IBM
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.

Abhishek Gagneja
Joseph Santarcangelo
Rav Ahuja

Instructors: Abhishek Gagneja

179,449 already enrolled

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Earn a career credential that demonstrates your expertise
4.6

(10,303 reviews)

Beginner level
No prior experience required
Flexible schedule
3 months, 10 hours a week
Learn at your own pace
Build toward a degree
Earn a career credential that demonstrates your expertise
4.6

(10,303 reviews)

Beginner level
No prior experience required
Flexible schedule
3 months, 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

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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

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: Generative AI
Category: Natural Language Processing
Category: Market Opportunities
Category: ChatGPT

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: ChatGPT
Category: Prompt Engineering
Category: OpenAI
Category: Artificial Intelligence
Category: Image Analysis
Category: Large Language Modeling
Category: Content Creation
Category: Virtual Environment
Category: Program Development

What you'll learn

  • Explain the concept, relevance, and best practices of prompt engineering to guide generative AI models in producing meaningful, accurate outputs.

  • Apply prompt engineering techniques to text prompts, improving the reliability and quality of large language models.

  • Practice prompt engineering techniques and approaches, including interview pattern, chain-of-thought, tree-of-thought, to improve prompt outcomes.

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

Skills you'll gain

Category: Prompt Engineering
Category: IBM Cloud
Category: ChatGPT
Category: Large Language Modeling

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: Workflow Management
Category: Application Deployment
Category: Decision Support Systems
Category: Interaction Design
Category: Customer Service
Category: IBM Cloud
Category: WordPress
Category: Generative AI
Category: Customer experience improvement
Category: Artificial Intelligence
Category: Business Process Automation
Category: Automation
Category: ChatGPT

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: Data Structures
Category: Web Scraping
Category: NumPy
Category: Pandas (Python Package)
Category: Data Analysis
Category: Computer Programming
Category: Jupyter
Category: Data Import/Export
Category: Restful API
Category: Programming Principles
Category: Application Programming Interface (API)
Category: Data Manipulation
Category: File Management
Category: Object Oriented Programming (OOP)

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: Application Programming Interface (API)
Category: Restful API
Category: Flask (Web Framework)
Category: Python Programming
Category: Unit Testing
Category: Application Deployment
Category: Programming Principles
Category: Artificial Intelligence
Category: Style Guides
Category: Integrated Development Environments
Category: Web Applications
Category: IBM Cloud
Category: Software Development Life Cycle

Earn a career certificate

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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 Courses210,624 learners
Joseph Santarcangelo
IBM
35 Courses2,008,245 learners
Rav Ahuja
IBM
56 Courses3,908,726 learners

Offered by

IBM

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Frequently asked questions

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