• views: 14
• date: 6 November 2026
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Operating a Cloud FinOps Practice
Released 11/2026
By Mycal Brown
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Advanced | Genre: eLearning | Language: English + subtitle | Duration: 48m 53s | Size: 138.3 MB

Cost visibility alone rarely changes how an organization spends on the cloud.

Cost visibility alone rarely changes how an organization spends on the cloud. Without a recurring operating rhythm, findings go unowned, the wrong people show up to reviews, and expensive decisions get committed before anyone checks the numbers. In this course, Operating a Cloud FinOps Practice, you'll gain the ability to run FinOps as a repeatable discipline that produces measurable results. First, you'll explore how to build a recurring cadence of cost, budget, forecast, anomaly, optimization, and planning reviews with the right stakeholders in each. Next, you'll discover how to translate cost findings into recommendations and escalations that engineers, finance partners, product owners, platform teams, and leadership will act on. Finally, you'll learn how to select KPIs and unit economics that show whether the practice is working and how to adjust reporting, governance, and cadence based on what they tell you. When you're finished with this course, you'll have the skills and knowledge of FinOps practice operations needed to keep cloud spend visible, owned, and improving over time

https://app.pluralsight.com/ilx/video-courses/finops-cloud-operating-practice/course-overview

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• views: 12
• date: 6 November 2026
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Chris Liebing Masterclass: My DJ Techniques & Vision Of Techno
Chris Liebing | Duration: 6:12 h | Video: H264 1920x1080 | Audio: AAC 44,1 kHz 2ch | Size: 18,7 GB | Language: English

Learn advanced DJ techniques and industry insights from the German Techno master

Chris Liebing is a worldwide requested techno DJ and producer with more than 30 years of experience. He has played in the best venues from all over the planet, from TimeWarp and Space Ibiza to the Love Parade in Berlin where he played in front of 800.000 people.

He was one of the first DJs that used the new digital technologies in a creative way due to his collaboration with various software and hardware makers, such as Native Instruments. The real-time manipulation of his tools (Maschine, Traktor, Allen & Heath K2) plays an important role in his sets. His current set up offers practically endless possibilities that you will discover and have access to in this exclusive Masterclass.

https://www.aulart.com/masterclass/chris-liebing-my-dj-techniques-vision-of-techno-en/

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• views: 13
• date: 6 November 2026
• posted by: 0nelove

MD-102: Preparing Infrastructure for Devices
Released 11/2026
By Glenn Weadock
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English + subtitle | Duration: 2h 55m 4s | Size: 612.2 MB

Moving to cloud-based management is a big job, but it begins by creating the basic infrastructure for ongoing endpoint administration.

Moving to cloud-based management is a big job, but it begins by creating the basic infrastructure for ongoing endpoint administration. In this course, MD-102: Preparing Infrastructure for Devices, you'll gain the ability to prepare your organization to leverage Mobile Device Management and Mobile Application Management. First, you'll explore how to enroll devices into Entra ID and Intune, using both manual and automatic methods. Next, you'll discover how to set up roles, scopes, and approvals for secure ongoing administration. Finally, you'll learn how to implement compliance and conditional access policies in the cloud as well as group and password policies on local devices. When you're finished with this course, you'll have the skills and knowledge of cloud identity and compliance principles needed to prepare your organization to fully leverage MDM and MAM capabilities built into Entra ID and Intune. This course aligns with the learning objectives for the MD-102 exam to obtain certification as an Endpoint Administrator Associate.

https://app.pluralsight.com/ilx/video-courses/md-102-preparing-infrastructure-devices/course-overview

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• views: 13
• date: 6 November 2026
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Class101 - Learn to Draw Aesthetically Pleasing and Believable Illustrations Using Fundamentals
Mono | Duration: 13:09 h | Video: AV01 1920x1080 | Audio: 0x704f 48 kHz 2ch | Size: 7,63 GB | Language: English

Do you find yourself struggling to improve your digital illustrations and techniques? Join this online class to learn the essential fundamentals and how to incorporate them into your artwork, resulting in more realistic and visually appealing pieces. This course provides valuable tips and studies that will help you overcome skill plateaus and emphasizes the importance of the lessons for artists of all levels.

