Build secure, scalable, and production-ready AI solutions for enterprise. Master LLMs, RAG, fine-tuning, agents, and deploy enterprise-grade AI systems.
This is not a theoretical research course. It is a practical engineering course. By the end, you will not just understand how Transformers work; you will have deployed secure, private, and scalable AI agents for business use cases.
Enterprise-focused training for building production-ready, secure, and scalable AI solutions.
Learn OWASP Top 10 for LLMs, guardrails, PII redaction, and build secure AI systems that meet enterprise compliance requirements.
Build scalable microservices, implement LLMOps, deploy to cloud with CI/CD, and create systems that handle enterprise workloads.
Build 4+ milestone projects including Policy Bot, Brand Voice fine-tuning, Automated Analyst agent, and a complete enterprise capstone.
Move beyond expensive APIs. Learn to run Llama, Mistral, and other open-source models locally with quantization and fine-tuning.
Master function calling, tool use, multi-agent systems, and build autonomous agents that can plan, act, and collaborate.
Learn business case development, ROI calculation, legal compliance (EU AI Act), and how to sell AI strategy, not just code.
From foundations to enterprise capstone: Build secure, scalable AI systems.
Master Python for AI, data handling, APIs, and cloud deployment basics.
Build applications using Large Language Models and RAG systems.
Move to owned, private, and fine-tuned models for enterprise use.
Build systems that can take action, plan, and use tools.
Build an end-to-end enterprise AI solution.
For those who want to sell the strategy, not just write the code.
Basic familiarity with any programming language (Logic, Loops, Functions)
High-school level Algebra and Statistics
Laptop with internet (NVIDIA GPU is a bonus, cloud options provided)
Flexible options to fit your schedule and learning style.
Join the next cohort and build secure, scalable AI systems in 20 weeks.