IBM
IBM AI Developer Professional Certificate
IBM

IBM AI Developer Professional Certificate

Kickstart your career in artificial intelligence. Build job-ready skills in AI technologies, generative AI models, and programming and learn to build AI-powered chatbots and apps in just 6 months

IBM Skills Network Team
Michelle Saltoun
Sina Nazeri

Instructors: IBM Skills Network Team

130,975 already enrolled

Included withCoursera Plus

Earn a career credential that demonstrates your expertise
4.6

(8,663 reviews)

Beginner level

Recommended experience

Flexible schedule
6 months, 4 hours a week
Learn at your own pace
Build toward a degree
Earn a career credential that demonstrates your expertise
4.6

(8,663 reviews)

Beginner level

Recommended experience

Flexible schedule
6 months, 4 hours a week
Learn at your own pace
Build toward a degree

What you'll learn

  • Job-ready AI skills in just 6 months, plus practical experience and an industry-recognized certification employers are actively looking for

  • The fundamental concepts, key terms, building blocks, and applications of AI, encompassing generative AI

  • How to build generative AI-powered apps and chatbots using various programming frameworks and AI technologies

  • How to use Python and Flask to develop and deploy AI applications on the web

Details to know

Earn a career certificate

Add to your LinkedIn profile

Taught in English

See how employees at top companies are mastering in-demand skills

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Advance your career with in-demand skills

  • Receive professional-level training from IBM
  • Demonstrate your technical proficiency
  • Earn an employer-recognized certificate from IBM
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Get exclusive access to career resources upon completion

  • Resume review

    Improve your resume and LinkedIn with personalized feedback

  • Interview prep

    Practice your skills with interactive tools and mock interviews

  • Career support

    Plan your career move with Coursera's job search guide

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Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV

Share it on social media and in your performance review

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Professional Certificate - 10 course series

Introduction to Software Engineering

Course 114 hours4.7 (1,974 ratings)

What you'll learn

  • Describe software engineering, Software Development Lifecycle (SDLC), and software development tools, technologies and stacks.

  • List different types of programming languages and create basic programming constructs such as loops and conditions using Python. 

  • Outline approaches to application architecture and design, patterns, and deployment architectures. 

  • Summarize the skills required in software engineering and describe the career options it provides.

Skills you'll gain

Category: Python Programming
Category: Application development
Category: Web Application
Category: Flask
Category: Artificial Intelligence (AI)

Introduction to Artificial Intelligence (AI)

Course 213 hours4.7 (15,137 ratings)

What you'll learn

  • Describe what AI is and explain the core concepts related to AI

  • Demonstrate how AI applications and use cases can transform our lives and our work

  • Recognize the potential and impact of AI to transform businesses and careers

  • Describe the issues, limitations, and ethical concerns surrounding AI

Skills you'll gain

Category: Software Engineering
Category: Software Development
Category: Code generation
Category: AI prompts
Category: Generative AI

Generative AI: Introduction and Applications

Course 36 hours4.7 (1,284 ratings)

What you'll learn

  • Describe generative AI and distinguish it from discriminative AI.

  • Describe the capabilities of generative AI and its use cases in the real world.

  • Identify the applications of generative AI in different sectors and industries.

  • Explore common generative AI models and tools for text, code, image, audio, and video generation.

Skills you'll gain

Category: Career
Category: Software Engineer
Category: Coding Challenge
Category: interview Preparation
Category: Full Stack Developer

Generative AI: Prompt Engineering Basics

Course 47 hours4.8 (2,095 ratings)

What you'll learn

  • Explain the concept and relevance of prompt engineering in generative AI models.

  • Apply best practices for creating prompts and explore examples of impactful prompts.

  • Practice common prompt engineering techniques and approaches for writing effective prompts.

  • Explore commonly used tools for prompt engineering to aid with prompt engineering.

Skills you'll gain

Category: Data Science
Category: Data Analysis
Category: Python Programming
Category: Numpy
Category: Pandas

Introduction to HTML, CSS, & JavaScript

Course 510 hours4.4 (259 ratings)

What you'll learn

  • Describe the Web Application Development Ecosystem and terminology like front-end developer, back-end, server-side, and full stack.

