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Building Scalable APIs with GraphQL
August 2016 | MP4 | Video: AVC 1280×720 | Audio: AAC 44KHz 2ch | Duration: 2 Hours 10M | 389 MB
Genre: eLearning | Language: English​

GraphQL is a query language and runtime that can provide a common interface between client and server applications for fetching and manipulating data. This course will show you how to build and consume GraphQL APIs with real-world examples.

Want to get up and running with building and consuming GraphQL APIs? In this course, Building Scalable APIs with GraphQL, you’ll learn what separates GraphQL from other languages and API runtimes, as well as what problems GraphQL solves, and how to use it for declarative data communication. This course is a great place to start for learning GraphQL, but to get the most from this course, you should have some experience with JavaScript and with NoSQL databases, including MongoDB or PostgreSQL. You’ll learn how to create a GraphQL schema and how to use it via any interface, including an HTTP-based one. Next, you’ll learn to use multiple types of databases with GraphQL, including PostgreSQL and MongoDB, and how to use caching and batching via tools like Dataloader to avoid extra queries to the database. Finally, you’ll learn how to work with mutations, union types, and how to model GraphQL fields using database views. By the end of this course, you’ll know how to build and consume a GraphQL API, and how to do so efficiently.

Free Download Building Multi-Agent Systems Google ADK Masterclass
Published 4/2026
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 3h 16m | Size: 3.38 GB
Build & Deploy Multi-Agent AI Systems with Google ADK, Gemini, Docker & Cloud Run – From Architecture to Production

What you’ll learn
Architect enterprise-grade Multi-Agent AI systems using Google’s Agent Development Kit (ADK).
Master the Core ADK Primitives, including Code Execution, Artifact Management, and Long-Term Memory.
Build "WealthPilot" – a stateful multi-agent AI financial advisor that can analyze stocks, executes Python code and generates PDF reports.
Deploy production-ready AI agents to Google Cloud Run and Vertex AI Agent Engine.
Orchestrate Sequential, Parallel, and Loop agent workflows to solve complex multi-step ReAct problems.
Write custom agent tools to give your AI agents the ability to interact with external APIs and live data.
Requirements
Basic understanding of programming (functions, classes, dictionaries, and variable scoping).
A code editor (like VS Code) and basic familiarity with using a computer terminal/command prompt.
No prior AI engineering, machine learning, or complex math experience is required-we will teach you the framework from the ground up.
Description
Are you tired of "toy" AI tutorials that just build simple, stateless chatbots? Are you ready to architect real, autonomous, enterprise-grade multi-agent systems?
Welcome to the definitive masterclass on the Google Agent Development Kit (ADK).
Most developers stop at basic Gemini API calls, never learning how to give their AI long-term memory, custom tools, or secure code execution environments. This keeps them locked out of the high-paying AI Engineering market.
In this course, we skip the fluff and dive straight into professional architecture.
You will systematically master the 11 Core ADK Primitives. You won’t just learn how to write the code; you will learn why the framework routes tasks the way it does, decoupling your agent’s brain (models) from its memory (Session storage) for infinite cloud scalability.
What We Will Build
We learn by building. Throughout the course, you will engineer WealthPilot, an autonomous AI financial firm. You will build a Root Agent that delegates complex tasks to a specialized team
► Stock Analyst – Uses custom tools to fetch live stock prices.
► Portfolio Manager – Uses the Code Execution sandbox to dynamically write and run Python scripts for compound interest calculations.
► Report Generator – Uses Artifact Management to save physical PDF reports to your hard drive.
The Cloud Deployment
In the final section, we will containerize your multi-agent system using Docker, run it locally, and deploy it natively to Google Cloud Run and Vertex AI Agent Engine for production-ready scale.
By the end of this course, you will have
• A fully working multi-agent AI financial system (WealthPilot)
• Mastery of all 11 ADK primitives and when to use each one
• A Dockerized deployment running on Google Cloud Run, and Agent Engine
• The architecture skills to design your own multi-agent systems for any domain
This course is for you if
• You’re a developer who wants to break into AI Engineering
• You’ve built basic chatbots but want to architect production multi-agent systems
• You want to understand the why behind agent orchestration, not just copy-paste code
If you are a developer ready to move beyond prompt engineering and master true Multi-Agent Orchestration, enroll today and let’s start building.
Who this course is for
Developers looking to transition into high-paying AI Engineering and LLM orchestration roles.
Backend engineers wanting to move beyond simple chatbots and learn how to manage long-term agent memory and state.
Tech leads and software architects evaluating Google ADK for scalable, enterprise-grade cloud applications.
Anyone tired of "toy" AI tutorials who wants to build real, autonomous multi-agent systems.