Whether you are a beginner or an intermediate artist seeking to elevate your illustrations, or if you want to develop a keen eye for critical self-observation of your own work, this class is designed for you.

By the end of this course, you will have acquired valuable skills to simplify complex objects and illustrations in your workflow. You will also develop a more observant eye and learn how to effectively use references to enhance your artwork. Through comprehensive lessons, you will gain a solid foundation in shapes, lighting, anatomy, and more. Mastering these skills will significantly advance your artistic abilities and propel your artwork to new heights.

https://class101.net/en/products/624c5ee799b3d4000e12a07b

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• views: 12
• date: 6 November 2026
• posted by: 0nelove

Google Cloud Professional Cloud Network Engineer: Configuring and Implementing Hybrid and Multicloud Network Interconnectivity
Released 11/2026
By Janani Ravi
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Advanced | Genre: eLearning | Language: English + subtitle | Duration: 2h 2m 49s | Size: 328.9 MB

Organizations increasingly need to connect Google Cloud with on-premises environments, other VPC networks, and external cloud providers while maintaining reliable routing, high availability, and secure connectivity.

Organizations increasingly need to connect Google Cloud with on-premises environments, other VPC networks, and external cloud providers while maintaining reliable routing, high availability, and secure connectivity. In this course, Configuring and Implementing Hybrid and Multicloud Network Interconnectivity, you'll gain the ability to design, configure, and manage hybrid and cross-cloud network connectivity on Google Cloud. First, you'll explore Cloud Interconnect options, including Dedicated, Partner, and Cross-Cloud Interconnect, along with VLAN attachments, redundancy, and SLA design. Next, you'll discover how to configure site-to-site IPsec VPNs and use Cloud Router with BGP for dynamic route exchange and path selection. Finally, you'll learn how to use Network Connectivity Center to connect distributed networks, solve transitivity challenges, and support site-to-site connectivity through hub-and-spoke architectures. When you're finished with this course, you'll have the skills and knowledge of Google Cloud hybrid and multicloud networking needed to implement resilient connectivity across cloud

https://app.pluralsight.com/ilx/video-courses/google-cloud-professional-network-engineer-hybrid-multicloud-network-config-implement/course-over

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• views: 12
• date: 6 November 2026
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Dometrain - Getting Started: OpenID Connect
Released 11/2026
By Tore Nestenius
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Getting Started | Genre: eLearning | Language: English | Duration: 10h 27m | Size: 1.7 GB

Learn how OAuth and OpenID Connect work, from understanding tokens and claims to using the different flows.

Implementing delegated access and federated authentication correctly is critical for modern application security, yet the underlying protocols are often treated as a black box. This course breaks down exactly how OAuth 2 and OpenID Connect work under the hood. You will start by setting up a local development environment using Fiddler and OpenSSL to observe the OAuth Dance in real time. From there, you will explore the role of the OpenID Provider, learn why the Implicit Flow was deprecated for browser and backend applications, and dissect the anatomy of Opaque Tokens and JSON Web Tokens. We will examine the differences between the ID Token and Access Token, and how to request specific user data using Claims, Scopes, and the UserInfo Endpoint.

Once the fundamentals are in place, the course moves into the cryptography that keeps these protocols secure. You will learn how to sign tokens using symmetric and asymmetric algorithms like RSA and Elliptic Curve, and how to properly handle Key Distribution, Key Rotation, and Signature Validation. Next, we cover the modern standard for user authentication: the Authorization Code Flow. You will see how to exchange a code for tokens, manage Refresh Tokens, and secure the flow against attacks using the State Parameter, Nonce, at_hash, and PKCE. Finally, you will implement Single Sign-On, Sign-Out, and Token Revocation, before exploring the Client Credentials Flow for calling APIs and reviewing the latest best current practices in OAuth 2.1.

https://dometrain.com/course/getting-started-openid-connect/

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• views: 43
• date: 6 November 2026
• posted by: 0nelove

Fully Accredited Certificate In Eye Yoga - Masterclass
Last updated 1/2026
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.27 GB | Duration: 1h 46m

Master Eye Yoga Exercises and Eye Massage Techniques to Improve Eyesight, Anti Aging, and Holistic Eye Wellness

What you'll learn
Simplified Eye Yoga Theory
Benefits and Contraindications of Eye Yoga
Eye Yoga Exercises
Eye Massage
Acupressure for Eyes
Diet for Eyes

Requirements
None.

