DeepLearning.AI · on Coursera

Generative AI for Software Development Specialization

4.6(3,200) on Coursera·85K enrolled
Intermediate 40 hours English SpecializationFREE
Our recommendation
A DeepLearning.AI Coursera specialization built for engineers who want to actually ship LLM-powered features, not just understand the concepts. Across several courses you work through practical generative-AI software development. Hands-on and current, for developers ready to build. Using model APIs is billed separately.

Good for: Engineers who want to build and ship LLM-powered features.

Less suitable if: You cannot code or want conceptual-only content.

Skills you'll gain

Generative AILLM applicationsSoftware developmentPrompt integrationAI engineeringAPIs

Is this course right for you?

A good fit if you…

You are a software engineer
You want to ship LLM features
You want hands-on, current content

Consider something else if you…

You cannot code
You want concepts only
You already build LLM apps

Requirements: Programming experience; model API access (usage billed separately).

Realistic time: Several weeks across multiple courses.

About this course

This specialization picks up where general GenAI awareness courses leave off — it's built for engineers who want to actually ship LLM-powered features, not just understand the concepts. Across several courses, you work through prompt engineering patterns, retrieval-augmented generation (RAG), fine-tuning open models, evaluation strategies, and the engineering tradeoffs of deploying generative AI in production software.

What you'll learn

Design effective prompts for production LLM applications
Build retrieval-augmented generation (RAG) pipelines
Fine-tune open-source language models for specific tasks
Evaluate and benchmark generative AI application quality
Understand the cost, latency, and reliability tradeoffs of LLM deployment
Ship a complete GenAI-powered application end to end

This course includes

40h
On-demand video
Yes
Certificate
Yes
Mobile access
English
Language

What it costs

You can audit the courses free on Coursera. A certificate needs a Coursera subscription (about $49/month) or Coursera Plus, with financial aid available. Using model APIs to build and test is billed by usage by the provider, separate from Coursera.

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Prices & availability can change — confirm on the provider's site. We're not affiliated with any single provider.

Is the certificate recognised?

A DeepLearning.AI certificate on Coursera is a credible learning record. It is a course certificate rather than a professional qualification or degree.

Instructor

DT
DeepLearning.AI Team
Coursera instructor
85K+ learners9 courses4.6 instructor rating

Taught by DeepLearning.AI's instructor team, the organization founded by Andrew Ng that has trained millions of learners through its Deep Learning and Machine Learning Specializations on Coursera.

About this provider

CO
Coursera
University-backed online learning platform. 142M learners, 7,000+ courses from 325+ institutions.
Visit Coursera

Frequently asked questions

Software engineers who want to build and ship LLM-powered features, not just understand the concepts.
Yes — you can audit the courses free on Coursera; the certificate needs a subscription or Coursera Plus.
Using model APIs to build and test is billed by usage by the provider, separate from Coursera.
Yes — it is built for engineers and assumes programming experience.
Several weeks across multiple courses.
Free
to audit
Enroll now