A Comprehensive Course in Applied Python for Machine Learning & AI
A structured, project-driven course designed for developers and engineers who want to build real-world AI applications. Go from Python fundamentals to production-ready ML pipelines, LLM integrations, and agentic AI systems.
Learning Outcomes
Upon completing this course, students will be able to:
- Write clean, idiomatic Python code for data science and AI workflows
- Build and train machine learning models with scikit-learn and PyTorch
- Work with large language models (LLMs) via APIs such as OpenAI and Anthropic Claude
- Design agentic AI systems with tool use, memory, and multi-step reasoning
- Build REST APIs and deploy AI services to the cloud
- Apply best practices: testing, logging, type hints, and CI/CD for AI projects
Course Overview
Python for AI Developers is a structured, project-driven course designed for software developers, data professionals, and engineers who want to build real-world AI applications using Python. The course takes you from Python fundamentals to production-ready ML pipelines, LLM integrations, and agentic AI systems.
🎯 Goal: Equip developers with practical Python skills to design, build, test, and deploy AI-powered applications.
⏱ Duration: Approximately 40–50 hours of instruction + hands-on projects (self-paced or instructor-led).
🧑💻 Prerequisites: Basic programming experience in any language. No prior Python or ML knowledge required.