IBM AI Developer

IBM via Coursera Professional Certificate

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Provider

Coursera Professional Certificate
Pricing

Paid Course
Languages

English
Certificate

Certificate Available
Duration & workload

26 weeks, 3 hours a week

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Overview

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As Artificial intelligence (AI) and generative AI revolutionize our world, the demand for AI Software Developers with the right cutting-edge skills is soaring. This IBM AI Developer Professional Certificate will equip you with sought-after expertize in building AI-powered chatbots and apps and enable you to launch your AI career in just 6 months. No prior AI or programming experience required. AI Developers are prized software engineers who design, develop, and implement AI and genAI powered apps And virtual assistants. They specialize in applying their programming expertize and integrating pre-built AI models and APIs to create intelligent software and solutions. During this self-paced Professional Certificate program, you’ll master the fundamentals of software engineering, AI, generative AI, prompt engineering, HTML, JavaScript and Python programming. And through hands-on labs and projects, you’ll gain practical experience in building AI apps you can talk about in interviews. Once you’ve successfully completed the program, you’ll have a Professional Certificate from Coursera and a digital badge from IBM that showcase your AI proficiency. And you’ll have access to career assistance, job search, and interview preparation resources. Enroll in this IBM AI Developer Professional Certificate today and transform your career opportunities in just 6 months.

Syllabus

Course 1: Introduction to Software Engineering
Course 2: Introduction to Artificial Intelligence (AI)
Course 3: Generative AI: Introduction and Applications
Course 4: Generative AI: Prompt Engineering Basics
Course 5: Introduction to HTML, CSS, & JavaScript
Course 6: Python for Data Science, AI & Development
Course 7: Developing AI Applications with Python and Flask
Course 8: Building Generative AI-Powered Applications with Python
Course 9: Generative AI:Elevate your Software Development Career
Course 10: Software Developer Career Guide and Interview Preparation

Courses

0 reviews
14 hours 6 minutes
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Chatbots can save businesses up to 30% on customer support costs alone (Shopify), and AI developers with strong chatbot skills are in high demand! This Building AI Powered Chatbots Without Programming course gives aspiring AI application developers and engineers the skills businesses need to build chatbots in just 6 weeks. No programming experience required! During this course, you’ll explore what chatbots are and how they benefit businesses and users. You’ll learn about action workflows and the key features of a chatbot. You’ll dive into the high-level differences between decision-tree chatbots and generative AI chatbots. Plus, you’ll look at the concept of actions within chatbots and learn to build them using IBM watsonx Assistant. Through interactive labs you’ll also gain valuable hands-on experience applying what you’ve learned to real-world scenarios, such as creating a customer care chatbot for a flower shop. Great for chatting about in interviews! If you’re looking to develop the chatbot skills employers are looking for, enroll today and get ready to power up your resume in just 6 weeks!
0 reviews
20 hours 46 minutes
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A learner will be able to write an application that leverages multiple Watson AI services (Discovery, Speech to Text, Assistant, and Text to Speech). By the end of the course, they’ll learn best practices of combining Watson services, and how they can build interactive information retrieval systems with Discovery + Assistant.
2 reviews
12 hours 58 minutes
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Artificial Intelligence (AI) is all around us, seamlessly integrated into our daily lives and work. Enroll in this course to understand key AI terminologies and applications, launch your AI career, or transform your existing one. This course covers core AI concepts, including deep learning, machine learning, and neural networks. You’ll examine generative AI models, including large language models (LLMs) and their capabilities. Further, you’ll analyze the applications of AI across domains, such as natural language processing (NLP), computer vision, and robotics, uncovering how these advancements drive innovation and use cases. The course will help you discover how AI, especially generative AI, is reshaping business and work environments. You’ll also explore emerging career opportunities in this rapidly evolving field and gain insights into ethical considerations and AI governance that shape responsible innovation. The course includes hands-on labs and a project, providing a hands-on opportunity to explore AI’s use cases and applications. You will also hear from expert practitioners about the capabilities, applications, and ethical considerations surrounding AI. This course is suitable for everyone, including professionals, enthusiasts, and students interested in learning the fundamentals of AI.
2 reviews
23 hours 50 minutes
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Unlock the power of computer vision to add intelligence to images and videos! This course equips you with practical skills to understand and apply computer vision (CV)—a rapidly growing branch of AI and machine learning that drives innovations from self-driving cars to augmented reality. Through guided, hands-on labs using Python, Pillow, and OpenCV, you’ll perform essential image processing tasks such as filtering, enhancement, classification, and object detection—all within JupyterLab Notebooks for a seamless learning experience. By the end of the course, you’ll apply transfer learning with a pre-trained deep neural network to build an image classification model, experimenting with different hyperparameters to enhance its performance on a provided dataset. To take this, you need to have a foundational knowledge of Python, machine learning, and deep learning. In just a few weeks, you’ll learn to turn pixels into insights and launch your journey into AI-powered visual intelligence. Enroll today and start creating the future with computer vision!
0 reviews
9-10 hours
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In this course you will learn how to quickly and easily get started with Artificial Intelligence using IBM Watson. You will understand how Watson works, become familiar with its use cases and real life client examples, and be introduced to several of Watson AI services from IBM that enable anyone to easily apply AI and build smart apps. You will also work with several Watson services to demonstrate AI in action.

