AI Engineering: Building and Deploying AI Applications Series
The AI Engineering: Building and Deploying AI Applications Series is a multi-course curated learning plan for software developers, backend engineers, and data scientists who want to apply AI in their current role. It covers implementing retrieval-augmented generation (RAG), building multi-agent systems, evaluating large language models (LLMs), and deploying generative AI systems.
With content from DeepLearning.AI, IBM, Vanderbilt University,
Included with Learn more
What you’ll learn
Learn machine learning foundations, how large language models (LLMs) work, and how to prompt, fine-tune, and build applications with them.
Ground LLMs in real data using retrieval-augmented generation (RAG), vector databases, and reliable data pipelines.
Build multi-agent systems using frameworks like LangChain, LangGraph, CrewAI, and AutoGen.
Evaluate LLM and agent quality with rigorous testing, tracing, and observability.
Deploy, monitor, and operate production GenAI systems using MLOps and LLMOps practices.
Skills you'll gain
With course certificates from
Learning plan
3 weeks
3 weeks
3 weeks
2 weeks
2 weeks
10 weeks
By the end of this plan, you'll be ready to achieve the goals you set.
You'll also earn 29 course certificates to add to your LinkedIn profile or resume — proof of your new skills.
Why people choose Coursera for their career
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