10 Days 10 Generative AI Projects: Zero to Gen AI Hero
Course Details
Course Curriculum & Description
Master Generative AI through an intensive hands-on project-based course designed for beginners and aspiring AI developers. Instead of focusing only on theory, this course walks learners through ten practical AI applications that demonstrate how modern Generative AI technologies are used in real-world scenarios.
Throughout the course, students build projects using Large Language Models (LLMs), Prompt Engineering, Retrieval-Augmented Generation (RAG), OpenAI APIs, AI Agents, and LangChain. Every day introduces a new project, helping learners gradually develop practical AI engineering skills.
The course emphasizes learning by building. Participants will gain experience creating AI assistants, implementing intelligent workflows, integrating external APIs, and deploying practical GenAI solutions.
By the end of the course, learners will understand the complete workflow of modern AI application development and will possess a portfolio of practical projects suitable for showcasing to employers or clients.
Whether you're a student, developer, entrepreneur, freelancer, or AI enthusiast, this course provides an excellent foundation for building intelligent AI-powered applications.
Course Modules
Module 1
Introduction to the course and Generative AI fundamentals
Module 2
Environment setup and choosing AI models
Module 3
Project 1 – Build your first AI application
Module 4
Project 2 – Prompt Engineering techniques
Module 5
Project 3 – AI chatbot development
Module 6
Project 4 – Retrieval-Augmented Generation (RAG)
Module 7
Project 5 – AI Agents
Module 8
Project 6 – OpenAI API integration
Module 9
Project 7 – LangChain applications
Module 10
Projects 8–10 and final AI portfolio
What You Will Learn
- Build 10 complete Generative AI projects
- Understand Prompt Engineering fundamentals
- Create AI applications using OpenAI APIs
- Build Retrieval-Augmented Generation (RAG) systems
- Develop AI Agents
- Learn LangChain fundamentals
- Deploy AI-powered applications
- Create intelligent chatbots
- Integrate AI into business workflows
- Build a professional AI portfolio
Course Prerequisites
Basic computer knowledge
Internet connection
No prior AI experience required
Basic Python knowledge is helpful but not mandatory
Enthusiasm to build real AI applications
Course Highlights
Project-based learning
10 real-world AI projects
Beginner-friendly lessons
Hands-on coding
Practical assignments
Self-paced learning
Lifetime access
Certificate of Completion
Industry-focused curriculum
Modern Generative AI tools