catalog / AI & Machine Learning
AI Engineering Bootcamp
End-to-end AI product lifecycle: Python & statistics, predictive models, computer vision, RAG pipelines, Agentic AI, and MLOps with Docker & FastAPI.
Batch starts
Wednesday, July 1
Live class
9:30-11:30 PM (Mon, Wed)
Seats left
30
In this course you get:
- 9 modules
- 36 live classes with instructors
- Certificate of completion
- Lifetime access to future updates
About this course
Master the future of technology with a comprehensive, hands-on bootcamp taking you from foundational concepts to deploying scalable AI solutions. Students begin with high-level Python and statistics to understand the 'math of meaning,' then progress through predictive models, computer vision, and advanced Retrieval-Augmented Generation (RAG) pipelines. The final phase focuses on Agentic AI — autonomous systems that use tools and work in teams — culminating in MLOps strategies for cloud deployment using Docker and FastAPI. Build, optimize, and deploy production-grade AI models.
Tools & Technologies
Curriculum
9 modulesLaid out the way the project on disk is laid out — modules are folders, lessons are files.
Who this course is for
Benefits
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