What you will Learn :

  • Understand how large language models (LLMs) function.

  • Grasp key AI concepts like tokenization, embeddings, and the context window.

  • Know how to write better prompts to get accurate and useful answers from AI LLMs.

  • Explore how AI understands text and images using embeddings and attention mechanisms.

Course curriculum

    1. AI Unplugged: How Computers Learn to Think Like Us

    2. The Magic Behind Deep Learning and Generative AI

    1. How Machines Learn: Exploring the 3 Types of Machine Learning

    1. AI Model Optimization: The Role of Parameters and Hyperparameters

    2. How Large Language Models Work: AI That Understands You

    3. How AI Learns to Write: The Magic of Patterns and Improvisation

    1. Understanding AI: A Practical Guide to Large Language Models

    2. What Makes Words and Images Connect in AI?

    3. Breaking Down Text: The Science of Tokenization

    4. What Happens in an AI’s Memory: The Context Window Explained

    5. How AI Becomes Smarter: Training, Fine-Tuning, and Feedback

    6. RAG: The Secret Sauce Behind Smarter AI Answers

About this course

  • $25.00
  • 12 lessons
  • 1 hour of video content

Instructor

Shubham Pandey

Trainer

Shubham is a senior AI leader and practitioner with 15+ years of experience designing and deploying enterprise-scale AI systems spanning predictive intelligence, large generative models, RAG architectures, and multi-agent frameworks. His work consistently bridges cutting-edge research with real-world, production-grade implementation. With deep hands-on expertise in machine learning, LLM engineering, and applied data science, he has built scalable AI platforms that deliver measurable business outcomes—from forecasting and decision intelligence to generative automation and autonomous workflows. A passionate educator, Shubham teaches Statistics, Machine Learning, Deep Learning, Generative AI, and agentic system design with a strong emphasis on practical, industry-ready application. His training programs delivered to Fortune 500 organizations and global engineering, data, and product teams have upskilled thousands of professionals and accelerated enterprise AI adoption.