Practical Hands-On Guide to Machine Learning, Generative AI, Prompt Engineering, and AI-Powered Automation

What you'll learn
- Understand the core concepts of Artificial Intelligence, Machine Learning, and Deep Learning and how they interconnect.
- Explore the world of Generative AI, including Large Language Models (LLMs), prompt engineering, and fine-tuning techniques
- Build and train machine learning models using Python , RAG , Vector Embeddings , OLLAMA
- Fine-Tuning in Prompt Engineering

Requirements
- Interest in Artificial Intelligence, Data Science, or Automation and a willingness to explore how AI systems think and learn.
- Basic understanding of computer science or programming concepts (any language such as Python, Java, or C).
- Familiarity with mathematics and statistics — especially linear algebra

Description
Unlock the full potential of Artificial Intelligence with this comprehensive, hands-on course designed for beginners and professionals alike."Mastering AI: From ML to Gen AI & Intelligent Agents"takes you on a journey from the fundamentals of Machine Learning (ML) to advanced Generative AI, prompt engineering, and the development of intelligent AI agents.

In this course, you will:

Understand the core concepts of AI and different types of Machine Learning—supervised, unsupervised, and reinforcement learning—along with practical examples and algorithms.

Explore Generative AI tools like ChatGPT, n8n, Azure AI foundry, Google AI Studio, Runway, and Ideogram for creating text, images, and videos.

Master prompt engineering techniques to get precise and context-aware results from LLMs.

Learn to visualize ideas with AI-powered mind maps and presentation tools like Napkin.

Convert text to speech with Eleven Labs and build AI-assisted websites using Lovable.

Explore a comprehensive directory of AI tools for different categories with practical use cases.

Build professional AI agents usingn8nand automate business workflows withMicrosoft Copilot Studio.

Understand Retrieval-Augmented Generation (RAG), vector embeddings, and vector databases, and implement RAG in Python projects to enhance AI agent intelligence.

Apply everything in a hands-on capstone project to build a fully functional AI agent.

By the end of this course, you will have the knowledge and practical experience to create intelligent AI solutions, automate processes, and leverage cutting-edge AI tools for personal, professional, and business applications.

Whether you are a student, developer, or professional looking to upskill, this course equips you with the skills to confidently harness the power of AI and become a creator of intelligent AI solutions.

Who this course is for:
- IT professionals, data analysts, and software engineers looking to upskill and transition into AI-focused roles.
- Business leaders, consultants, and entrepreneurs who want to understand how AI and intelligent agents can transform their organizations
- Anyone curious about AI — from how ChatGPT and similar models work to how intelligent systems make decisions and automate tasks.
- Students and beginners who want to build a strong foundation in Artificial Intelligence, Machine Learning, and Generative AI.
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