Develop Generative AI Applications: Get Started

Develop Generative AI Applications: Get Started

This course is part of multiple programs.

Instructors: Hailey Quach

Access provided by L&T Corp - ATLNext

60,490 already enrolled

3 modules

Gain insight into a topic and learn the fundamentals.

452 reviews

Intermediate level

Recommended experience

Flexible schedule

9 hours to complete

Learn at your own pace

90%

Most learners liked this course

3 modules

Gain insight into a topic and learn the fundamentals.

452 reviews

Intermediate level

Recommended experience

Flexible schedule

9 hours to complete

Learn at your own pace

90%

Most learners liked this course

What you'll learn

Master the basics of GenAI and the LangChain framework, focusing on how prompt engineering and in-context learning to enhance AI interactions
Apply prompt templates, chains, and agents to create flexible and context-aware AI applications using LangChain's modular approach
Develop a GenAI web application with Flask, integrating advanced features such as JSON output parsing for structured AI responses
Evaluate and compare different language models to select the most suitable for specific use cases, ensuring optimal performance and reliability

Skills you'll gain

Tools you'll learn

Details to know

Shareable certificate

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Assessments

7 assignments

Taught in English

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There are 3 modules in this course

Get ready to power up your resume with the GenAI development skills employers need. During this course you’ll explore core prompt engineering strategies—like in-context learning and chain-of-thought—and create and manage robust prompt templates. Plus, you’ll follow best practices to handle common errors and experiment with different LLMs and configurations to strengthen your outputs.

You’ll then dive deeper into LangChain, mastering chains, tools, and agents to create smarter, more responsive applications. Through interactive labs, you’ll build a complete generative AI app using Python that accepts user input and processes it through your backend prompt logic. Plus, you’ll explore web-based interfaces using tools like Flask and Gradio, developing real-time user experiences powered by LLMs. By the end, you’ll have the job-ready skills and demonstrable practical experience employers look for to design and implement full-stack GenAI apps that solve real-world problems. Sound good? Enroll today!

This module introduces the basics of generative AI and provides an overview of the most common tools, frameworks, and models used in AI development. You'll learn fundamental prompt engineering principles that help maximize AI model capabilities through thoughtful input design. Special emphasis is placed on the LangChain framework—its features, benefits, and role in designing and writing AI applications. The module covers practical techniques for creating reusable prompt templates that improve consistency, implementing in-context learning strategies, and optimizing AI responses through iterative prompt refinement.

What's included

9 videos3 readings3 assignments1 app item1 discussion prompt4 plugins

9 videos Total 53 minutes

Course Introduction 2 minutes
RAG and Agentic AI Professional Certificate Overview 6 minutes
Introduction to Generative AI 7 minutes
What are Generative AI Models? 9 minutes
Video: What is NLP (Natural Language Processing)? 10 minutes
Introduction to In-Context Learning 6 minutes
Introduction to LangChain 4 minutes
Advanced Methods of Prompt Engineering 6 minutes
LangChain LCEL Chaining Method 5 minutes

3 readings Total 8 minutes

Course Overview 4 minutes
About this Optional Lesson 2 minutes
Summary and Highlights: Foundations of Generative AI and Prompt Engineering 2 minutes

3 assignments Total 51 minutes

Graded Quiz: Foundations of Generative AI and Prompt Engineering 21 minutes
Practice Quiz: Generative AI Essentials 15 minutes
Practice Quiz: Working with Prompt Engineering and Prompt Templates 15 minutes

1 app item Total 60 minutes

Lab: Master Prompt Engineering and LangChain PromptTemplates 60 minutes

1 discussion prompt Total 10 minutes

[Optional] Discussion Prompt: Meet and Greet 10 minutes

4 plugins Total 45 minutes

Reading: Helpful Tips for Course Completion 5 minutes
Reading: Comprehensive Guide to Generative AI 15 minutes
(Optional) Reading: What is Prompt Engineering, and Why Do We Care? 15 minutes
Cheat Sheet: Foundations of Generative AI and LangChain 10 minutes

In this module, you will explore LangChain and its advanced features to build generative AI applications. You’ll learn about each core component of LangChain, how to incorporate them to create complex workflows and introduce generative AI into your applications.

What's included

3 videos1 reading2 assignments1 app item2 plugins

3 videos Total 18 minutes

LangChain: Core Concepts 7 minutes
LangChain Chains and Agents for Building Applications 7 minutes
(Optional) LangChain LCEL Chaining Method 5 minutes

1 reading Total 2 minutes

Summary and Highlights: Introduction to LangChain in GenAI Applications 2 minutes

2 assignments Total 36 minutes

Graded Quiz: Introduction to LangChain in GenAI applications 21 minutes
Practice Quiz: LangChain Core Components and Advanced Features 15 minutes

1 app item Total 60 minutes

Lab: Build Smarter AI Apps: Empower LLMs with LangChain 60 minutes

2 plugins Total 25 minutes

Reading: Recap: Introduction to LangChain 15 minutes
Cheat Sheet: Introduction to LangChain in GenAI Applications 10 minutes

In this module, you’ll build a Flask web app that uses the power of generative AI using LangChain. You’ll learn how to integrate AI into your application, leverage LangChain’s JsonOutputParser to produce structured outputs, and fine-tune prompt engineering to generate actionable JSON responses. Along the way, you’ll compare and evaluate different language models—including Llama 3, Granite, and Mixtral—to discover which best suits your needs.

What's included

4 videos3 readings2 assignments1 app item4 plugins

4 videos Total 23 minutes

Choose the Right AI Model for Your Use Case 4 minutes
From Idea to AI: Building Applications with Generative AI 7 minutes
Introduction to Flask 7 minutes
Course Wrap-up 5 minutes

3 readings Total 7 minutes

Summary and Highlights: Build a Generative AI Application with LangChain 3 minutes
Congratulations and Next Steps 2 minutes
Team and Acknowledgments 2 minutes

2 assignments Total 31 minutes

Graded Quiz: Build a Generative AI Application with LangChain 21 minutes
Practice Quiz: Application Development Workflow with Generative AI 10 minutes

1 app item Total 60 minutes

Hands-on with GenAI: Choosing the Right Model for Your Application 60 minutes

4 plugins Total 30 minutes

(Optional) Reading: Flask: A Gateway to Web Development in Python 15 minutes
(Optional) Reading: Python with Flask for Large Scale Projects 5 minutes
Cheat Sheet: Web Development Using Flask 5 minutes
Cheat Sheet: Build GenAI Application with LangChain 5 minutes

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Instructors

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(100 ratings)

Hailey Quach

IBM

2 Courses 61,115 learners

Offered by

IBM

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Showing 3 of 452

Reviewed on Aug 25, 2025

Step by Step introduction to concepts with Lab Guide and Summarized Notes and Cheet Sheets to revise the concepts.

Reviewed on Dec 30, 2025

The course itself is good, informative and well structured. However, the labs need to be updated to the most recent version of Langchain.

Reviewed on Dec 27, 2025

A very good course with lots of hands-on knowledge! Only criticism for authors is that some of the AI models used in exercises have become outdated and are not available in the IBM WatsonX repository.

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