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IBM AI Developer Professional Certificate

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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.

Joseph Santarcangelo
Rav Ahuja
Antonio Cangiano

Instructors: Joseph Santarcangelo

249,504 already enrolled

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

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Taught in English

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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

Professional Certificate - 6 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: Retrieval-Augmented Generation
Category: Agentic systems
Category: Responsible AI
Category: Prompt Engineering Tools
Category: Generative AI Agents
Category: LLM Application
Category: Machine Learning Methods
Category: AI literacy
Category: Generative Model Architectures
Category: Risking
Category: Machine Learning Algorithms
Category: Prompt Patterns
Generative AI: Introduction and Applications

Generative AI: Introduction and Applications

Course 2, 8 hours

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: Generative AI
Category: Augmented and Virtual Reality (AR/VR)
Category: Artificial Intelligence and Machine Learning (AI/ML)
Category: AI literacy
Category: Data Synthesis
Category: ChatGPT
Category: Machine Learning
Generative AI: Prompt Engineering Basics

Generative AI: Prompt Engineering Basics

Course 3, 10 hours

What you'll learn

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

  • Apply the best practices for creating prompts.

  • Assess commonly used tools for prompt engineering.

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

Skills you'll gain

Category: Prompt Engineering
Category: Prompt Patterns
Category: Generative AI
Category: ChatGPT
Category: Model Evaluation
Building AI Powered Chatbots Without Programming

Building AI Powered Chatbots Without Programming

Course 4, 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: AI Personalization
Category: Customer Service
Category: IBM Cloud
Category: Context Management
Category: Customer experience improvement
Category: AI Workflows
Category: No-Code Development
Category: Generative AI
Category: WordPress
Category: Application Deployment
Category: Self Service Technologies
Category: Operational Efficiency
Category: Workflow Management
Category: Generative AI Agents
Python for Data Science, AI & Development

Python for Data Science, AI & Development

Course 5, 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 Collection
Category: Data Analysis
Category: Data Import/Export
Category: Scripting
Developing AI Applications with Python and Flask

Developing AI Applications with Python and Flask

Course 6, 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: Unit Testing
Category: Application Programming Interface (API)
Category: AI Integrations
Category: Python Programming
Category: Flask (Web Framework)
Category: Application Deployment
Category: Programming Principles
Category: Integrated Development Environments
Category: Artificial Intelligence
Category: Cloud Applications
Category: Software Testing
Category: IBM Cloud
Category: Web Development
Category: Web Applications
Category: Application Lifecycle Management

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

Joseph Santarcangelo
IBM
37 Courses2,522,500 learners
Rav Ahuja
IBM
49 Courses4,440,990 learners
Antonio Cangiano
IBM
9 Courses741,202 learners

Offered by

IBM

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Learner since 2018
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Learner since 2021
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Frequently asked questions

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