IBM Applied AI Developer

IBM via edX Professional Certificate

Overview

92% of companies plan to increase their AI investments over the next three years (McKinsey). Talented AI developers are in high demand!

This IBM Applied AI Developer Professional Certificate gives aspiring AI developers the job-ready skills to build AI-powered applications, virtual assistants, and chatbots employers are looking for in just 6 months. No prior AI or programming experience required.

An AI developer is a software developer who leverages pre-built AI models, APIs, and frameworks to build AI-powered applications and intelligent agents.

During this program, you’ll master AI basics — exploring machine learning, deep learning, natural language processing (NLP), and neural networks. You’ll dive into generative AI (GenAI), learning about large language models (LLMs) like GPT, DALL-E, Stable Diffusion, and Synthesia, and experiment with tools like IBM Generative AI Classroom, ChatGPT, and Hugging Face. Plus, you’ll discover how to craft effective prompts using techniques like zero-shot and chain-of-thought to ensure impactful outputs.

You’ll also get hands-on building your programming expertise with Python and discover unit testing and packaging Python projects. You’ll develop gen AI apps using Flask, Gradio, and Langchain. You’ll learn how to build chatbots using popular LLMs, RAG technology, and IBM watsonx. You'll use open-source resources and APIs from platforms like IBM watsonx and Hugging Face to build smart applications with minimal coding. Plus, you’ll enhance your web development skills working with HTML, CSS, and Javascript.

So, if you’re looking to catch the eye of employers with a resume packed full of job-ready AI developer skills, enroll today.

Syllabus

Courses under this program:
Course 1: AI for Everyone: Master the Basics

Learn what Artificial Intelligence (AI) is by understanding its applications and key concepts including machine learning, deep learning and neural networks.

Course 2: Introduction to Generative AI

In this course, you will learn about the fundamentals of generative AI. You will explore the capabilities and applications of generative AI across different domains. You will explore the capabilities and features of common generative AI models and tools.

Course 3: Introduction to Prompt Engineering

Learn to craft effective generative AI prompts that produce the results you’re looking for quickly.

Course 4: Introduction to Web Development with HTML5, CSS3, and JavaScript.

Learn the key tools and programming languages to bootstrap your career as a Cloud Developer. Get started with web development using HTML5, CSS3, JavaScript and GitHub.

Course 5: Python Basics for Data Science

This Python course provides a beginner-friendly introduction to Python for Data Science. Practice through lab exercises, and you'll be ready to create your first Python scripts on your own!

Course 6: Python for AI & Development Project

This mini-course introduces you to the process for unit testing Python code, including building and running unit tests and packaging the Python application for distribution.

Course 7: Developing Generative AI Applications with Python

Build in-demand skills in generative AI application development and get hands-on experience creating intelligent chatbots and apps using popular LLMs, RAG technology, and IBM watsonx.

Courses

6 reviews
3 weeks, 4-10 hours a week, 4-10 hours a week
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Please Note: Learners who successfully complete this IBM course can earn a skill badge —a detailed, verifiable and digital credential that profiles the knowledge and skills you’ve acquired in this course. Enroll to learn more, complete the course and claim your badge!

Kickstart your learning of Python for data science, as well as programming in general with this introduction to Python course. This beginner-friendly Python course will quickly take you from zero to programming in Python in a matter of hours and give you a taste of how to start working with data in Python. ~~~~

Upon its completion, you'll be able to write your own Python scripts and perform basic hands-on data analysis using our Jupyter-based lab environment. If you want to learn Python from scratch, this course is for you.

You can start creating your own data science projects and collaborating with other data scientists using IBM Watson Studio. When you sign up, you will receive free access to Watson Studio. Start now and take advantage of this platform and learn the basics of programming, machine learning, and data visualization with this introductory course.
3 reviews
4 weeks, 1-2 hours a week, 1-2 hours a week
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Please Note: Learners who successfully complete this IBM course can earn a skill badge — a detailed, verifiable and digital credential that profiles the knowledge and skills you’ve acquired in this course. Enroll to learn more, complete the course and claim your badge!

In this course, you will learn what AI is and understand its applications and use cases and how it is transforming our lives. You will explore basic AI concepts including machine learning, deep learning, and neural networks as well as use cases and applications of AI. You will be exposed to concerns surrounding AI, including ethics, bias, jobs and the impacts on society.

You will take a glimpse of the future with AI, get advice for starting an AI related career, and wrap up the course by demonstrating AI in action with a mini project.

