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Leo Porter,
Ilkay Altintas,
Rav Ahuja,
Antonio Cangiano,
Joseph Santarcangelo,
Tanmay Bakshi,
Ramesh Sannareddy,
and
Abhishek Gagneja
Artificial intelligence (AI) is transforming our world. Whether you’re a student, a developer, or a technology consultant - understanding AI and knowing how to create AI-powered applications can give you an edge in your career. This Professional Certificate...
Read more
Artificial intelligence (AI) is transforming our world. Whether you’re a student, a developer, or a technology consultant - understanding AI and knowing how to create AI-powered applications can give you an edge in your career. This Professional Certificate...
Read more
Artificial intelligence (AI) is transforming our world. Whether you’re a student, a developer, or a technology consultant - understanding AI and knowing how to create AI-powered applications can give you an edge in your career. This Professional Certificate is designed to arm you with the skills to work as an AI developer.
This program will give you a firm understanding of AI technology, its applications, and its use cases. You will become familiar with concepts and tools like machine learning, data science, natural language processing, image classification, image processing, IBM Watson AI services, OpenCV, and APIs. Even if you have no programming background, through this Professional Certificate, you will learn practical Python skills to design, build, and deploy AI applications on the web. The courses will also enable you to apply pre-built AI smarts to your products and solutions.
Rather than create complex AI algorithms and interfaces from scratch, you’ll use IBM Watson AI services and APIs to create smart applications with minimal coding. By the end of this Professional Certificate, you will have completed several projects that showcase proficiency in applying AI and building AI-powered solutions.
In addition to earning a Professional Certificate from Coursera, you'll also receive a digital badge from IBM recognizing your proficiency in applied AI.
Register for this course and see more details by visiting:
OpenCourser.com/collection/bwfa9t/ibm
What's inside
Six courses
Generative AI: Prompt Engineering Basics
(0 hours)
Generative AI: Prompt Engineering Basics
(0 hours)
This course is for anyone interested in using prompt engineering to get the most out of generative AI tools like ChatGPT. You will learn how to write effective prompts using techniques like zero-shot and few-shot. You will also explore different prompt engineering approaches like Interview Pattern, Chain-of-Thought, and Tree-of-Thought. The course includes hands-on labs where you can practice creating effective prompts in the IBM Generative AI Classroom.
Introduction to Artificial Intelligence (AI)
(0 hours)
Introduction to Artificial Intelligence (AI)
(0 hours)
In this course, you will learn the basics of Artificial Intelligence (AI), including its concepts, terms, and applications. You will explore use cases of AI, such as machine learning, deep learning, and neural networks. You will also learn about the ethical and societal implications of AI and get advice on starting a career in AI. Finally, you will demonstrate AI in action with a mini project.
Generative AI: Introduction and Applications
(0 hours)
Generative AI: Introduction and Applications
(0 hours)
This course introduces generative AI, its capabilities, and applications. You will learn about the fundamentals and evolution of generative AI, explore its capabilities in different domains, and understand its applications across sectors and industries. Hands-on labs provide an opportunity to explore the use cases of generative AI through IBM Generative AI Classroom and popular tools like ChatGPT.
Developing AI Applications with Python and Flask
(0 hours)
Developing AI Applications with Python and Flask
(0 hours)
This mini course is intended to apply basic Python skills for developing Artificial Intelligence (AI) enabled applications. In this hands-on project you will assume the role of a developer and perform tasks including:
- Develop functions and application logic
- Exchange data using Watson AI libraries
- Write unit tests, and
- Package the application for distribution.
Python for Data Science, AI & Development
(0 hours)
Python for Data Science, AI & Development
(0 hours)
Kickstart your Python learning with this beginner-friendly course. Python is one of the most popular programming languages, and demand for Python skills is high. This course will teach you Python basics, data types, data structures, logic concepts, and Python libraries. You'll also use Python for data collection and web scraping. By the end of this course, you'll be able to create basic Python programs, work with data, and automate tasks.
Building AI Applications with Watson APIs
(0 hours)
Building AI Applications with Watson APIs
(0 hours)
A learner will 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.
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