Train for the Jobs That Actually Exist
Companies need AI engineers yesterday. Your CS degree doesn't cover what they're hiring for. We do.
The Gap We Fill
Standard CS Curriculum
Data structures, algorithms, maybe some outdated ML course.
What Companies Need
Engineers who can build with LLMs, deploy AI systems, and ship products.
That gap? That's where students get stuck between graduation and getting hired. We fix that.
Our Program
Generative AI
- •Large Language Models (understanding, fine-tuning, deployment)
- •Prompt engineering and chain-of-thought
- •RAG (Retrieval-Augmented Generation) systems
- •Vector databases and embeddings
- •API integration and cost optimization
Agentic AI
- •Multi-agent systems
- •LangChain and LangGraph
- •Tool use and function calling
- •Memory and state management
- •Real-time AI applications
Deep Learning & Computer Vision
- •Neural networks from scratch (and with frameworks)
- •CNN architectures for vision tasks
- •Transfer learning and model optimization
- •Deployment pipelines
- •Production monitoring
AI Tools Engineering
- •Building AI-powered products
- •System design for AI applications
- •MLOps basics
- •Version control for ML
- •Documentation and testing
What You Actually Build
Not toy projects. Real applications you can show employers:
Production RAG system for document Q&A
AI agent that automates workflows
Computer vision app for real use case
LLM-powered SaaS product
Fine-tuned model for specific domain
Every project includes: code, documentation, deployment, and presentation.
Outcomes
Internship placement support (we connect you with hiring partners)
Portfolio on GitHub that proves you can ship
Interview prep for AI engineering roles
Industry mentorship from working AI engineers
Capstone project with real clients
Who This Is For
- •CS/IT students looking to specialize in AI
- •Engineering students wanting to break into AI
- •Recent graduates upskilling for AI roles
- •Career switchers from other tech fields
Time Commitment
- •6-month intensive program
- •15-20 hours per week
- •Mix of live sessions, self-paced learning, and project work
- •Cohort-based with peer learning
Ready to Launch Your AI Career?
Join the next cohort and build the skills companies are hiring for.