Generative AI Skillpath: Zero to Hero in Generative AI

About this course

If you are a developer, data scientist, analyst, researcher, or simply someone passionate about mastering the next wave of artificial intelligence, this course is your complete roadmap. Have you ever wondered how ChatGPT, Claude, or Gemini actually work behind the scenes? Or perhaps you’ve asked yourself, “How can I build my own AI apps or run large language models locally?” This course will take you from curiosity to complete mastery—step by step.

“Generative AI Skillpath: Zero to Hero in Generative AI” is not just another theory-heavy course. It’s a hands-on, end-to-end journey into the world of large language models (LLMs), prompt engineering, LangChain, RAG, AI agents, Streamlit interfaces, and even On-Device AI using Qualcomm AI Hub. You’ll learn how to design, evaluate, and build AI applications from scratch—powered by real-world tools and frameworks that professionals use every day.

In this course, you will:

• Master the art of prompting — from basic prompt crafting to advanced frameworks like Chain-of-Thought, Step-Back, and Role prompting.
• Understand and fine-tune hyperparameters such as temperature, top-p, and penalties to control the tone, creativity, and consistency of AI outputs.
• Run powerful LLMs locally using Ollama and seamlessly integrate them with Python for custom applications.
• Build AI-powered workflows using LangChain — from creating prompt templates and chains to integrating memory and dynamic routing.

Develop complete Retrieval-Augmented Generation (RAG) systems, connecting your AI models to private or local data sources for grounded, factual responses.

Design intelligent agents that can search the web, use tools, and maintain memory using LangChain’s Agent framework.

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