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Complete Deep learning bootcamp zero to hero.
This comprehensive program takes you from the fundamentals of machine learning to building and deploying production-grade AI systems.…
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
-
Understanding WordPress Themes
6:30 -
Setting Up the Development Environment
6:30 -
Creating Your First Theme
8:20
02 Building the Theme Structure
-
WordPress Template Hierarchy
4:6 -
Splitting Templates into Parts
7:47 -
Working with The Loop
5:30
03 Adding Theme Features
-
Registering Menus and Theme Support
1:3:29 -
Registering Widget Areas
3:50 -
Enqueuing CSS and JavaScript
2:50
04 Customizing Your Theme
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WordPress Customizer API
10:20 -
Theme Options Framework
3:10 -
Custom Post Types and Custom Fields
4:55
05 Best Practices and Theme Distribution
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Security and Coding Standards
3:48 -
Performance Optimization
5:50 -
Preparing for Theme Release
10:59
Meet your instructor
Russell Jenny
Web developerDevoin is a Lead AI Engineer with over a decade building machine learning systems at scale — from recommendation engines serving millions to production LLM...
Student reviews
“Our team reduced manual reporting time drastically and now focuses on strategy instead of repetitive data tasks thanks to AI insights.”
Frequently asked questions
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