What You Will Learn
Program Prerequisites
Program Syllabus
Click on any module to review detailed lesson schedules and topics.
Real-World Capstone Projects
Build enterprise grade platforms to display on your developer resume.
Customer Churn Prediction Model
Problem Statement:Train and evaluate multiple models to predict high-risk accounts using customer metrics.
Outcome:XGBoost model deployed with 88% recall for churn detection.
Tech: Python, Scikit-Learn, XGBoost
Skills: EDA, Feature Engineering, Classification Metrics
Advanced RAG Search Interface
Problem Statement:Build a private documents explorer that parses PDFs, indexes them, and answers complex queries with context citations.
Outcome:Knowledgebase application with verifiable citation sources.
Tech: Python, PyTorch, Pinecone, LlamaIndex
Skills: Embedding Generation, Chunking, Retrieval Reranking
Multi-Agent Research Assistant
Problem Statement:Construct a system where agents collaborate to perform market research and generate PDF reports.
Outcome:API service launching multiple agents executing specific search/write actions.
Tech: LangGraph, GPT-4, FastAPI, Docker
Skills: Agent Orchestration, State Management, Tool Calling
Frequently Asked Questions
What is the math load?
We cover essential Linear Algebra, Probability, and Calculus in the first few weeks, ensuring you understand ML optimizations.
Will I learn PyTorch?
Yes, PyTorch is our primary library for Deep Learning, Transformers, and Natural Language Processing.
Secure Your Program Cohort Seat
Start learning immediately, attend interactive sessions, get mock resume reviews, and query GCP BigQuery/AI sandboxes.