Machine Learning Bootcamp: From Python to Production (Projects & AWS Deployment)

Course Overview

This Machine Learning Bootcamp (2026) is a complete, practical roadmap designed to take you from zero to building real-world AI systems.

Instead of overwhelming theory, this course focuses on learning by doing—you’ll write code, train models, and deploy full machine learning applications to the cloud.

Created for beginners, students, and professionals, this bootcamp teaches not only how ML works—but how it’s actually used in industry.

What You Will Actually Build

• End-to-end ML pipelines using real datasets
• Classification & regression models with proper evaluation
• Data preprocessing workflows (EDA, cleaning, feature engineering)
• Production-ready Python scripts (not just notebooks)
• ML APIs using FastAPI
• Interactive dashboards with Streamlit
• Fully deployed ML apps on AWS EC2

Core Skills You’ll Gain

• Python for Data Science
• Machine Learning algorithms (supervised & unsupervised)
• Statistics, probability, and linear algebra (intuitive approach)
• Model validation & hyperparameter tuning
• Deployment workflows used in real companies
• Turning ML projects into portfolio-ready assets

Training Structure

The course is organized into 18 sections (128 lectures) covering:

1. Python Foundations
2. Math for Machine Learning
3. Data Collection & EDA
4. Data Preprocessing & Feature Engineering
5. Classification Models
6. Regression Models
7. Unsupervised Learning
8. Model Evaluation & Optimization
9. Production Code Conversion
10. API Development (FastAPI)
11. UI Development (Streamlit)
12. Cloud Deployment (AWS EC2)

Duration & Study Format

• Level: Beginner
• Duration: ~66.5 hours
• Study Mode: Online
• Schedule: Self-paced
• Approach: Project-based & hands-on

Who Is This Course For?

• Beginners starting Machine Learning from scratch
• Students preparing for AI / Data Science careers
• Developers wanting to add ML to their skillset
• Professionals transitioning into tech or AI roles

Career Outcomes

By completing this bootcamp, you’ll be able to:

• Build and deploy real ML applications
• Create a strong project portfolio
• Apply for roles such as:
  • Machine Learning Engineer (Junior)
  • Data Scientist (Entry-level)
  • AI Developer
  • Python Developer (ML-focused)