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Free Download Building Modern Learning Experiences with AI
Released 4/2026
With Brett Kirkpatrick
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Skill Level: Beginner | Genre: eLearning | Language: English + subtitle | Duration: 1h 4m | Size: 198 MB

Learn how to integrate generative AI tools into every phase of the instructional design process to create impactful, efficient, and innovative learning experiences.
Course details
Are you ready to rethink how learning gets built in the AI era? AI isn’t just reshaping how we design learning. It’s redefining what’s possible. In this hands-on, practical course, instructor Brett Kirkpatrick shows you how to integrate AI into every phase of your learning design process, from analysis and design through development, implementation, and evaluation using ADDIE as your foundation. Practice applying techniques, crafting clear AI prompts, rapidly prototyping engaging learner journeys, and developing interactive, impactful content. By the end of this course, you’ll have a structured AI-powered workflow that saves time, enhances creativity, and elevates the performance impact of your learning experiences.
Skills covered
Generative AI for Learning and Development, Artificial Intelligence (AI)
Homepage
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https://www.linkedin.com/learning/building-modern-learning-experiences-with-ai

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Free Download Building Minimal APIs in ASP.NET Core 10
Released 4/2026
By Kevin Dockx
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English + subtitle | Duration: 2h 44m 4s | Size: 541 MB

Building a web API that’s correct, secure, and maintainable requires understanding a broad set of concepts-from routing and parameter binding to validation, authentication, and documentation.
What you’ll learn
Building a web API that’s correct, secure, and maintainable requires understanding a broad set of concepts-from routing and parameter binding to validation, authentication, and documentation.
In this course, Building Minimal APIs in ASP.NET Core 10, you’ll gain the ability to build a production-ready minimal API from scratch.
First, you’ll explore the minimal API project structure, dependency injection, routing, parameter binding, and the DTO pattern.
Next, you’ll discover how to craft correct responses with TypedResults, validate input with built-in DataAnnotations support, and structure your codebase for scalability using handler classes and extension methods.
Finally, you’ll learn how to secure your API with JWT bearer authentication and authorization policies, and document it with the built-in OpenAPI support and an interactive documentation UI.
When you’re finished with this course, you’ll have the skills and knowledge of ASP.NET Core 10 minimal APIs needed to build secure, well-structured, and fully documented web APIs.
Homepage
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https://app.pluralsight.com/ilx/video-courses/building-minimal-apis-asp-dot-net-core-10/course-overview

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Building Intelligent Applications with Microsoft Foundry
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English + subtitle | Duration: 1h 2m | Size: 203 MB​

Build and deploy a Copilot-style, retrieval-augmented app in the new Microsoft Foundry portal. Connect to indexed documents, enable tool-driven follow-ups, and apply evaluation plus responsible AI controls.

What you’ll learn
Building intelligent apps gets harder when your answers must be grounded in real documents, support follow-up actions, and still meet quality and safety expectations. In this course, Building Intelligent Applications with Microsoft Foundry, you’ll gain the ability to design and deploy a Copilot-style, retrieval-augmented application using multiple Azure AI services in the new Microsoft Foundry portal. First, you’ll explore how to ingest documents, extract structure, and validate an index that’s ready for retrieval. Next, you’ll discover how to build retrieval agents and orchestrate them with a multi-step workflow that produces grounded answers. Finally, you’ll learn how to evaluate workflow outputs and apply responsible AI controls like guardrails and blocklists to reduce risk. When you’re finished with this course, you’ll have the skills and knowledge of building RAG-powered app experiences in Microsoft Foundry needed to ship a reliable, production-minded intelligent application that stays grounded, supports follow-ups, and can be monitored and governed responsibly.

Building Document QA Systems with Haystack
.MP4, AVC, 1280×720, 30 fps | English, AAC, 2 Ch | 52m | 152 MB
Instructor: Zachary Bennett​

Build accurate, hallucination-free QA systems over your own documents in under 60 minutes. This fast-track course teaches you modern Haystack: hybrid retrieval, generative and extractive answers, evaluation, and one-click FastAPI deployment.

What you’ll learn

Tired of generic chatbots that hallucinate or return irrelevant answers when querying your company documents, research papers, or knowledge base? In this course, Building Document QA Systems with Haystack, you’ll learn to build fast, accurate, production-ready, and question-answering systems over private document collections.

First, you’ll explore Haystack’s modern pipeline architecture and get a fully working Retrieval-Augmented Generation (RAG) system running in under 10 minutes.

Next, you’ll discover how to correctly process real-world documents and implement state-of-the-art hybrid retrieval (BM25 + dense embeddings) that dramatically outperforms keyword or vector searches alone.

