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

TLDR: Enroll Today for a special discount - https://maven.com/the-school-of-ai/days-to-building-ai-systems-agents?promoCode=NINENINENINE ——————————— Want to stop just “using AI” and start building real AI systems? Most people today know how to prompt ChatGPT — but very few understand how modern AI apps actually work under the hood. The real value is in engineering end-to-end solutions that solve real problems, not just generating text. That’s exactly what this course is designed to help you do. —————————————— 14 Days to Building AI Systems & Agents This hands-on, portfolio-driven program teaches you how to design, build, deploy, and launch real AI-powered applications — including systems with memory, reasoning, tool execution, and agents that can take action. You’ll learn how modern AI development actually works, beyond prompts and demos. What You’ll Learn - AI System Architecture: Map real-world problems into structured AI solutions — with UI, backend, workflows, and data handling. - LLM API Integration: Call and tune LLMs using Python and handle outputs reliably. - Prompt Engineering & Structured Outputs: Force structured JSON responses and validate them in code. - RAG & Memory: Build retrieval-augmented systems and persistent session memory into your apps. - AI Agents: Construct agents that can execute tasks, use tools, and automate workflows. - Deployment & Portfolio Projects: Launch your app live, write professional documentation, and create a demo that shows real results. Who This Is For This is ideal if you’re a: ✔ Developer who wants to go beyond simple scripting ✔ Engineer ready to integrate LLMs, memory, and automation ✔ Product manager or tech professional who wants to understand how real AI systems are built ✔ Career switcher building a serious AI portfolio Why This Matters AI isn’t just about prompts — it’s about systems. This course fills the gap that so many other programs overlook: structure, integration, deployment, and real results. By the end of 14 days, you’ll ship your own live AI application and have a showcase project you can share with employers or clients.

Which matters more in a real AI system: the model or the data—and why?

If you had to explain what you do with AI to a 5-year-old… what would you say?

What’s one task you never want to do manually again because of AI? Make it funny please. Haha or try