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

Included with Coursera Plus

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Earn a career credential that demonstrates your expertise
4.6

(10,843 reviews)

Beginner level

Recommended experience

6 months at 4 hours a week
Flexible schedule
Earn a career credential
Share your expertise with employers
Earn a career credential that demonstrates your expertise
4.6

(10,843 reviews)

Beginner level

Recommended experience

6 months at 4 hours a week
Flexible schedule
Earn a career credential
Share your expertise with employers

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

Overview

What’s included

Shareable certificate

Add to your LinkedIn profile

Taught in English
91 practice exercises

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 - 10 course series

What you'll learn

  • Explain the principles of software engineering, the Software Development Life Cycle (SDLC), and software development tools, technologies, and stacks

  • Differentiate between programming language types and apply basic programming constructs such as loops, conditionals, and functions using Python

  • Summarize key software architecture and design approaches, including common architectural and deployment patterns

  • Outline the roles, skills, and career paths in software engineering

Skills you'll gain

Software Development Life Cycle, Software Engineering, Computer Programming, Software Architecture, Front-End Web Development, Back-End Web Development, Programming Principles, Web Development, Python Programming, Software Design, Scrum (Software Development), Agile Methodology, Software Design Patterns, Application Development, Cloud Development, Software Development, and Integrated Development Environments

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

Generative AI, Business Intelligence, Content Creation, Risk Mitigation, Responsible AI, and Natural Language Processing

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

Generative AI, ChatGPT, Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), and Machine Learning

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

Prompt Patterns, Prompt Engineering, ChatGPT, Image Quality, and Generative AI

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, online editors like JSFiddle, and integrated development environments (IDEs) for building and testing web applications.

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

  • Develop dynamic and interactive web pages using JavaScript, including DOM manipulation, form validation, and client-side scripting techniques.

Skills you'll gain

Javascript, Cascading Style Sheets (CSS), Bootstrap (Front-End Framework), Responsive Web Design, Back-End Web Development, Application Programming Interface (API), Scripting, Web Development, and Browser Compatibility

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

Python Programming, Pandas (Python Package), Web Scraping, NumPy, Data Structures, JSON, Data Manipulation, Object Oriented Programming (OOP), Application Programming Interface (API), Data Processing, Automation, Programming Principles, Restful API, Scripting, Data Analysis, Data Import/Export, Jupyter, and Computer Programming

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

Application Deployment, Unit Testing, Flask (Web Framework), Application Programming Interface (API), Restful API, Python Programming, Web Applications, Programming Principles, Software Development Life Cycle, Integrated Development Environments, and Artificial Intelligence

What you'll learn

  • Explain the core concepts of generative AI, including large language models, speech technologies, and platforms such as IBM watsonX, and Hugging Face

  • Build generative AI-powered applications and chatbots using LLMs, retrieval-augmented generation(RAG), and foundational Python frameworks

  • Integrate speech-to-text (STT) and text-to-speech (TTS) technologies to enable voice interfaces in generative AI applications

  • Develop web-based AI applications using Python libraries, such as Flask and Gradio, along with basic front-end tools like HTML, CSS, and JavaScript

Skills you'll gain

Generative AI, Large Language Modeling, Natural Language Processing, Flask (Web Framework), LangChain, Prompt Engineering, Front-End Web Development, Application Development, Python Programming, Image Analysis, Web Applications, LLM Application, and OpenAI

What you'll learn

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

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

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

  • Explain the challenges and ethical considerations associated with using generative AI for programming, along with strategies for mitigating them

Skills you'll gain

Large Language Modeling, CI/CD, Generative AI, DevSecOps, Natural Language Processing, Software Testing, Software Architecture, Application Security, Artificial Intelligence, Prompt Engineering, Software Engineering, Software Development Tools, Responsible AI, Test Automation, and Software Development

What you'll learn

  • Describe the role of a software developer, typical career paths, and emerging opportunities in the field

  • Explain how to prepare for a job search, including researching companies, identifying suitable roles, and developing key

  • Apply strategies for networking and assessing job listings to effectively target and pursue software development positions

  • Demonstrate readiness for each stage of the interview process, including technical challenges, behavioral questions, and post-interview follow-up

Skills you'll gain

Communication, Application Development, Interviewing Skills, Problem Solving, Verbal Communication Skills, Professionalism, Engineering Software, Cloud Computing, Software Development, Software Engineering, DevOps, Relationship Building, and Professional Development

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

IBM Skills Network Team
IBM
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Michelle Saltoun
IBM
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Sina Nazeri
IBM
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Abhishek Gagneja
IBM
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Joseph Santarcangelo
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Rav Ahuja
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Antonio Cangiano
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Upkar Lidder
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Ramesh Sannareddy
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Offered by

IBM

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