Finally, you’ll learn how to generate trustworthy answers with citations, evaluate accuracy, optimize speed and cost, and ship your system with a simple FastAPI endpoint.

When you’re finished with this course, you’ll have the skills and knowledge of modern Retrieval-Augmented Generation needed to deploy reliable document QA systems for your team, customers, or personal knowledge base.

Homepage

Free Download Building Custom Claude Skills
Released 03/2026
By Jon Friskics
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Intermediate | Genre: eLearning | Language: English + subtitle | Duration: 48m 16s | Size: 158 MB

LLMs are able to respond to user prompts in helpful ways, but they don’t know your preferences or have specific knowledge of what you need unless you tell them.
What you’ll learn
LLMs are able to respond to user prompts in helpful ways, but they don’t know your preferences or have specific knowledge of what you need unless you tell them. Agent Skills are one way to give them that context. In this course, Building Custom Claude Skills, you’ll gain the ability to design and run your own Agent Skills with Claude LLMs. First, you’ll explore how and when to use Skills. Next, you’ll discover how to write Skills. Finally, you’ll learn how to manage and mix Skills you write with other open source Skills. When you’re finished with this course, you’ll have the skills and knowledge of working with Agent Skills in Claude needed to work efficiently with LLM-driven workflows.
Homepage

Pluralsight Skills Player

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Free Download Building an SPA Using Spring Framework 7 and Angular
Released 3/2026
By Mohamed Echout
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English + subtitle | Duration: 1h 28m | Size: 750 MB

Build a real-world single-page app with Spring Framework 7 and Angular. This course will teach you how to design a RESTful Spring Boot 4 backend and connect it to a responsive Angular SPA front end.
What you’ll learn
Several teams have solid Spring backends but still rely on server-rendered pages or ad hoc JavaScript for the UI, which limits responsiveness and maintainability. In this course, Building an SPA Using Spring Framework 7 and Angular, you’ll learn to build a full-stack single-page application that cleanly connects Spring and Angular. First, you’ll explore how to design and implement a RESTful backend using Spring Boot 4, Spring MVC, and Spring Data JPA. Next, you’ll discover how to build an Angular SPA that consumes those APIs using HttpClient, observables, and routed components. Finally, you’ll learn how to connect, secure, test, and deploy the combined application using Boot 4 build plugins and modern front-end build tooling. When you’re finished with this course, you’ll have the skills and knowledge of Spring and Angular SPA development needed to build and ship real-world single-page applications.
Homepage
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https://www.pluralsight.com/courses/building-spa-using-spring-framework-7-angular

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Free Download Build Your First Unity Game in 1 Hour (With AI & Unity MCP)
Published 4/2026
Created by Tabsil Makes Games
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English | Duration: 6 Lectures ( 1h 18m ) | Size: 1 GB

Learn Unity from scratch, build a 2D clicker game & a 3D Doodle Jump-style game using AI tools
What you’ll learn
✓ How to install Unity and set up your IDE
✓ How to ask the AI efficiently
✓ How to use AI tools to build faster and smarter
✓ The mindset behind creating games efficiently
Requirements
● Willingness to learn and experiment with AI
Description
Hey guys, welcome to your fastest path into Game Development with Unity + AI!
If you’ve ever wanted to create your own game but felt overwhelmed.
or thought coding was too complicated.
This course is for you.
In less than 1 hour, you will go from complete beginner to building your first playable games.
What you’ll build
Game 1: 2D Click the Cube (with FREE AI Tools)
• Learn Unity basics step-by-step
• Handle input, score, and simple game logic
• Understand how game scripts actually work
Game 2: 3D Doodle Jump-Style Game (using MCP (Model Context Protocol))
• Discover how to use AI to speed up development
• Connect Unity with Codex MCP
• Generate and improve gameplay using AI assistance
• Build a simple 3D game
Game 3: 2D Doodle Jump-Style Game (using MCP & Claude Code)
• See the difference between free & paid models
• Learn how to create Documentation & Exercises using Claude
• Build a better 2D Game
What you’ll learn
• How to install Unity and set up your IDE
• How to ask AI efficiently
• How to use AI tools to build faster and smarter
• How to use AI to improve your Game Dev skills
• The mindset behind creating games efficiently
Why this course is different
Most courses take hours before you see results.
Here, you build games immediately.
You’ll also discover how AI can
• Save you hours of coding
• Help you understand concepts faster
• Turn ideas into playable games quickly
Who this course is for
■ Complete beginners with zero experience
■ People who want to try Unity without wasting time
■ Aspiring indie developers
■ Anyone curious about combining AI + Game Development
Homepage
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https://www.udemy.com/course/unity-ai-claude-mcp

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