Applied Machine Learning & AI Cohort (Elite/Pro)

Chuka Uzo

This curriculum is designed to cover end-to-end data engineering processes, from ingestion to visualization and orchestration.

250,000.00 / month for 3 months and a 50,000.00 sign-up fee



Applied Machine Learning & AI Cohort (Elite/Pro)

Duration: 12 Weeks


Weeks 1-2: Python for Machine Learning
– Goals: Gain proficiency in Python fundamentals, data manipulation with Pandas, and data visualization with Matplotlib and Seaborn.
– Milestone: Complete a series of exercises demonstrating mastery of these tools.


Weeks 3-4: Introduction to Machine Learning
– Goals: Understand supervised vs. unsupervised learning, model selection, and evaluation.
– Milestone: Implement basic classification and regression models on sample datasets.


Weeks 5-6: Deep Learning Fundamentals
– Goals: Learn the basics of neural networks, TensorFlow, and PyTorch.
– Milestone: Build a simple neural network model for image classification.


Weeks 7-8: Natural Language Processing (NLP)
– Goals: Introduction to NLP concepts, text preprocessing, and sentiment analysis.
– Milestone: Develop a model to classify text data based on sentiment.


Weeks 9-10: Reinforcement Learning & Advanced Topics
– Goals: Explore advanced AI topics including reinforcement learning and AI ethics.
– Milestone: Create a basic reinforcement learning model in a simulated environment.


Weeks 11-12: Capstone Project
– Goals: Apply all learned skills to a comprehensive project, ideally solving a real-world problem.
– Milestone: Present the project, demonstrating applied machine learning and AI techniques.


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