Course 2: AI for Developers – From Basics to Building AI Applications
🔹 Duration: 8 Weeks
🔹 Ideal for: Aspiring AI developers, software engineers, and tech professionals.
Week 1: Foundations of AI & Machine Learning
✅ What is AI? Basics of Supervised, Unsupervised, and Reinforcement Learning.
✅ Understanding AI models and how they work.
✅ Introduction to Python for AI.
Week 2: Data Science & AI – The Power of Data
✅ Data collection, preprocessing, and cleaning.
✅ Feature engineering and dataset preparation.
✅ Introduction to Pandas and NumPy for AI.
Week 3: Building AI Models
✅ Introduction to machine learning algorithms (Regression, Classification).
✅ Training your first ML model using Scikit-Learn.
✅ Evaluating and improving model accuracy.
Week 4: Deep Learning & Neural Networks
✅ Introduction to Neural Networks & Deep Learning.
✅ Understanding TensorFlow & PyTorch.
✅ Building a simple deep-learning model.
Week 5: Natural Language Processing (NLP)
✅ How AI understands and processes human language.
✅ Building an AI chatbot using NLP models.
✅ Sentiment analysis and text classification.
Week 6: Computer Vision & Image Recognition
✅ How AI sees images – convolutional neural networks (CNNs).
✅ Face recognition and object detection models.
✅ Hands-on project: Building an AI-powered image classifier.
Week 7: AI in Production – Deploying AI Models
✅ Turning your AI model into an API.
✅ Deploying AI applications with Flask and FastAPI.
✅ AI in cloud computing (Google AI, AWS AI).
Week 8: Capstone Project & Future of AI
✅ Hands-on AI project based on real-world problems.
✅ Best practices for AI ethics, bias reduction, and security.
✅ Career paths in AI – how to land a job or start an AI-based business.
🎯 Final Project: Develop and deploy a working AI application.
