7-Day Practical AI Bootcamp: Build AI Apps, RAG, and Agents
Create seven portfolio-ready AI projects with Python, RAG, agents, and Docker
AVCreated by Vivian Aranha, Arjun Vaid
Explore practical AI by building seven hands-on projects using Python, Streamlit, RAG, and agents. Move from foundational concepts to deploying a portfolio-ready knowledge base assistant with Docker. Each section delivers real-world skills you can showcase in your career or projects.
Packt | Aug 2026 | 532 min
What You Will Learn
You will start with the basics of generative AI and prompt design, then move step by step through guided projects. Each section introduces new tools and techniques, from RAG and ChromaDB to multi-agent orchestration. The final project brings everything together with a Dockerized deployment you can add to your portfolio.
Key Features
- Build Python and Streamlit apps powered by LLMs and prompt engineering
- Create RAG pipelines and orchestrate multi-agent workflows for real-world tasks
- Package and deploy a knowledge base assistant using Docker for portfolio use
Target Audience
Ideal for software developers, Python learners, students, and professionals looking to break into AI development. If you have basic Python and command-line skills and want to build real AI apps for your resume or portfolio, this course will help you gain practical experience without needing advanced math or machine learning background.
