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Machine Learning Bootcamp: Python, Projects & Deployment (Udemy.com)

Learn Python, Math, Machine Learning, Build Real-World Projects & Deploy ML Apps on AWS

Created by: Siddhardhan S

Last updated January 2026

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What you will learn

  • Build machine learning models using Python, covering classification, regression, and unsupervised learning.
  • Understand the math behind machine learning, including linear algebra, statistics, probability, and calculus with clear intuition.
  • Perform data collection, EDA, preprocessing, feature engineering, and model evaluation using real-world datasets.
  • Apply cross-validation, hyperparameter tuning, and model selection to build reliable and optimized ML models.
  • Convert ML notebooks into production-ready Python scripts and serve models using FastAPI and Streamlit.
  • Deploy complete, end-to-end machine learning applications on AWS EC2 with real-world workflows.

How it compares

Against the other 1,182 rated Udemy courses in IT & Software on CourseDuck:

  • Rating4.6 out of 5higher than 67% of them
  • Reviews671#508 of 1,183 by number of reviews
  • Length66.5 hourslonger than 98% of them
  • Last updatedJanuary 2026more recently than 64% of them

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Course Description

This is a complete, hands-on Machine Learning bootcamp designed to take you from Python basics to building and deploying real-world, production-ready ML applications.

You will learn Machine Learning the right way - starting with Python and essential math foundations, working with real datasets, building models, evaluating them correctly, and finally deploying ML systems on AWS.

Unlike theory-heavy courses, this bootcamp focuses on practical understanding, clean code, real projects, and real deployment workflows used in industry.

What you will gain from this course:

  • Strong Python programming skills for Machine Learning

  • Clear intuition for math behind ML including linear algebra, statistics, calculus, and probability

  • Hands-on experience with data collection, EDA, and preprocessing

  • Build and evaluate classification, regression, and unsupervised models

  • Proper model validation, cross-validation, and optimization techniques

  • Multiple real-world Machine Learning projects

  • Convert notebooks into clean, production-style Python scripts

  • Build ML APIs using FastAPI and UIs using Streamlit

  • Deploy complete ML applications on AWS EC2

  • Work on production-grade capstone projects you can showcase in your portfolio

Who this course is for:

  • Beginners starting Machine Learning from scratch

  • Students preparing for ML or data science roles

  • Professionals transitioning into Machine Learning

  • Developers who want to build and deploy real ML applications

No prior Machine Learning, Python or math background is required. Everything is explained step by step with intuition and hands-on examples.

By the end of this bootcamp, you will not just understand Machine Learning —

you will be able to build, deploy, and explain real ML systems with confidence.

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Instructor Details

Siddhardhan S

I am an experienced Generative AI Engineer & Instructor specializing in developing and deploying Machine Learning, Deep Learning, and Generative AI solutions across healthcare, finance, and enterprise applications. I have worked with multiple companies, delivering production-grade AI systems involving autonomous agents, Retrieval-Augmented Generation (RAG), large language models, and scalable cloud deployments on AWS.


Some of the impactful projects I have worked on include:

- AI-powered healthcare prediction models

- Supply chain optimization for global enterprises

- Large-scale LLM applications for code generation & document Q&A

- Graph-RAG based crime network analysis

- Voice-enabled healthcare assistants

- Financial Agentic AI chatbots for real-world use cases & more...

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Reviews

4.6

671 ratings on Udemy

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By Toni on 9/10/2026

I really enjoyed the practical projects. Learning the workflow from data preprocessing to model deployment made the course much more useful.

By Abhishek Singh on 8/2/2026

need to explain breif and clear concept

By vadlamuri ganesh on 6/28/2026

I’ve just finished your Machine Learning course and truly appreciate your teaching style. The explanations were simple, practical, and beginner-friendly. The course gave me a strong understanding of key concepts, and the hands-on learning made it very enjoyable. we’re eagerly looking forward to your Deep Learning Bootcamp course Kindly let us know when it might be available. We’re sure it’s going to be incredible ⚡

By Damilola Adegunte on 6/19/2026

Drawn to the course due to its detailed curriculum. The instructor ensured each phase of the lecture is well explained and documented. My only drawback was the instructor not applying real-world coding ethics, in the sense of him always repeating a certain code whereas we can just create a function to handle that. This is mostly in the chapters that involve plotting. ie: def show_layout(): plt.figure(figsize=(9, 4)) plt.tight_layout() plt.show()

By Saurabh Agrawal on 6/7/2026

I recently completed your Machine Learning course, and I wanted to express my appreciation for the way you teach. The explanations were clear, practical, and easy to follow, especially for beginners. I learned a lot about machine learning concepts and their real-world implementation, and the hands-on approach made the learning experience very engaging. I was excited to see the Deep Learning curriculum as well, but it seems the playlist/course is not yet complete. Do you have any plans to upload a complete Deep Learning course covering topics such as Neural Networks, CNNs, RNNs, Transfer Learning, NLP, and Transformers? I would definitely be interested in enrolling, as I really enjoy your teaching style. Looking forward to your response and future Deep Learning content.

By Chukwu ransom on 5/3/2026

Your course is amazing. I just finished univariate analysis and I must say it is well structured, easy to follow and understand. I can't wait to finish this course and build my portfolio projects. Please do u have similar courses on Sql and deep learning , I'd love to buy as well. Kudos!

By KS on 4/16/2026

This is a huge course. You have to spend a lot of time. Well structured and organised. It covers many ML things. Learning from the example(code), very practical (not just the theory). The lecturer has put a lot of effort into it. Very worthy. I recommend it to those who want to learn ML.

By Patricia KANANA on 3/10/2026

I recently completed this Machine Learning course on Udemy and I highly recommend it. The instructor does an excellent job explaining concepts in a very clear and simple manner. Even complex topics are broken down step by step, making them easy to understand and apply. The explanations are practical, well-structured, and beginner friendly while still being valuable for people who already have some technical background. If you’re thinking about purchasing this course, honestly don’t think twice. It’s well worth it and a great investment if you want to build a solid understanding of machine learning. Highly recommended!

By Rabindranath Mandal on 2/23/2026

Big brother we are waiting for Deep Learning Bootcamp course please making ⚡. Some topics are you skipped in machine learning bootcamp we thought you definitely cover in the Deep Learning Bootcamp ♥️. Love you Big Brother ♥️.

By Abdullahi Usman on 2/16/2026

That's very good and wonderful explanation with relavant examples nice to meet you sir am so happy. keep moving we are enjoying your class

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Overall Score : 92 / 100