This course does not require any programming or computer science expertise and is designed for anyone whether you have a technical background or not.
3 reviews
1 day 1 hour 18 minutes
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Kickstart your Python journey with this beginner-friendly, self-paced course taught by an expert. Python is one of the most popular programming languages, and the demand for individuals with Python skills continues to grow. This course takes you from zero to programming in Python in a matter of hours—no prior programming experience is necessary! You’ll begin with Python basics, including data types, expressions, variables, and string operations. You will explore essential data structures such as lists, tuples, dictionaries, and sets, learning how to create, access, and manipulate them. Next, you will delve into logic concepts like conditions and branching, learning how to use loops and functions, along with important programming principles like exception handling and object-oriented programming. As you progress, you will gain practical experience reading from and writing to files and working with common file formats. You’ll also use powerful Python libraries like NumPy and Pandas for data manipulation and analysis. The course also covers APIs and web scraping, teaching you how to interact with REST APIs using libraries like requests and extract data from websites using BeautifulSoup. You will practice and apply what you learn through hands-on labs using Jupyter Notebooks. By the end of this course, you’ll feel comfortable creating basic programs, working with data, and automating real-world tasks using Python. This course is suitable for individuals interested in pursuing careers in Data Science, Data Analytics, Software Development, Data Engineering, AI, and DevOps and a variety of other technology-related roles.

Taught by

Antonio Cangiano, Joseph Santarcangelo, Rav Ahuja, Sacchit Chadha, Tanmay Bakshi and Yi Leng Yao

Reviews

5.0 rating, based on 1 Class Central review

Start your review of IBM AI Developer

Mahak Saxena

this course is benefical to I recently completed the AI Developer Course, and it was an incredibly valuable experience! The course provided a solid foundation in machine learning, deep learning, and AI application development. The instructors explai…

this course is benefical to I recently completed the AI Developer Course, and it was an incredibly valuable experience! The course provided a solid foundation in machine learning, deep learning, and AI application development. The instructors explained complex concepts like neural networks, natural language processing, and computer vision in a very practical and easy-to-understand way.

What I appreciated most was the hands-on approach—building real-world projects using tools like Python, TensorFlow, and OpenAI APIs. It really helped me bridge the gap between theory and real-world AI implementation.

The course also kept up with the latest AI trends, offering insights into LLMs, generative AI, and prompt engineering, which are crucial skills for today’s AI developers.

Overall, I’d highly recommend this course to anyone looking to start or advance their career in AI development. It’s well-structured, engaging, and packed with practical knowledge.

⭐ Rating: 5/5

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IBM AI Developer

Overview

Syllabus

Courses

Building AI Powered Chatbots Without Programming

Building AI Applications with Watson APIs

Introduction to Artificial Intelligence (AI)

Introduction to Computer Vision and Image Processing

Getting Started with AI using IBM Watson

Python for Data Science, AI & Development

Taught by

Tags

Reviews

Building AI Powered Chatbots Without Programming

Building AI Applications with Watson APIs

Introduction to Artificial Intelligence (AI)

Introduction to Computer Vision and Image Processing

Getting Started with AI using IBM Watson

Python for Data Science, AI & Development

Taught by

Tags

IBM Applied AI

IBM Applied AI Developer

IBM Java Developer

IBM Java Developer

IBM Full Stack Software Developer

IBM Generative AI Engineering

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