Olamilekan002/3MTT-Program

As a Data Science trainer at [AI] Academy, a pilot training provider for the 3MTT program, where I coached 3MTT fellows on AI/ML. The 3MTT program is a Nigeria program, organized by the Federal Ministry of Communications, Innovation & Digital Economy under the visionary leadership of Dr. ‘Bosun Tijani. # 3MTT-Program-AI/ML As a Data Science trainer at [AI] Academy, a pilot training provider for the 3MTT program, where I coached 3MTT fellows on AI/ML. The 3MTT program is a Nigeria program, organized by the Federal Ministry of Communications, Innovation & Digital Economy under the visionary leadership of Dr. ‘Bosun Tijani. These are some of the hands-on sessions with the participants ## Week 1: Introduction to AI and Machine Learning - History of AI, what is AI and ML, applications. - Exploration of AI products: ChatGPT, Dall-E, Copilot ## Week 2: Python Programming for AI/ML - Python basics, - Control structures, data structures, strings - Notebook1 ## Week 3: Data Analytics Libraries - Numpy, Pandas, Seaborn - Notebook2 ## Week 4-5: Machine Learning Basics - Supervised vs. unsupervised learning, basic algorithms. - Supervised Learning Basics: Build a decision tree model to predict the price of a house. - Unsupervised Learning Basics: Cluster a dataset of customer transactions using K-means clustering. - Project: A simple linear regression model. - Notebook3 - Supervised Learning Project - Unsupervised Learning Project ## Week 6: Introduction to Azure for AI/ML - Azure overview, setting up an Azure account, basic tools for AI/ML. - Project: A basic AI model using Azure ML Studio. ## Week 7: Deep Learning Fundamentals - Neural networks, backpropagation, and frameworks like TensorFlow/Keras. - Understanding of NLP, CV, RL - Project: A simple neural network for a classification problem. ## Week 8: Natural Language Processing (NLP) - Prompt Engineering, Text processing, sentiment analysis, chatbots. - Project: A basic NLP model to classify text data. ## Week 9: Computer Vision - Simple Image Classification. - Project: A model to classify food from a dataset. ## Week 10: Reinforcement Learning - Basics of reinforcement learning, use cases. ## Deployment - A local deployment of the Supervised ML ## Week 11-12: AI Ethics and Responsible AI / Capstone …