ENDS SATURDAY • Get 50%
Off annual Pro membershipComplete AI & Machine learning course for beginner.
Build real-world AI systems from neural networks to deployment. Master Python, TensorFlow and MLOps through hands-on projects designed.
Learning goals
- Build and train neural networks from scratch in Python.
- Master TensorFlow, PyTorch and scikit-learn workflows.
- Fine-tune large language models and generative AI
- Build a career-ready portfolio of 8 deployed projects.
- Deploy machine learning models to production with MLOps
- Work with real datasets: cleaning, features and pipelines
- Evaluate models with the right metrics and validation
- Understand the math behind gradient descent and backprop
Skills you'll gain
Course description
This comprehensive program takes you from the fundamentals of machine learning to building and deploying production-grade AI systems. You'll write real code from day one — training models, tuning hyperparameters and shipping them to the cloud.
Through 12 modules and 8 capstone projects, you'll develop the intuition and practical skills employers look for. By the end you'll have a portfolio of deployed AI applications and a recognized certificate to prove it.
Requirements
- Basic programming knowledge (any language) is helpful but not required
- A computer with internet access — no expensive GPU needed
- Curiosity and willingness to build hands-on projects
Intended audience
- Aspiring ML engineers who want a structured, project-based path
- Developers looking to add AI skills to their toolkit
- Data analysts moving into machine learning roles
- Students and career-changers building a portfolio
Course curriculum
01 Foundations of Machine Learning
-
Welcome & how to get the most from this course
4:20 -
What is machine learning, really?
Preview9:15 -
Setting up your Python environment
11:40 -
Your first model in 20 lines of code
14:05 -
Module quiz: core concepts
8:00
02 Data Wrangling & Feature Engineering
-
Your first model in 20 lines of code
14:05 -
Your first model in 20 lines of code
14:05 -
Module quiz: core concepts
8:00
03 Neural Networks Deep Dive
-
Your first model in 20 lines of code
14:05 -
Your first model in 20 lines of code
14:05 -
Module quiz: core concepts
8:00
04 Deploying Models to Production
-
Your first model in 20 lines of code
14:05 -
Your first model in 20 lines of code
14:05 -
Module quiz: core concepts
8:00
05 Generative AI & Capstone
-
Your first model in 20 lines of code
14:05 -
Your first model in 20 lines of code
14:05 -
Module quiz: core concepts
8:00
Meet your instructor
Emmielar Josan
Lead AI Engineer & EducatorEmmielar is a Lead AI Engineer with over a decade building machine learning systems at scale. He has trained 140,000+ students worldwide and specializes in making complex.
Student reviews
“The platform transformed complex analytics into simple actions, helping our team make faster, smarter deep technical expertise daily.”
“Our team reduced manual reporting time drastically and now focuses on strategy instead of repetitive data tasks thanks to AI insights.”
“We improved marketing performance significantly using AI-driven recommendations that optimize campaigns, consistent results.”
“The platform transformed complex analytics into simple actions, helping our team make faster, smarter deep technical expertise daily.”
Frequently asked questions
Related Courses.
Professional full-stack web development course.
Emmielar Josan
Business growth and strategy masterclass 2026.
Ronald Richards
