IBM

IBM AI Developer Professional Certificate

Save on skills that make you shine with 40% off 3 months of Coursera Plus. Save now

IBM

IBM AI Developer Professional Certificate

Kickstart your career in artificial intelligence.

Learn Python, build a chatbot, explore machine learning and computer vision, and leverage IBM Watson.

Abhishek Gagneja
Joseph Santarcangelo
Rav Ahuja

Instructors: Abhishek Gagneja

241,521 already enrolled

Included with Coursera Plus

Earn a career credential that demonstrates your expertise

from 81,645 reviews of courses in this program

Beginner level
No prior experience required
Flexible schedule
3 months at 10 hours a week
Learn at your own pace
Build toward a degree
Earn a career credential that demonstrates your expertise

from 81,645 reviews of courses in this program

Beginner level
No prior experience required
Flexible schedule
3 months at 10 hours a week
Learn at your own pace
Build toward a degree

What you'll learn

  • Understand the definition of AI, its applications and use cases, and explain terms like machine learning, deep learning, and neural networks 

  • Create AI chatbots and virtual assistants without any programming and deploy them on a website 

  • Build AI-powered solutions using IBM Watson AI services, APIs, and Python with minimal coding 

  • Apply computer vision techniques using Python, OpenCV, & Watson and develop custom image classification models and deploy them to the Cloud 

Details to know

Shareable certificate

Add to your LinkedIn profile

Taught in English

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

 logos of Petrobras, TATA, Danone, Capgemini, P&G and L'Oreal

Advance your career with in-demand skills

  • Receive professional-level training from IBM
  • Demonstrate your technical proficiency
  • Earn an employer-recognized certificate from IBM

Professional Certificate - 4 course series

Introduction to Artificial Intelligence (AI)

Introduction to Artificial Intelligence (AI)

Course 1, 13 hours

What you'll learn

  • Explain the fundamental concepts and applications of AI in various domains.

  • Describe the core principles of machine learning, deep learning, and neural networks, and apply them to real-world scenarios.

  • Analyze the role of generative AI in transforming business operations, identifying opportunities for innovation and process improvement.

  • Design a generative AI solution for an organizational challenge, integrating ethical considerations.

Skills you'll gain

Category: Natural Language Processing
Category: Generative AI
Category: Responsible AI
Category: Robotics
Category: LLM Application
Category: Risk Mitigation
Category: Generative Model Architectures
Category: AI literacy
Building AI Powered Chatbots Without Programming

Building AI Powered Chatbots Without Programming

Course 2, 14 hours

What you'll learn

  • The job-ready chatbot skills businesses need in just 6 weeks! No programming experience required.

  • How to embed an AI powered recommendation system into a chatbot to ensure personalized customer service.

  • How to implement and test complex workflows within chatbot actions to enhance user interactions.

  • Hands-on experience deploying a chatbot in a real-world scenario.

Skills you'll gain

Category: Customer Service
Category: Application Deployment
Category: Customer experience improvement
Category: Generative AI
Category: WordPress
Category: IBM Cloud
Category: AI Integrations
Category: AI Workflows
Category: No-Code Development
Category: Operational Efficiency
Category: Self Service Technologies
Category: Generative AI Agents
Category: Workflow Management
Category: Context Management
Category: LLM Application
Python for Data Science, AI & Development

Python for Data Science, AI & Development

Course 3, 24 hours

What you'll learn

  • Develop a foundational understanding of Python programming by learning basic syntax, data types, expressions, variables, and string operations.

  • Apply Python programming logic using data structures, conditions and branching, loops, functions, exception handling, objects, and classes.

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

  • Access and extract web-based data by working with REST APIs using requests and performing web scraping with BeautifulSoup.

Skills you'll gain

Category: Python Programming
Category: NumPy
Category: Data Analysis
Developing AI Applications with Python and Flask

Developing AI Applications with Python and Flask

Course 4, 12 hours

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

  • Build and deploy web applications using Flask, including routing, error handling, and CRUD operations.

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

Skills you'll gain

Category: Flask (Web Framework)
Category: Web Development
Category: Python Programming
Category: Restful API
Category: Unit Testing
Category: Application Programming Interface (API)
Category: Software Development Life Cycle
Category: AI Integrations
Category: AI literacy
Category: Web Applications
Category: Integrated Development Environments
Category: Cloud Applications
Category: Code Review
Category: IBM Cloud
Category: Server Side
Category: Programming Principles
Category: Artificial Intelligence
Category: Development Testing
Category: Application Deployment

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.

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

Instructors

Abhishek Gagneja
IBM
6 Courses287,188 learners

Offered by

IBM

Why people choose Coursera for their career

Felipe M.

Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."

Jennifer J.

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."

Frequently asked questions

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