AI is moving fast. The best way to keep up is not by just watching videos. It is by building real projects. School of AI is launching 10 FREE AI Certifications to help you learn practical AI skills through video lessons, hands-on labs, and portfolio-ready projects. No exams. No tests. No passive certificates. To earn your certificate, you will complete projects, upload them to GitHub, and submit your work for review. This is not a certificate of completion. This is a Certificate of Excellence — proof that you built, practiced, and earned it. ------------------------ The 10 FREE Certifications 1. AI Engineering and Intelligent Systems 12 Weeks | Starts May 11 Build a strong foundation in AI, Python, intelligent systems, and real-world AI engineering. 2. Generative AI Foundations 3 Weeks | Starts May 11 Learn how GenAI works and how to use it for content, workflows, research, and productivity. 3. AI Agents & Agentic Workflows 4 Weeks | Starts May 18 Build AI agents that plan, use tools, follow workflows, and complete real tasks. 4. Prompt Engineering 2 Weeks | Starts May 18 Master prompts that produce better, clearer, and more useful AI outputs. 5. No-Code AI Automation 2 Weeks | Starts May 18 Create AI-powered automations without needing to write complex code. 6. AI for Marketers 2 Weeks | Starts May 18 Use AI for campaigns, content, SEO, customer research, and marketing workflows. 7. AI for Business Productivity 2 Weeks | Starts May 25 Use AI to improve meetings, documents, research, reporting, and daily work. 8. AI for Cybersecurity 3 Weeks | Starts May 25 Explore how AI supports threat detection, defense, security analysis, and response. 9. AI for Project Managers 2 Weeks | Starts May 25 Use AI for planning, risk tracking, reporting, documentation, and project delivery. 10. Responsible AI & Governance 3 Weeks | Starts May 25 Learn how to build and manage AI responsibly with ethics, risk, oversight, and governance. ------------------------ How You Earn the Certificate

AI leadership is the future. Not just using tools, but driving strategy and business impact. This program teaches you how to lead AI initiatives, implement governance frameworks, manage risk, and deliver real ROI. 👉 Designed for professionals ready to step into executive-level AI roles Enroll now and become a Chief AI Officer 🚀 https://www.udemy.com/course/certified-chief-ai-officer-caio-build-ai-strategy-lead/?referralCode=E2B7BD582F9B2CC56DB7

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