| File Name: | AI fundamentals for Beginners – Learn LLM, Agentic AI, MCP |
| Content Source: | https://www.udemy.com/course/ai-fundamentals-for-beginners-learn-llm-agentic-ai-mcp/ |
| Genre / Category: | Ai Courses |
| File Size : | 2.3 GB |
| Publisher: | Himanshu Rana |
| Updated and Published: | December 25, 2025 |
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 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 is learning, building, teaching, or leading AI initiatives, this course gives you the mental model you need.
DOWNLOAD LINK: AI fundamentals for Beginners – Learn LLM, Agentic AI, MCP
AI_fundamentals_for_Beginners_Learn_LLM_Agentic_AI_MCP.part1.rar – 1000.0 MB
AI_fundamentals_for_Beginners_Learn_LLM_Agentic_AI_MCP.part2.rar – 1000.0 MB
AI_fundamentals_for_Beginners_Learn_LLM_Agentic_AI_MCP.part3.rar – 367.5 MB
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