Courses: https://gist.github.com/vivianaranha/0b9ee14dbd80f379b00bd8aca750e45c I have created the following coupons for these courses: MAYFREE01, MAYFREE02, and MAYFREE03. Please use these codes to enroll in these courses as soon as possible. Please note that these coupons may not last longer than 48 hours, so I recommend using them right away. Let me know if you encounter any issues during the process.

Starting May 11th 2026. Free for all our members. Will be available in Classroom. How to enroll: There is no enrollment process. Videos will be available daily - complete the tasks at the end of the week. Once all 12-weeks are completed. Submit the tasks to us and we will send you the certificate. We are offering this and other certificates as a more hands-on approach instead of exams. Announcing our 12-Week AI Certification Program—your complete path from beginner to building production-ready AI systems. In 60 focused sessions, you’ll master Python, machine learning, deep learning, LLMs, and AI agents, while gaining hands-on experience deploying real-world solutions. Designed for ambitious builders, this program transforms you into a confident AI practitioner ready for modern industry challenges. Week 1: Foundations of AI & Computing 1. Introduction to Artificial Intelligence: Scope & Impact 2. Understanding Software Evolution: From Rules to Learning Systems 3. Basics of Computing, Data, and Algorithms 4. Setting Up Your AI Development Environment 5. First AI Demo: Building a Simple Intelligent System Week 2: Python for AI 6. Python Essentials for AI Development 7. Working with Data Structures in Python 8. Functions, Modules, and Code Organization 9. Introduction to NumPy for Numerical Computing 10. Data Handling with Pandas Week 3: Data Fundamentals 11. What is Data? Types, Sources, and Pipelines 12. Data Cleaning and Preprocessing Techniques 13. Exploratory Data Analysis (EDA) 14. Data Visualization for Insights 15. Building Your First Data Pipeline Week 4: Machine Learning Basics 16. Introduction to Machine Learning Concepts 17. Supervised Learning: Regression Models 18. Supervised Learning: Classification Models 19. Model Evaluation and Metrics 20. Hands-on: Build Your First ML Model Week 5: Advanced Machine Learning 21. Feature Engineering Techniques 22. Unsupervised Learning: Clustering 23. Dimensionality Reduction Methods 24. Model Optimization and Hyperparameter Tuning 25. ML Project: End-to-End Pipeline