and cost optimization, prompt caching, application security, prompt injection defenses, and the secure management of credentials and sensitive information.Throughout the course, learners gain practical knowledge of agents and workflows, application integration, Claude Code, evaluation, testing, debugging, model optimization, prompt and context engineering, security, custom tools, and MCP development. The training explores how developers can use Claude models, APIs, SDKs, Skills, tools, and MCP servers to create dependable applications and agentic systems, while managing context effectively, validating structured outputs, analyzing application traces, handling API and tool errors, controlling costs and latency, applying least-privilege access, and protecting sensitive data.Whether you're building your first Claude-powered application or preparing for the official CCDV-F certification exam, this course gives you the practical, hands-on foundation to do it with confidence.

Software developers and engineers looking to build production-grade applications, agents, and workflows powered by Claude,Backend and API developers who want to integrate Claude into existing systems using the Messages API, SDKs, and custom tools,Developers preparing for the Claude Certified Developer – Foundations (CCDV-F) certification exam

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