The AI Engineer Course: Complete AI Engineer Bootcamp (Udemy)

Build job-ready AI Engineer skills—prompt engineering, LLM pipelines, retrieval-augmented generation (RAG), embeddings and vector databases, tool use, evaluation, and deployment. Project-based lessons guide you end-to-end.

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Why become an AI Engineer

  • High-impact roles across product, platforms, and data applications.
  • Modern AI stack from prompting to shipping useful AI features.
  • Hands-on projects that translate directly to portfolio value.
  • Practical guardrails with evaluation and reliability checks.
  • Career leverage as teams embed AI into real workflows.

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What you will learn (highlights)

  • Prompt engineering patterns and evaluation basics
  • LLM pipelines and tool use with structured outputs
  • Embeddings and vector databases for retrieval
  • RAG systems: chunking, retrieval, reranking, grounding
  • Reliability: evaluation loops, guardrails, prompt safety
  • Deployment patterns for simple AI apps and chatbots

The stack you will use

LLMs and function calling
Embeddings and vector stores
RAG orchestration components
Evaluation and guardrail checks
Simple deployment for AI apps

Who this is for

Developers, data practitioners, product engineers, and motivated beginners who want a practical path to shipping reliable AI features and apps.

Results you can expect

Design prompts and evaluate quality reliably
Build RAG pipelines with vector search
Integrate tools and structure model outputs
Ship simple AI apps and monitor performance

Need help selecting the right learning path for your team? Contact EDDS Consulting.

FAQs

Do I need prior coding experience?

Basic scripting helps, but the course introduces concepts progressively and focuses on practical patterns you can follow.

Does it cover RAG and vector databases?

Yes—retrieval pipelines, embeddings, vector search, and grounding are core parts of the learning path.

Will I receive a certificate?

Udemy provides a certificate of completion when you finish the course modules.

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