AI Engineering Buildcamp: From RAG to Agents

    4.7/5(15)

    Software Engineering · Online Course

    What do reviewers think about AI Engineering Buildcamp: From RAG to Agents?

    Summary

    4.7

    Created with AI, based on 15 verified reviews

    Alexey has a strong, verifiable teaching track record through DataTalks. Club and the Zoomcamp series, and this course's curriculum is technically substantive covering RAG, agents, MCP, evals, and monitoring with real tooling.

    It demands real coding effort and prerequisites (Python, Docker, Git), so it suits builders, not casual learners. At $1,799, it's a serious investment, value depends on how much you complete and apply.

    Online Course

    Learning format

    English

    Course language

    Official program page

    $1,799

    Price

    Price may change · updated within 1–2 weeks

    What You'll Learn

    • Set up monitoring with Grafana, Logfire, and OpenTelemetry
    • Test and evaluate AI outputs using LLM-as-judge methods
    • Expose and extend agent tools via MCP
    • Use PydanticAI and OpenAI's Agent SDK for agents
    • Add agentic behavior using function calling and tool use
    • Build a working RAG-based AI assistant from scratch

    Best For

    • Data scientists ready to add AI skills
    • Software engineers curious about building LLMs
    • ML engineers wanting production AI experience
    • Coders stuck at the tutorial phase

    Not For

    • Complete beginners with no coding background
    • Non-technical marketers or business roles
    • Those unwilling to commit weekly hours
    • People wanting theory without hands-on building

    FAQ

    Still confused?

    Get a reply from the creator within 24 hours.

    About the creator

    Alexey Grigorev

    View full profile

    Machine Learning · Berlin, Germany

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    Alexey Grigorev
    Featured video — Alexey Grigorev

    AI Engineering Buildcamp: From RAG to Agents

    Alexey Grigorev is the founder of DataTalks.Club and creator of the Zoomcamp series, with 15 years of experience teaching AI and data to 100k+ students. He started his career as a Java developer before moving into data science, later working as a Principal Data Scientist at OLX Group. He's also a Kaggle Master and published author.

    Reviews, Scores & Student Outcomes

    Score history

    Cumulative verified score over the last 6 months

    4.7/5

    2026 average·15 reviews

    Pros and cons

    What verified reviewers flagged most often

    15 students tagged at least one strength

    • Practical content73%
    • Real experience67%
    • Fast results60%
    • Community support47%
    • Clear explanations27%
    • High availability27%

    Is It Worth the Money?

    We ask verified students who took this course whether it was worth the price — their votes help show if the investment paid off.

    100% of verified reviewers said yes.

    How many students finished the course?

    Share of verified reviewers who completed the full program. Green = finished, red = did not finish.

    • Finished100%
    • Did not finish0%

    Ratings & reviews

    Ratings & reviews

    See all reviews
    4.7/5

    15 reviews

    Rating breakdown

    10
    5
    0
    0
    0

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