Description
This IAOTH, UK Accredited Professional Certification will help you learn and professionally practice Eye Yoga. You will be able to help yourself and others a Certified Eye Yoga Practicioner.

This concise programme is designed, keeping in mind that you may not have any prior knowledge about it, and you want to learn despite your busy schedule. So we have tried to avoid jargon as much as possible and simplified concepts and terminology for you.

This programme is accredited, and this Udemy course is recognized for certification by Virtued Academy International, an autonomous institute, under the Virtued Society, incorporated under the act 21, 1860 of the Government of U.P., India. Validity & Utility of the training is conditionally in conformity with the Constitution of India, and the laws of the land under Article 19 1 G. Virtued Academy International provides continuing education for individuals interested in self-development, and students should contact the IAOTH, UK for registration/accreditation and relevant local authorities for the scope of practice.

In this course, you will learn

Introduction to Eye Yoga

Benefits and Contraindications of Eye Yoga

Preparing for Eye Yoga

While Doing Yoga

Bhramari Exercise

Multi-directional Eye Exercise

The Three Circles Exercise

Near and Distant Viewing Exercise

Zoom-In and Zoom-Out Exercise

Eye Pushups

Jump Convergence Exercise

Figure Eight Exercise

Rolling Exercise

The 20-20-20

Palming Technique

Blinking Technique

Introduction to Eye Massage

Contrasting Water

Eye Socket Massage

Pressure Relieving Massage

Eyebrow Pinching Massage

Temples Massage

Acupressure for Better Eyes

Diet for Better Eyes

Who this course is for
Anyone who wants to improve his or others' eye wellness.

https://www.udemy.com/course/accredited-certificate-eye-yoga-exercise-massage-masterclass/

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• views: 14
• date: 6 November 2026
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Foundations of Conflict Resolution for HR Professionals
Released 11/2026
With Joanne Simon-Walters
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Skill level: General | Genre: eLearning | Language: English + subtitle | Duration: 1h 2m | Size: 297.6 MB

Learn how to diagnose conflict types, identify your conflict style, separate positions from interests, manage emotional escalation, listen under pressure, and frame issues in neutral language.

Course details
This scenario-driven course equips HR professionals, including business partners, generalists, and employee relations practitioners, with the core tools to confidently manage and resolve workplace disagreements. Learn how to diagnose conflicts and adapt your personal conflict resolution style. Find out how to separate positions from interests to uncover underlying needs. Discover how to regulate emotions and apply active listening techniques under pressure to reduce defensiveness. Then consider how to frame issues using neutral, behavior-focused language to drive productive resolutions. Gaining these skills can enhance your credibility as a trusted partner and foster healthier team dynamics. Plus, having a structured approach for conflict management helps you improve coaching and performance management.

Skills covered
Human Resources (HR), Conflict Resolution

https://www.linkedin.com/learning/foundations-of-conflict-resolution-for-hr-professionals

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• views: 11
• date: 6 November 2026
• posted by: 0nelove

Deploy Secure Workloads on AKS
Released 11/2026
By Majid Hajian
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Intermediate | Genre: eLearning | Language: English + subtitle | Duration: 57m 14s | Size: 185.6 MB

Standing up an AKS cluster is easy; proving that only the intended people and workloads can reach it, and that a deployed application is both running and protected, is the harder and more important job.

Standing up an AKS cluster is easy; proving that only the intended people and workloads can reach it, and that a deployed application is both running and protected, is the harder and more important job.

In this course, Deploy Secure Workloads on AKS, you'll gain the ability to secure administrative and workload access to an AKS cluster and deploy a workload through a verified, least-privilege application path.

First, you'll explore how to restrict administrative access to the intended Microsoft Entra ID principals and Kubernetes permissions, and prove that allowed paths succeed while restricted ones are denied.

Next, you'll discover how to grant a workload only the Azure identity and resource permissions it needs, connect it to Azure without storing static secrets, and diagnose denied access and identity misconfiguration.

