Complete Machine Learning & AI Bootcamp
Master machine learning algorithms, neural networks, and AI applications with hands-on projects using Python, TensorFlow, and PyTorch.
Created by
Dr. Maya Chen
30-day money-back guarantee
This course includes:
- 42 hours on-demand video
- 186 downloadable resources
- Access on mobile and TV
- Certificate of completion
- Full lifetime access
About This Course
This comprehensive bootcamp takes you from machine learning fundamentals to building production-ready AI systems. You'll work with real datasets and implement algorithms from scratch before using industry-standard frameworks.
We start with the mathematical foundations—linear algebra, calculus, and probability—explained intuitively with visual examples. Then we dive into supervised learning: linear regression, logistic regression, decision trees, random forests, and support vector machines.
The deep learning section covers neural network architectures in depth. You'll build CNNs for image recognition, RNNs and LSTMs for sequence modeling, and transformers for natural language processing. Each concept is reinforced with practical projects.
By the end, you'll have built a portfolio of 15+ projects including an image classifier, sentiment analyzer, recommendation system, and a chatbot. You'll also learn MLOps practices for deploying models to production.
What You'll Learn
- Build and deploy machine learning models in Python
- Understand and implement neural network architectures
- Use TensorFlow and PyTorch for deep learning projects
- Apply ML to real-world problems: NLP, computer vision, recommendations
- Deploy models using Docker, Flask, and cloud platforms
Requirements
- Basic Python programming knowledge
- Understanding of basic algebra and statistics
- Computer with 8GB+ RAM and internet connection
Course Curriculum
- Introduction to Machine Learning Preview18:30
- Setting Up Your ML Environment Preview22:15
- Linear Algebra Essentials45:00
- Probability and Statistics Review38:45
- Linear Regression from Scratch52:30
- Logistic Regression & Classification48:15
- Decision Trees and Random Forests55:00
- Support Vector Machines42:30
- Neural Networks Fundamentals58:00
- Building Your First Neural Network45:30
- Convolutional Neural Networks62:15
- Recurrent Neural Networks54:00
Your Instructor
Dr. Maya Chen
AI Research Scientist & Educator
Dr. Maya Chen holds a PhD in Machine Learning from Stanford and has 12 years of experience in AI research at leading tech companies. She has published over 40 papers and taught 50,000+ students worldwide.
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