Modern AI Engineering

AI Engineering Bootcamp · Machine learning and deep learning course

Machine Learning and Deep Learning Course for Beginners

A step-by-step machine learning course that starts from zero. You learn how a model learns from data, how to tell a good model from a bad one, and how neural networks and deep learning work underneath.

3 modules · 20 video lessons · 14 interactive labs · a quiz in every lesson

What you will learn

  • Supervised and unsupervised learning, and when to use each
  • Linear regression and logistic regression, with the math explained slowly
  • Loss functions, gradient descent and how training actually works
  • Overfitting, regularisation, and precision versus recall
  • Neural networks: neurons, activation functions, dropout and normalisation
  • Backpropagation, step by step, with numbers you can follow
  • Reinforcement learning and contrastive learning basics
  • Recurrent neural networks, and how PyTorch and TensorFlow work inside

Who this course is for

  • Complete beginners who know a little Python and want a clear first machine learning course.
  • Students who want the concepts behind the formulas before an exam or interview.
  • Software engineers who use ML libraries and want to understand what they do.

Course syllabus: 3 modules

  1. Module 1: AI Engineering Starter Kit (1 lessons). Before going deep, we meet the six words that come up in every AI engineering conversation: LLM, RAG, MCP, Agent, Fine-tuning and Quantization.
  2. Module 2: Learning from Data (9 lessons). In this module, we will learn what Machine Learning is, the different ways a machine can learn, and the basic terms we will keep using in every later module of this AI Engineering Course.
  3. Module 3: Neural Architectures Deep Dive (10 lessons). In this module, we will learn how a neural network actually learns. We will understand the math behind gradient descent and backpropagation step by step, and the techniques that make training stable.

How the course works

  • Every lesson has a video, a written explanation with diagrams, and real code
  • Interactive labs let you change a value and watch the result
  • A 5-question quiz ends each lesson; 4 correct is a pass
  • Run Python in your browser on the Practice page
  • Learn at your own pace and open lessons in any order

Price

ML & Deep Learning: ₹3,599 for one month or ₹6,599 once for lifetime access in India; $41 or $71 elsewhere. Taxes are included. Compare plans.

Frequently asked questions

Is this machine learning course suitable for beginners?

Yes. It assumes basic Python and school-level math. Every idea starts with an intuition and a picture before any formula.

Does the course cover deep learning?

Yes. After the machine learning foundations it covers neural networks, backpropagation, normalisation, dropout and the path to Transformers.

How much math do I need for machine learning?

School-level algebra is enough to start. The course explains the calculus and linear algebra it uses at the point where it needs them.

Is there coding in the course?

Yes. Lessons include real Python code with a walkthrough, and the Practice page runs Python in your browser with nothing to install.

What comes after machine learning and deep learning?

Generative AI: large language models, RAG and agents. Those are in the Generative AI Engineering track, and the Complete AI Engineer track includes both.

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