Finally, you'll learn how to establish a trusted image and deployment source, configure service exposure and ingress, apply identity, network, and application access controls, and deploy and verify a workload that reaches a protected, serving steady state.

When you're finished with this course, you'll have the skills and knowledge of securing AKS access and deploying protected workloads needed to run production AKS workloads with confidence that only the intended paths are open.

Homepage

https://app.pluralsight.com/ilx/video-courses/aks-deploy-secure-workloads/course-overview

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• views: 10
• date: 6 November 2026
• posted by: 0nelove

DataOps Foundations: Governance and Collaboration
Released 11/2026
By Matt Stenzel
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English + subtitle | Duration: 49m 42s | Size: 97.8 MB

Many data teams struggle, not because their pipelines are complex, but because their governance practices are unclear and their collaboration habits are fragmented.

Many data teams struggle, not because their pipelines are complex, but because their governance practices are unclear and their collaboration habits are fragmented. This leads to inconsistent definitions, compliance risks, slow delivery, and low trust in data.

In this course, DataOps Foundations: Governance and Collaboration, you'll gain the ability to build trusted, well-managed, and collaborative DataOps ecosystems where governance and teamwork accelerate outcomes instead of blocking them.

First, you'll explore how governance frameworks, policies, standards, and stewardship roles create responsible, secure, and consistent data usage across domains and pipelines.

Next, you'll discover how communication routines, shared artifacts, metadata, and documentation reduce friction and align producers, consumers, and stakeholders around shared outcomes.

Finally, you'll learn how to apply cross-functional workflows and feedback loops that streamline handoffs, resolve conflicting requirements, and support adaptive, product-oriented DataOps practices.

When you're finished with this course, you'll have the skills and knowledge of DataOps governance and collaboration needed to deliver trusted, compliant, and high-quality data through aligned, collaborative, and well-governed operational practices.

https://app.pluralsight.com/ilx/video-courses/dataops-foundations-governance-collaboration/course-overview

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• views: 11
• date: 6 November 2026
• posted by: 0nelove

Data Hydration and State Persistence in ASP.NET Core 10 Blazor
Released 11/2026
By Andy Watt
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Intermediate | Genre: eLearning | Language: English + subtitle | Duration: 57m 26s | Size: 243.2 MB

When a static server-rendered Blazor page becomes interactive, its components start over, re-fetching data the server already rendered, flashing loading indicators over finished content, and tempting developers toward global state containers that leak between users.

When a static server-rendered Blazor page becomes interactive, its components start over, re-fetching data the server already rendered, flashing loading indicators over finished content, and tempting developers toward global state containers that leak between users. In this course, Data Hydration and State Persistence in ASP.NET Core 10 Blazor, you'll gain the ability to carry state cleanly across the SSR-to-interactive boundary. First, you'll explore how the hydration handoff works and see the double-fetch and flicker problem live. Next, you'll discover how the[PersistentState] attribute serializes server-fetched data into the page and restores it during interactivity, including what's really in the persisted payload, and what must never go in it. Finally, you'll learn how to share per-user state safely with scoped services, cascading values, and persistent service registration, and how to architect your data flow so every piece of state has exactly one home. When you're finished with this course, you'll have the skills and knowledge of data hydration and state persistence needed to build SSR-first Blazor applications that become interactive without re-fetching, flickering, or leaking state.

https://app.pluralsight.com/ilx/video-courses/data-hydration-state-persistence-asp-dot-net-core-10-blazor/course-overview

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• views: 6
• date: 6 November 2026
• posted by: voska89

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• date: 6 November 2026
• posted by: 0nelove

Calibrating Operational Constraints for AI Workloads at Cloud Scale
Released 11/2026
By Zachary Bennett
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Advanced | Genre: eLearning | Language: English + subtitle | Duration: 56m 42s | Size: 186.6 MB

AI workloads swing wider than the services most teams know how to alert on, so limits copied from predictable services either page all day or miss a runaway agent until the bill arrives.

