AI fundamentals for Beginners - Learn LLM, Agentic AI, MCP
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Unclaimed ProfileEmbark on a comprehensive journey into the future of artificial intelligence with Himanshu Rana's beginner-friendly course, designed to take you from absolute zero to AI-ready. This curriculum focuses on the practical foundations of Generative AI, breaking down complex concepts like Large Language Models (LLMs) without drowning you in heavy mathematics. You will master the art of Prompt Engineering to extract reliable, high-quality outputs from AI systems, and discover how modern models leverage context, memory, and specialized tools. The course dives deep into cutting-edge paradigms, teaching you how to build autonomous AI agents using AWS Bedrock Agent and construct your own Model Context Protocol (MCP) servers to securely bridge models with external data and tools. Additionally, you will explore how to run open-source models locally on your machine and build functional, Retrieval-Augmented Generation (RAG) based chatbots using the Langflow visual framework. Whether you are an aspiring developer, a product manager, or a curious professional, this structured program equips you with the confidence and hands-on capabilities required to succeed in the next wave of technical innovation and automation.
About the creator
Himanshu Rana
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Himanshu Rana is a dedicated educator and technical specialist focused on demystifying cutting-edge artificial intelligence technologies for learners worldwide. With a strong passion for making complex engineering concepts accessible, Himanshu designs structured learning pathways that bridge the gap between abstract AI theory and real-world implementation. His courses, including "AI fundamentals for Beginners - Learn LLM, Agentic AI, MCP," are specifically tailored to help aspiring developers, tech professionals, and curious beginners confidently navigate the rapidly changing AI landscape. Himanshu’s teaching philosophy centers on hands-on application and practical logic. Instead of overwhelming students with dense mathematical jargon, he focuses on how Large…Show more
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Program Overview
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Price may change · updated within 1–2 weeks
Course language
Learning format
Subcategory
Price
Price may change · updated within 1–2 weeks
Course language
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
- Building RAG based chatbots using Langflow
Best For
- Beginners eager to understand the practical mechanics of Generative AI and LLMs
- Developers looking to bridge AI models with external tools using the Model Context Protocol (MCP)
- Product managers and professionals aiming to build autonomous agents and RAG-based chatbots
- Tech enthusiasts who prefer visual, low-code frameworks like Langflow over manual coding
Not For
- Experienced data scientists seeking deep-dive mathematical theory or neural network architecture training
- Professionals looking for advanced machine learning model training or fine-tuning from scratch
- Individuals who have no interest in cloud platforms like AWS or local environment configuration
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