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Applied AI + Career Guidance Program
Introduction & Getting Started
Course Overview
Week 1: Python & Statistics
Day 1: Python Fundamentals
Day 2: OOP Concepts & Functions
Day 3: Course Specific Essentials
Day 4: Statistics Concepts
Day 5: Hands on Statistics & Implementations in Data Analysis
Weekend Mini Project
Week 2: Exploratory Data Analysis
Day 1: The EDA Mindset
Day 2: Data Cleaning & Transformation
Day 3: Data Aggregation & Feature Engineering
Day 4: Data Visualization Essentials
Day 5: It's SQL Day
Weekend Mini Project
Week 3: Machine Learning Foundations
Day 1: Introduction to Supervised Learning
Day 2: Regression Algorithms
Day 3: Classification Fundamentals
Day 4: Ensemble Methods
Day 5: Model Evaluation Metrics & Not-So-Well-Known Concepts
Weekend Mini Project
Week 4: Machine Learning Mastery
Day 1: Unsupervised Learning
Day 2: Dimensionality Reduction
Day 3: Neural Networks 101
Day 4: Diving into CNNs
Day 5: Conceptual Understanding
Weekend Mini Project
Week 5: Diving into Deep Learning
Day 1: Sequential Models
Day 2: LSTMs and GRUs in Action
Day 3: Attention Mechanisms
Day 4: Transformers Explained
Day 5: Group Technical Discussions
Weekend Mini Project
Week 6: NLP & Generative AI
Day 1: NLP Basics
Day 2: Classical NLP Models
Day 3: Getting to know LLMs beyond GPT
Day 4: Retrieval-Augmented Generation (RAG)
Capstone Project Walkthrough
Day 5: Model Evaluation Metrics & Not-So-Well-Known Concepts
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