AI workloads swing wider than the services most teams know how to alert on, so limits copied from predictable services either page all day or miss a runaway agent until the bill arrives. In this course, Calibrating Operational Constraints for AI Workloads at Cloud Scale, you'll gain the ability to set cost, quality, and permission limits on an AI workload that are loose enough to live with and tight enough to warn you early. First, you'll explore how to read what normal looks like from a workload's own cost, latency, and invocation telemetry, and which signal moves first in a retry storm, an agent loop, context growth, and quality drift. Next, you'll discover how to set threshold values knowing that tighter means earlier warning and more false alarms, and how to decide whether a tripped limit should page someone, slow things down, fall back, or stop. Finally, you'll learn how to scope identity and tool permissions so a mistake stays small, verify each boundary by trying something it should refuse, and validate the whole set against ordinary days and a failure you already know the shape of. When you're finished with this course, you'll have the skills and knowledge of operational constraints for AI workloads needed to calibrate limits that hold up in production.

https://app.pluralsight.com/ilx/video-courses/ai-workloads-cloud-scale-calibrating-operational-constraints/course-overview

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• date: 6 November 2026
• posted by: 0nelove

Assembling Production-Ready Azure Environments
Released 10/2026
By Afzaal Ahmad Zeeshan
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Advanced | Genre: eLearning | Language: English + subtitle | Duration: 54m 8s | Size: 168.8 MB

Individually provisioning Azure compute, storage, networking, and identity is routine work, but assembling those pieces into an environment another operator can inherit, trust, and support is a different skill, and it is the one that fails most visibly in production.

Individually provisioning Azure compute, storage, networking, and identity is routine work, but assembling those pieces into an environment another operator can inherit, trust, and support is a different skill, and it is the one that fails most visibly in production. In this course, Assembling Production-Ready Azure Environments, you'll gain the ability to compose, validate, and hand off a production-like Azure environment for a defined workload. First, you'll explore how to turn a workload specification into deployment scope, network context, a baseline identity and secrets configuration, workload placement, and a health monitoring baseline. Next, you'll discover how to prove the environment behaves as intended by confirming that intended application paths are reachable and return expected responses, that resources meant to stay private are unreachable from outside their boundary, and that health signals, logs, and access records are genuinely being produced. Finally, you'll learn how to prepare the environment for operational handoff by documenting its components, dependencies, and access model, naming the assumptions and unverified conditions the next operator must be told about, and assembling the evidence that demonstrates it is ready to receive a workload. When you're finished with this course, you'll have the skills and knowledge of Azure environment assembly needed to stand up an environment another engineer can operate without reverse-engineering it.

Homepage

https://app.pluralsight.com/ilx/video-courses/azure-environments-production-ready-assembling/course-overview

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• views: 14
• date: 6 November 2026
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AI Prompting with Style and Flair
Released 11/2026
With Shani Raja
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Skill level: Beginner + Intermediate | Genre: eLearning | Language: English + subtitle | Duration: 1h 13m | Size: 232.4 MB

Enhance your prompt writing through a framework of simplicity, clarity, elegance, and evocativeness. Transform generic AI drafts into polished, professional content that resonates.

Course details
Discover how to prompt AI with the stylistic precision of a seasoned editor. Explore how to use four essential ingredients—simplicity, clarity, elegance, and evocativeness—to elevate the quality of AI-generated content. Find out how to remove clutter, streamline ideas, and enhance the rhythm and cadence of your writing. Obtain techniques to infuse your writing with vivid detail, emotion, and atmosphere while maintaining professional tone and restraint. Through diagnosing writing passages, you can identify exactly what your content needs and adapt your AI prompting methods accordingly. Strengthen your personal writing style while collaborating with AI, and gain the skills needed to transform generic AI drafts into vivid narratives with a professional touch.

Skills covered
AI Prompting, Artificial Intelligence (AI), Prompt Writing

https://www.linkedin.com/learning/ai-prompting-with-style-and-flair

https://nitroflare.com/view/A6BA20C0F8FBF7A/AI_Prompting_with_Style_and_Flair.rar

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• date: 6 November 2026
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AI Engineer Bootcamp 2027: LLM, RAG, AI Agents, MCP (Python)
Published 11/2026
Created by Bahadır ERDUN
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English + subtitle | Duration: 79 Lectures ( 10h 42m ) | Size: 4.5 GB

Learn AI engineering in Python: prompt engineering, RAG, tool calling, AI agents, LangGraph, MCP, Ollama. Build Jarvis

