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NewAI & Machine Learning

Generative AI for Developers

Build AI-powered apps with large language models, embeddings, retrieval and agents.

4.9(4,200 ratings)Rated 4.9 out of 5. Jump to reviews.15,700 students

Created by Karan Verma

  • Last updated Oct 2026
  • English
  • English captions
  • Intermediate level

What you'll learn

  • Call LLM APIs and design effective prompts
  • Build retrieval-augmented generation systems
  • Use embeddings and vector databases
  • Create tool-using AI agents
  • Evaluate and monitor AI features
  • Ship a production AI app

Skills you'll gain

  • LLMs
  • RAG
  • Embeddings
  • Agents
  • Evaluation

Requirements

  • Comfortable with Python or JavaScript
  • Basic understanding of APIs

Who this course is for

  • Software engineers adding AI to products
  • Founders prototyping AI ideas

Description

A hands-on course for developers who want to ship AI features. You will build a retrieval-augmented assistant, a tool-using agent and an evaluation pipeline.

Sections
5
Lessons
140
Hours of video
22
Projects
1

Course curriculum

5 sections 140 lessons 22h total length

  • Video: How LLMs work7m
  • Video: Tokens and context10m
  • Video: Prompt design8m
  • Video: Structured output11m
  • + 18 more lessons in this section

Projects you'll build

Real, portfolio-ready work. Each project is reviewed against a checklist so you know it meets a professional bar.

  1. Project 01

    AI study assistant

    A chatbot that answers questions about your notes with citations.

Certificate

Earn a certificate employers can verify

  • Issued when you finish every lesson and the final project
  • Unique ID with a public verification page
  • Add it to LinkedIn and your resume in one click
See a verified certificate

Your instructor

Portrait of Karan Verma

Karan Verma

AI Engineer, LLM Applications · 7 years in industry

  • 4.9 instructor rating
  • 11.2K reviews
  • 61K students
  • 1 course

Karan builds generative AI products: retrieval systems, agents and evaluation pipelines for enterprise teams.

His courses focus on shipping AI features responsibly, with measurable quality and sensible costs.

  • Generative AI
  • LLMs
  • Python
  • MLOps
  • Deep Learning
View full profile

Learner reviews

4.9

Course rating · 4.2K ratings

Rated 4.9 out of 5 from 4200 ratings.
  • 5stars91%
  • 4stars8%
  • 3stars1%
  • 2stars0%
  • 1star0%

  • Ananya Sharma

    5 out of 5 stars,

    The projects made all the difference. I finally understand how the pieces fit together and I have a portfolio I am proud of.

  • Karthik R.

    5 out of 5 stars,

    Clear explanations, no fluff. Every module ends with something practical, which kept me motivated through the whole course.

  • Meera Iyer

    4 out of 5 stars,

    Great structure and very approachable for beginners. A few lessons could be shorter, but the Q&A support was excellent.

  • Vikram S.

    5 out of 5 stars,

    I used the capstone project in my interviews and landed my first developer role. Worth every rupee.

  • Sana Q.

    5 out of 5 stars,

    Loved the pacing and the quizzes. The downloadable resources are genuinely useful at work.

Showing the 5 most recent of 4.2K reviews.

Frequently asked questions

Intermediate level. Before you start: Comfortable with Python or JavaScript; Basic understanding of APIs. Everything else is taught step by step inside the course.

Still have a question? Visit the Help Center or contact us.

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