This AI for Everyone course does not require any programming or computer science expertise and is designed to introduce the basics of AI to anyone whether you have a technical background or not.
0 reviews
2 weeks, 2-4 hours a week, 2-4 hours a week
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Please Note: Learners who successfully complete this IBM course can earn a skill badge — a detailed, verifiable and digital credential that profiles the knowledge and skills you’ve acquired in this course. Enroll to learn more, complete the course and claim your badge!

Want to take the first steps to become a Cloud Application Developer? This self-paced online course will lead you through the programming languages and tools you will need to develop your own Cloud and Web Applications.

Beginning with an explanation of how internet servers, and clients work together to deliver applications to users, this course takes you through the context for application development in the Cloud, introducing front-end, back-end, and full stack development.

You’ll then focus on the languages you need for front-end development, working with HTML5, CSS3, and JavaScript.

Finally, you will discover tools such as Git, GitHub, and GitLab, that help you to store your projects and keep track of changes made to project files (version control) and enable collaboration and continuos deployment.
1 review
1 week, 3-4 hours a week, 3-4 hours a week
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Please Note: Learners who successfully complete this IBM course can earn a skill badge — a detailed, verifiable and digital credential that profiles the knowledge and skills you’ve acquired in this course. Enroll to learn more, complete the course and claim your badge!

In this mini-course you will demonstrate what you’ve learned in the Python Basics* course and apply your Python skills to a real-world project for your final assignment. You will be introduced to unit testing and will develop the skills needed to create functions and unit tests, run the unit tests, and package the files in a standard Python Package.

Hands-on labs provide practical application of the project work you’ll be performing in the Peer-graded Final Assignment.

At the end of this project, you will have the skills to test your Python code, build and run unit tests, and package the Python application for distribution.

PRE-REQUISITE: *Python Basics course from IBM is a pre-requisite for this project course. Please ensure before taking this course you have either completed the Python Basics course from IBM or have equivalent proficiency in working with Python and data.

NOTE: This course is designed for the learner to apply prior Python knowledge. It is not intended to teach you Python and includes minimal instructional content.
0 reviews
3 weeks, 1-3 hours a week, 1-3 hours a week
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As generative AI (GenAI) reshapes how we work and complete our tasks, understanding how to use it effectively is now essential. Writing effective prompts is key to directing GenAI models correctly and refining their output to get the results you’re looking for.

This course enables professionals, executives, students, and AI enthusiasts to master prompt engineering and unlock the extraordinary power of tools like ChatGPT.

You’ll learn practical techniques, structured methods, and best practices for crafting strong prompts. You’ll explore zero-shot and few-shot prompting to boost reliability and output quality. Plus, you’ll look at advanced methods such as the Interview Pattern, Chain-of-Thought, and Tree-of-Thought to produce accurate, context-aware responses.

You’ll get hands-on in labs and projects, gaining practical experience in multimodal prompting, the playoff method, and image generation. You’ll also practice blending text and visuals and evaluating AI outputs for precision and usefulness.

As you learn, podcasts, dialogues, and discussions will link theory to real-world scenarios, and expert insights will highlight strategies for effective prompt use. Then, in a final project and graded assessments, you’ll apply the techniques you’ve learned to reinforce the practical, job-ready skills you have gained.

Enroll today to master prompt engineering and unlock the extraordinary potential that GenAI can bring to your work.
0 reviews
6 weeks, 1-2 hours a week, 1-2 hours a week
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Generative AI modeling is an in-demand skill for AI model development. Employers now expect generative AI skills to be on an AI engineer’s resume. This hands-on course, which is also part of the IBM AI Applied Professional Certificate, will help you build the generative AI skills you need to stand out as an AI developer.

Throughout the course, you’ll get valuable practical experience working on guided projects that provide step-by-step instructions for building generative AI-powered applications. As part of this, you’ll work with Python and related libraries like Flask and Gradio, plus you’ll use frameworks such as Langchain. The course includes learning elements such as videos and readings to help you understand the models, frameworks, and technologies used in the projects.

You’ll also dive into building intelligent chatbots and apps using popular large language models (LLMs) such as GPT3 and Llama 2 hosted on platforms like IBM watsonx and Hugging Face. You'll explore retrieval-augmented generation (RAG) technology to enhance LLMs by incorporating external information beyond their training data. You’ll be able to build voice-enabled chatbots and apps using IBM Watson ® Speech Libraries for Embed.

To get the most out of this course, it is essential that you have a basic understanding of the Python programming language. It is also of benefit if you are familiar with HTML, CSS, and JavaScript, though this is not a requirement. This course is ideal for tech professionals who have some experience with Python and are ready to build the highly sought-after generative AI skills required to be an AI engineer or AI developer. If that’s you… enroll today and build job-ready gen AI skills in 6 weeks.