What you'll learn
⚡ Call OpenAI-compatible APIs from Python and understand messages, roles, system prompts, tokens and cost
⚡ Use OpenAI, Gemini and Ollama with one codebase, and learn how the Claude SDK differs
⚡ Build a streaming chat screen with Streamlit and manage conversation history
⚡ Get reliable structured output from a model with JSON and pydantic schemas
⚡ Test LLM apps with a fake model and pytest, without any network calls
⚡ Build semantic search and a semantic cache with embeddings and cosine similarity
⚡ Build a RAG system that answers questions about PDFs: chunking, thresholds, citing sources, preventing hallucinations
⚡ Build tool calling by hand and then natively, and add approval and undo to tools that write
⚡ Write a think-act-observe (ReAct) agent by hand, make it safe and rebuild it with LangGraph
⚡ Write an MCP server and connect your app to other MCP servers
⚡ Run local models with Ollama and route requests local first, cloud when the local model doesn't know
⚡ Round off the app with speech (Whisper, TTS), vision, evals, cost measurement and prompt injection defenses

Requirements
❗ Basic programming knowledge is required (variables, loops and functions in any language). The Python constructs used in the course are explained briefly the first time they appear, and there are two "Python for AI" lessons.
❗ Python 3.14 and VS Code should be installed. If you don't know how, that's fine: the first lesson shows how to install Python, VS Code and Ollama on a clean PC step by step, and a written setup guide (PDF) is included in the course files.
❗ A Windows, macOS or Linux computer. At least 8 GB of RAM is recommended for the local model lessons; a GPU is not required.
❗ An OpenAI API key (paid; the calls in the lessons cost fractions of a cent, and we show how to set a spending limit). Gemini and local model (Ollama) options are covered too.
❗ No AI or machine learning knowledge is needed.

Description
This course contains the use of artificial intelligence.

If you want to learn how to build a real AI product with ready-made language models, this course was made for that. An AI engineer usually does not train models from scratch; they turn ready models such as OpenAI, Gemini, Claude or a local model running on your own computer into a product with their own code, and fine-tune when needed. University "AI engineering" degrees cover the whole field; in this course we use the term in its current industry sense: the engineer who builds products on ready models. You learn it in Python, with small projects that each run on their own: prompt engineering, RAG, tool calling, AI agents (agentic AI), LangGraph and MCP; from setup to deployment in about ten hours. The course is beginner-level in AI: no AI or machine learning background is needed, we start from installing Python and the very first API call; basic programming knowledge (variables, loops, functions in any language) is enough, and two short "Python for AI" lessons cover the constructs we use.

How do we learn?
Every lesson teaches one concept and first shows the problem on screen: without a system message the model gives a long, messy answer; without conversation history it forgets your name; without RAG it makes things up; an agent without a step limit runs in circles; a poisoned PDF tricks the assistant. Then we add the few lines that fix the problem, repeat the same experiment and watch the problem go away. The code of every lesson is downloadable, and every lesson ends with a "run and watch" step: which command to type, what you will see on screen, and how to read the most common error messages.

What do we build?
The pieces you write during the lessons come together at the end asJarvis, a personal assistant: a chat screen with Streamlit, several model providers, local-first routing with the cloud as a fallback, JSON skill files, fuzzy text matching, a semantic cache, asking questions about your PDFs (RAG), user memory, weather, note and reminder tools (with approval and undo), an agent built by hand and the same agent in LangGraph, an MCP server and client, push-to-talk speech (Whisper), spoken answers (TTS), screenshot understanding and a small eval set.

Beyond Jarvis: forward deployed engineer skills. A final section takes the assistant into a customer's world with the skills of a forward deployed engineer: discovery, data integration, CI/CD, observability, demos. You turn a messy customer brief into a one-page spec and an acceptance eval, connect a SQL database, CSV/Excel and legacy feeds and a SaaS REST API, build a website assistant with FastAPI and a chat widget, and ship it with GitHub Actions, traces, API keys and a demo script.

