Descriptions
Maven – End-to-End AI Engineering Bootcamp, Master end-to-end AI engineering: transform prototypes into production-ready applications using large language models (LLMs), retrieval-augmented generation (RAG), and agents. This intensive bootcamp covers engineering, deployment, orchestration, and practical techniques to build robust, scalable AI apps over an 8-week curriculum.
What you’ll learn
- Understand the end-to-end AI engineering lifecycle from prototype to production
- Build and integrate LLM-powered components and implement RAG pipelines
- Design, implement, and coordinate agent-based systems and orchestration
- Deploy, monitor, and scale AI applications following production best practices
- Apply testing, observability, and CI/CD workflows for reliable deployments
Who this course is for
- Machine learning engineers and AI practitioners wanting production skills
- Software engineers and backend developers building AI-enabled products
- Technical product managers and ML platform engineers
- Learners seeking practical, project-based AI engineering experience
Specificatoin of Maven – End-to-End AI Engineering Bootcamp
- Publisher : Maven
- Teacher : Aurimas Griciunas
- Language : English
- Level : All Levels
- Number of Course : 76
- Duration : 66 hours and 43 minutes
Content of Maven – End-to-End AI Engineering Bootcamp
Sprint 0 – Problem Framing, Infrastructure Setup & RAG Foundations
Sprint 1 – Retrieval Quality & Context Engineering
Sprint 2 – Agents & Agentic Systems
Sprint 3 – Moving From Basic To Agentic RAG
Sprint 4 – Multi-Agent Systems
Sprint 5 – Deployment, Optimization and Reliability
Sprint 6 – Agentic AI System Design
Sprint 7 – Final Demo & Capstone Delivery
Pictures
Sample Clip
Installation Guide
Extract the files and watch with your favorite player
Subtitle : Not Available
Quality: 1080p
Changes:
Version 2026/3 compared to 2026/2 has increased by 34 lessons and 30 hours and 24 minutes in duration.
Download Links
Downloadly
Rapidgator
Password File(s): www.downloadly.ir
File size
14.6 GB
