What you'll learn
Understand core AI and ML concepts and terminology
Implement classical ML algorithms from scratch
Build and train neural networks using TensorFlow
Apply deep learning to computer vision and NLP tasks
Work with pre-trained models and transfer learning
Understand and use generative AI and LLMs
Deploy ML models to production
Stay current with AI developments and best practices
Curriculum
- Python refresher
- NumPy and Pandas
- Matplotlib and visualization
- Jupyter notebooks
- Virtual environments
- Best practices
Who should enroll?
Developers wanting to add AI/ML skills, data professionals looking to advance into ML, students interested in AI careers, and anyone fascinated by intelligent systems.
Prerequisites
Basic Python programming knowledge recommended. Familiarity with basic mathematics (algebra, statistics) helpful.