Topics
✨ LLM APIs: messages, roles, system prompts, tokens and cost, streaming

✨ One codebase, many providers: the OpenAI-compatible standard, Ollama, Gemini, Claude SDK differences

✨ Model settings and prompt engineering: temperature, top_p, max_tokens, seed, few-shot examples, prompt templates

✨ Structured output: getting JSON from a model, pydantic schemas

✨ Testing with a fake model (pytest): no API calls, free, done in seconds

✨ Coding with AI, and checking the tests AI writes with mutation testing

✨ Embeddings, cosine similarity, a semantic cache, picking an embedding model by measuring it

✨ RAG: chunking PDFs, similarity thresholds, teaching the model to say "it's not in the document", citing sources, and the Chroma vector database

✨ Tool calling: first by hand with a JSON protocol, then with native tool calling

✨ AI agents: the ReAct loop, step limits, pausing for approval and resuming, LangChain and LangGraph

✨ MCP (Model Context Protocol): writing your own server and connecting to other servers

✨ Local models: Ollama, hybrid routing (local first, cloud when it doesn't know), Hugging Face pipelines, LoRA fine-tuning

✨ Speech and vision: Whisper, TTS, showing the model an image

✨ Production: evals, cost and speed, prompt injection, API key security, deployment (GitHub, Streamlit Cloud, Docker), responsible AI and GDPR

✨ Forward deployed engineering: discovery and specs, system design, SQL and file-feed integration, REST APIs with retries and idempotency, a FastAPI website assistant, CI/CD with GitHub Actions, observability, access control, demos and handoff

Course language and tools: narration in English. Python 3.14, VS Code, Streamlit, the OpenAI Python SDK, Ollama, LangGraph, the MCP Python SDK. The code is shown on screen in a real VS Code view and explained line by line.

Who it's not for: this course is about building products on ready models. We train a tiny GPT from scratch and LoRA-fine-tune a model to understand what's inside, but training large models (ML engineering) and data analysis/prediction models (data science) are out of scope.

Who this course is for
⭐ Software developers who want to build products with ready-made language models
⭐ Developers coming from another language (C#, Java, jаvascript.) who want to start building AI apps in Python
⭐ Anyone who wants to learn RAG, AI agents, tool calling and MCP with working code
⭐ People who want to build their own personal assistant or an internal AI tool for their company
⭐ Developers thinking about moving into an AI engineer role
⭐ Software engineers, product managers and DevOps engineers with no prior AI experience who need to build, integrate or evaluate LLM features at work

https://nitroflare.com/view/2C2B08DB73EB860/AI_Engineer_Bootcamp_2027_LLM%2C_RAG%2C_AI_Agents%2C_MCP_%28Python%29.part1.rar
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• views: 9
• date: 6 November 2026
• posted by: 0nelove

Advanced Asynchronous jаvascript Patterns with AI Augmentation
Released 11/2026
By Jaecee Grant
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Advanced | Genre: eLearning | Language: English + subtitle | Duration: 1h 35m 30s | Size: 296.9 MB

Modern jаvascript development demands more than writing asynchronous code—it requires designing resilient systems that efficiently coordinate concurrent work, streaming data, and increasingly capable AI collaborators.

Modern jаvascript development demands more than writing asynchronous code—it requires designing resilient systems that efficiently coordinate concurrent work, streaming data, and increasingly capable AI collaborators. Many developers understand the mechanics of async programming but struggle to architect workflows that remain maintainable, performant, and AI-friendly as applications grow in complexity. In this course, Advanced Asynchronous jаvascript Patterns with AI Augmentation, you'll gain the ability to design sophisticated asynchronous jаvascript architectures while effectively leveraging AI throughout the development lifecycle. First, you'll explore how the modern jаvascript runtime executes asynchronous operations, enabling you to reason about scheduling, task coordination, and efficient execution. Next, you'll discover resilient concurrency patterns for coordinating independent work, handling failures gracefully, and maximizing throughput. You'll then learn how to build streaming and iterative workflows that process data efficiently while maintaining responsiveness. Finally, you'll apply agentic orchestration techniques to coordinate AI-assisted development and use AI to analyze application performance, identify bottlenecks, and recommend architectural improvements. When you're finished with this course, you'll have the skills and knowledge of advanced asynchronous jаvascript architecture needed to build scalable, resilient applications while using AI as a force multiplier throughout the software development process.

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