  • Identify the developer tools and integrated development environments (IDEs) used by web developers. 

  • Create and structure basic web pages using HTML and style them with CSS. 

  • Develop dynamic web pages with interactive features using JavaScript. 

Skills you'll gain

Category: Voice Assistants
Category: Chatbots
Category: Python Programming

Python for Data Science, AI & Development

Course 625 hours4.6 (38,420 ratings)

What you'll learn

  • Learn Python - the most popular programming language and for Data Science and Software Development.

  • Apply Python programming logic Variables, Data Structures, Branching, Loops, Functions, Objects & Classes.

  • Demonstrate proficiency in using Python libraries such as Pandas & Numpy, and developing code using Jupyter Notebooks.

  • Access and web scrape data using APIs and Python libraries like Beautiful Soup.

Skills you'll gain

Category: Artificial Intelligence (AI)
Category: ChatGPT
Category: Large Language Models (LLM)
Category: Natural Language Generation
Category: Generative AI

Developing AI Applications with Python and Flask

Course 711 hours4.4 (816 ratings)

What you'll learn

  • Describe the steps and processes involved in creating a Python application including the application development lifecycle

  • Create Python modules, run unit tests, and package applications while ensuring the PEP8 coding best practices

  • Explain the features of Flask and deploy applications on the web using the Flask framework

  • Create and deploy an AI-based application onto a web server using IBM Watson AI Libraries and Flask

Skills you'll gain

Category: Software Engineering
Category: Software Architecture
Category: Python Programming
Category: Agile and Scrum
Category: Software Development Lifecycle (SDLC)

Building Generative AI-Powered Applications with Python

Course 813 hours4.8 (65 ratings)

What you'll learn

  • Explain the core concepts of generative AI models, AI technologies, and AI platforms such as IBM watsonx and Hugging Face.

  • Integrate and enhance large language models (LLMs) using RAG technology to infuse intelligence into apps and chatbots.

  • Utilize Python libraries like Flask and Gradio to create web applications that interact with generative AI models.

  • Build generative AI-powered applications and chatbots using generative AI models, Python, and related frameworks.

Skills you'll gain

Category: Generative AI
Category: AI ethics
Category: Natural Language Processing
Category: Machine Learning
Category: Artificial Intelligence

Generative AI: Elevate your Software Development Career

Course 917 hours4.6 (86 ratings)

What you'll learn

  • Discuss how to generate code snippets, scripts, and programs using generative AI models

  • Apply techniques for application design and architecture, bug detection, code refactoring, and program optimization using generative AI

  • Develop innovative solutions using Gen AI-powered tools and models such as ChatGPT, GitHub CoPilot, Google Gemini, and IBM watsonx Code Assistant

  • Explain challenges and ethical considerations associated with using Generative AI for programming and options for mitigating them

Skills you'll gain

Category: Artificial Intelligence (AI)
Category: Prompt Engineering
Category: ChatGPT
Category: prompt patterns
Category: Generative AI

Software Developer Career Guide and Interview Preparation

Course 1011 hours4.7 (175 ratings)

What you'll learn

  • Describe the role of a software engineer and some career path options as well as the prospective opportunities in the field.

  • Explain how to build a foundation for a job search, including researching job listings, writing a resume, and making a portfolio of work.

  • Summarize what a candidate can expect during a typical job interview cycle, different types of interviews, and how to prepare for interviews.

  • Explain how to give an effective interview, including techniques for answering questions and how to make a professional personal presentation.

Skills you'll gain

Category: Web Development
Category: JavaScript
Category: Web
Category: Cascading Style Sheets (CSS)

Instructors

IBM Skills Network Team
IBM
58 Courses981,221 learners
Michelle Saltoun
IBM
2 Courses186,627 learners
Sina Nazeri
IBM
2 Courses9,562 learners

Offered by

IBM

Build toward a degree

When you complete this Professional Certificate, you may be able to have your learning recognized for credit if you are admitted and enroll in one of the following online degree programs.¹

Why people choose Coursera for their career

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Learner since 2018
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Learner since 2020
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."
Larry W.
Learner since 2021
"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."
Chaitanya A.
"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."

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Frequently asked questions

¹Based on Coursera learner outcome survey responses, United States, 2021.