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Aurimas Griciunas - End-to-End AI Engineering Bootcamp

BA-SHEET-91
$49.99 $2,000.00 -97.5%
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Master end-to-end AI engineering. Transform prototypes into production-ready apps with LLMs, RAG & agents in just 8 weeks.

Description

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 You'll Master

  • LLM APIs (Gemini, Claude, GPT, etc.)
  • Vector databases & RAG
  • AI agent libraries (LangChain, LangGraph)
  • Docker, FastAPI, Kubernetes, cloud deployment
  • Observability, evaluation, and performance testing

How the Bootcamp Works

Each week follows a real engineering sprint: self-paced learning videos, live reviews with Aurimas, and hands-on coding labs to implement features.

What You'll Learn

  • Build a real-world AI application from prototype to production over 8 weeks
  • Learn from Aurimas Griciunas, a LinkedIn Top Voice in AI and ex-CPO of Neptune.ai
  • Master key technologies like LLMs, RAG, AI agents, and cloud deployment
  • Learn through live sessions, hands-on labs, and a supportive cohort community
  • Present your final project on Demo Day to showcase your skills to employers or investors

Frequently Asked Questions

Q: Who is this course for?

A: This course is designed for Software Engineers & Developers who want to transition into AI Engineering, ML Engineers & Data Scientists who want to scale production-grade agentic systems, and Technical Founders & CTOs who want to make AI a core product capability.

Q: What are the prerequisites?

A: Participants should have intermediate-level Python skills, familiarity with basic machine learning concepts, and ideally some experience with data workflows or modeling.

Q: What is the time commitment?

A: You should expect to dedicate approximately 10-12 hours per week, including live sessions, assignments, and self-study.

Q: Will sessions be recorded?

A: Yes, all live sessions will be recorded and available throughout the duration of the course, allowing you to revisit the material at your convenience.

Q: Is there a final project?

A: Yes, you'll work on a capstone project throughout the bootcamp, applying what you've learned to build and deploy an end-to-end, production-ready AI solution.

Sales Page: https://maven.com/swirl-ai/end-to-end-ai-engineering

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Frequently Asked Questions

This course is designed for Software Engineers & Developers who want to transition into AI Engineering, ML Engineers & Data Scientists who want to scale production-grade agentic systems, and Technical Founders & CTOs who want to make AI a core product capability.