Generative AI Skillpath: Zero to Hero in Generative AI

Complete course on Generative AI: Prompting Engineering, Running LLMs locally (Ollama), Building AI apps using LangChain

What you'll learn
- Design and engineer effective prompts using proven frameworks like Chain-of-Thought, Step-Back, and Role prompting.
- Tune and control LLM behavior by adjusting hyperparameters such as temperature, top-p, max tokens, and penalties.
- Run and customize Large Language Models locally using Ollama and integrate them with Python applications.
- Build complete Generative AI workflows using LangChain, including prompt templates, chains, memory, and dynamic routing.
- Develop Retrieval-Augmented Generation (RAG) systems that combine LLMs with vector databases for grounded, factual answers.
- Design user-friendly AI interfaces using Streamlit and explore On-Device AI deployment with Qualcomm AI Hub.

Requirements
- No prior AI or coding experience required—just a curious mindset, basic computer skills, and a PC with internet access.

Description
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 wonderedhow 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 ahands-on, end-to-end journeyinto 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 hyperparameterssuch as temperature, top-p, and penalties to control the tone, creativity, and consistency of AI outputs.

Run powerful LLMs locallyusingOllamaand seamlessly integrate them withPythonfor custom applications.

Build AI-powered workflowsusingLangChain— 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 agentsthat can search the web, use tools, and maintain memory using LangChain’s Agent framework.

Monitor and optimize your applicationswithLangSmithto ensure reliability and traceability.

Create sleek user interfacesfor your AI apps usingStreamlit, and explore the future ofOn-Device AIdeployment on Qualcomm’s platform.

Why take this course now?

Generative AI is reshaping industries—from content creation and analytics to software development and research. But to truly harness its potential, you must go beyond using tools—you mustunderstand, build, and innovatewith them. This course equips you with not just knowledge, but thetechnical fluency and practical experienceto design your own intelligent systems.

Throughout the course, you will:

Design and test prompt frameworks with measurable improvements in AI output quality.

Run and customize open-source LLMs on your PC without relying on cloud APIs.

Build your ownAI chatbots, assistants, and RAG applicationsusing LangChain and Python.

Optimize and deploy models on-device for privacy, speed, and offline use.

Gain real-world project experience that bridges the gap between AI theory and implementation.

This course stands apart with itscomplete lifecycle coverage—fromprompt designtoapplication developmentandon-device deployment. Whether your goal is to become an AI engineer, product innovator, or simply stay ahead in the AI revolution, this course will take youfrom zero to full mastery.

Don’t just use AI—build it, understand it, and lead with it.Enroll today and become a creator in the age of Generative AI.

Who this course is for:
- Beginners and tech enthusiasts who want to understand and build real-world Generative AI applications from scratch.
- Developers, data scientists, and AI learners eager to master prompt engineering, LangChain, and Retrieval-Augmented Generation (RAG).
- AI professionals and product managers aiming to run, customize, and deploy LLMs locally or on-device for performance and privacy.
- Python programmers and innovators looking to create interactive GenAI apps using LangChain, Streamlit, and Qualcomm AI Hub.
- Students and researchers interested in exploring how Large Language Models work under the hood and how to fine-tune their behavior.
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