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
- No programming experience required
- Python installation recommended
- Google Colab or Jupyter Notebook access
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 WordPress Theme Development
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Understanding WordPress Themes
3:50 -
Setting Up the Development Environment
6:30 -
Creating Your First Theme
6:04
02 Building the Theme Structure
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WordPress Template Hierarchy
5:30 -
Splitting Templates into Parts
7:36 -
Working with The Loop
5:05
03 Adding Theme Features
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Registering Menus and Theme Support
2:30 -
Registering Widget Areas
4:30 -
Enqueuing CSS and JavaScript
6:45
04 Customizing Your Theme
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WordPress Customizer API
7:25 -
Theme Options Framework
5:55 -
Custom Post Types and Custom Fields
8:40
05 Best Practices and Theme Distribution
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Security and Coding Standards
4:48 -
Performance Optimization
5:20 -
Preparing for Theme Release
9:25
Meet your instructor
Darrell Steward
Data ScientistEmmielar 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
“We improved marketing performance significantly using AI-driven recommendations that optimize campaigns, consistent results.”


Edunex Admin
Edward Collins
Devoin Lanee
Marvin McKinney
Dianne Russell