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Mastering AI: From ML to Gen AI & Intelligent Agents
Rating: 4.5 out of 5(2 ratings)
17 students

Mastering AI: From ML to Gen AI & Intelligent Agents

Practical Hands-On Guide to Machine Learning, Generative AI, Prompt Engineering, and AI-Powered Automation
Created byAshraf TP Mohammed
Last updated 5/2026
English

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

Course content

13 sections • 44 lectures • 7h 49m total length

  • What is Artificial Intelligence?3:40
  • Overview of AI Applications in Business and Daily Life10:12
  • Setting Up Your AI Learning Environment :OLLAMA4:58

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 using n8n and automate business workflows with Microsoft 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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