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AI Engineer Instructor-led Training

viaHyperskill
5.0 Rating
Difficulty
Beginner
Cost
$2,499
Format
Instructor Led
Delivery
Online
Time Commitment
10 weeks 15 hrs/week

Summary

The Hyperskill AI Engineer Bootcamp is a 10-week live, online course designed for experienced developers aiming to transition into AI engineering roles. Participants will learn to build production-ready AI systems, focusing on real-world applications like LLM pipelines and agentic AI. The program offers hands-on projects, mentorship, and a supportive community, providing a comprehensive understanding of AI engineering in practical scenarios.

  • Before You Learn / Who This Course Is For
    • Experienced developers with programming backgrounds

    • Ideal for those moving into AI roles

    • Requires prior programming experience

  • What to Expect
    • Live, instructor-led sessions about 15 hours weekly

    • Hands-on workshops and architecture reviews

    • Access to expert community and mentorship

  • What You'll Achieve
    • Build a portfolio for AI Engineer roles

    • Gain skills in AI system design and trade-offs

Certifications covered by this course

No certifications are covered by this course.

Course Reviews

5.0 rating (2 reviews)
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Anonymous

Graduate 2026

April 16, 2026
Effectively and successfully implemented

The bootcamp lasted about 10 weeks, and during that time I was able to carry out and complete many projects. The modules were well-structured, and the sprint-based workflow was well-organized and enjoyable. The frameworks used are closely aligned with current market trends, which makes the program very interesting. I found the variety of products and the focus on operating an AI application to be particularly effective. 

L

Lyubomir Ivanov

Graduate 2025

September 12, 2025
Extremely consistent and widely spanning program

The curriculum is very intense and consistent, with topics building on each other and reinforced through practical exercises that require knowledge of the previous material. The program can be roughly divided into two parts.The first part covers the classical applications of ML and LLMs, such as LLMs with tools, RAGs, data filtering, embeddings into vector databases, LLM evaluation, LLMOps, and more. The second part is more advanced, focusing on model architectures, fine-tuning, and model compression.Recently, there was an AI/IT conference in my country featuring lectures on AI and LLM applications. Looking at the program, I thought: “Come on, I know and have practiced every single topic!”
Besides the strong learning experience, the Hyperskill team also helps you polish your CV and prepare for interviews.Hard study, but a wonderful experience!

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