AI fundamentals for Beginners - Learn LLM, Agentic AI, MCP

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Free Download AI fundamentals for Beginners - Learn LLM, Agentic AI, MCP
Published 12/2025
Created by Himanshu Rana
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English | Duration: 29 Lectures ( 2h 52m ) | Size: 2.31 GB

From Zero to AI-Ready: Generative AI, LLMs, Prompt Engineering, RAG, MCP & AI Agents
What you'll learn
Fundamentals of Generative AI and how it differs from traditional AI
How Large Language Models (LLMs) work at a high level (without heavy math)
Prompt Engineering techniques to get better, more reliable AI outputs
How AI systems use context, memory, and tools
Building AI agents in AWS Bedrock Agent that can work autonomously
Building own MCP server
Model Context Protocol (MCP) - how models securely connect to tools, data, and services
Using 3rd party MCP servers to connect to external systems
Working with open source model locally on your own machine
Requirements
No prior experience required in AI, ML. We'll get that covered
Basic programming knowledge (Python or JavaScript) can be helpful for hands-on examples
Basic knowledge of AWS cloud and services like EC2, Lambda functions
Curiosity to learn about AI
Description
Artificial Intelligence is no longer just for researchers and data scientists. Tools powered by Generative AI and Large Language Models (LLMs) are rapidly becoming part of everyday work-from writing and research to automation and intelligent agents.This course is a beginner-friendly, hands-on introduction to modern AI, designed to help you understand how today's AI systems work and how to use them effectively-even if you have no prior AI or machine learning background.You'll start with the core foundations of Generative AI, learn how LLMs think and respond, master prompt engineering, and then move into practical, real-world concepts like Retrieval-Augmented Generation (RAG), AI agents, and the Model Context Protocol (MCP)-the emerging standard for connecting models with tools and systems.By the end of the course, you won't just know about AI-you'll know how to work with it.How This Course Will Help You:After completing this course, you will be able to:Clearly explain how modern AI and LLM-based systems workWrite effective prompts and interact confidently with AI toolsUnderstand how AI agents and MCP-powered systems are builtMake informed decisions when using or building AI-powered productsBuild a strong foundation to move into advanced AI, agents, or application developmentWhether your goal is learning, building, teaching, or leading AI initiatives, this course gives you the mental model you need.
Who this course is for
Beginners with no prior AI or machine learning experience
Students curious about Generative AI and modern AI systems
Developers who want to understand LLMs, agents, and MCP concepts clearly
Professionals and entrepreneurs looking to upskill in AI
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AI fundamentals for Beginners - Learn LLM, Agentic AI, MCP
Published 12/2025
Duration: 3h 35m | .MP4 1920x1080 30fps(r) | AAC, 44100Hz, 2ch | 2.31 GB
Genre: eLearning | Language: English​

From Zero to AI-Ready: Generative AI, LLMs, Prompt Engineering, RAG, MCP & AI Agents

What you'll learn
- Fundamentals of Generative AI and how it differs from traditional AI
- How Large Language Models (LLMs) work at a high level (without heavy math)
- Prompt Engineering techniques to get better, more reliable AI outputs
- How AI systems use context, memory, and tools
- Building AI agents in AWS Bedrock Agent that can work autonomously
- Building own MCP server
- Model Context Protocol (MCP) - how models securely connect to tools, data, and services
- Using 3rd party MCP servers to connect to external systems
- Working with open source model locally on your own machine

Requirements
- No prior experience required in AI, ML. We'll get that covered
- Basic programming knowledge (Python, yaml or JavaScript) can be helpful for hands-on examples
- Basic knowledge of AWS cloud and services like EC2, Lambda functions, cloudformation
- Basic knowledge of Git
- Curiosity to learn about AI

Description
Artificial Intelligence is no longer just for researchers and data scientists. Tools powered byGenerative AI and Large Language Models (LLMs)are rapidly becoming part of everyday work-from writing and research to automation and intelligent agents.

This course is abeginner-friendly, hands-on introduction to modern AI, designed to help you understandhow today's AI systems work and how to use them effectively-even if you have no prior AI or machine learning background.

You'll start with thecore foundations of Generative AI, learn how LLMs think and respond, masterprompt engineering, and then move intopractical, real-world conceptslikeRetrieval-Augmented Generation (RAG),AI agents, and theModel Context Protocol (MCP)-the emerging standard for connecting models with tools and systems.

By the end of the course, you won't justknowabout AI-you'll knowhow to work with it.

How This Course Will Help You:

After completing this course, you will be able to:

Clearly explain how modern AI and LLM-based systems work

Write effective prompts and interact confidently with AI tools

Understand how AI agents and MCP-powered systems are built

Make informed decisions when using or building AI-powered products

Build a strong foundation to move into advanced AI, agents, or application development

Whether your goal islearning, building, teaching, or leading AI initiatives, this course gives you the mental model you need.

Who this course is for:
- Beginners with no prior AI or machine learning experience
- Students curious about Generative AI and modern AI systems
- Developers who want to understand LLMs, agents, and MCP concepts clearly
- Professionals and entrepreneurs looking to upskill in AI
Bitte Anmelden oder Registrieren um Links zu sehen.


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