About This File
| File Name: | End-to-end Ai Engineering Bootcamp |
| Content Source: | https://maven.com/swirl-ai/end-to-end-ai-engineering |
| Genre / Category: | Premium courses |
| Decryption Key: |
Spoiler
JIhDhFRJDi2xjLdMgSamlA
|
| Original Price: | $2,000 |
| Language: |
ENGLISH |
For Paid User Without URL Shortener:
| Download : | GO TO SINGLE CLICK DOWNLOAD PAGE |
🚀 Build Real AI Products, Not Just Prototypes
The End-to-End AI Engineering Bootcamp is an 8-week, cohort-based experience designed to turn technical professionals into full-stack AI engineers who can confidently design, build, and deploy production-grade AI systems.
🛠️ What You’ll Build
You’ll develop your own capstone project - a real-world AI application built sprint by sprint, applying each week’s concept to solve a business-relevant use case. By the end, you’ll present it live on Demo Day, with a working repo and deployed app you can showcase to hiring managers, CTOs, or investors.
🧑💻Technologies include:
✔️ LLM APIs (Gemini, Claude, GPT, etc.).
✔️ Vector databases & RAG.
✔️ AI agent libraries (LangChain, LangGraph, ADK).
✔️ Docker, FastAPI, Kubernetes, cloud deployment.
✔️ Observability, evaluation, and performance testing.
✔️ Modern communication protocols (A2A, MCP).
🧠 How It Works
Each week follows a real engineering sprint:
Sprint Lesson (Monday): Self-paced learning with videos, cheatsheets & reference code.
Sprint Review (Tuesday): Live walkthrough with Aurimas + deep Q&A.
Sprint Build Lab (Thursday): Live coding session to implement key sprint features.
Bonus QnA and Feedback sessions.
What you’ll learn
Master end-to-end AI engineering - transform prototypes into production-ready apps with LLMs, RAG & agents in just 8 weeks.
• Design and optimize RAG architectures
• Engineer and orchestrate agentic systems
• Design and deploy multi-agent systems for complex workflows
• Implement structured prompt and context management
• Apply LLMOps for observability and continuous evaluation
• Build and deploy production-grade GenAI applications