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.
Course 1: Introduction to Artificial Intelligence (AI) - Offered by IBM. In this course you will learn what Artificial Intelligence (AI) is, explore use cases and applications of AI, understand AI ... Enroll for free.
Course 2: Getting Started with AI using IBM Watson - Offered by IBM. In this course you will learn how to quickly and easily get started with Artificial Intelligence using IBM Watson. You will ... Enroll for free.
Course 3: Building AI Powered Chatbots Without Programming - Offered by IBM. This course will teach you how to create useful chatbots without the need to write any code. Leveraging IBM Watson's ... Enroll for free.
Course 4: Python for Data Science, AI & Development - Offered by IBM. Kickstart your learning of Python for data science, as well as programming in general, with this beginner-friendly ... Enroll for free.
Course 5: Python Project for AI & Application Development - Offered by IBM. This mini-course is intended to apply foundational Python skills by implementing different techniques to develop ... Enroll for free.
Course 6: Building AI Applications with Watson APIs - Offered by IBM. A learner will be able to write an application that leverages multiple Watson AI services (Discovery, Speech to Text, ... Enroll for free.
This course will teach you how to create useful chatbots without the need to write any code.
Leveraging IBM Watson's Natural Language Processing capabilities, you'll learn how to plan, implement, test, and deploy chatbots that delight your users, rather than frustrate them.
True to our promise of not requiring any code, you'll learn how to visually create chatbots with Watson Assistant (formerly Watson Conversation) and how to deploy them on your own website through a handy WordPress plugin. Don't have a website? No worries, one will be provided to you.
Chatbots are a hot topic in our industry and are about to go big. New jobs requiring this specific skill are being added every day, consultants demand premium rates, and the interest in chatbots is quickly exploding.
Gartner predicts that by 2020, 85% of customer interactions with the enterprise will be through automated means (that's chatbots and related technologies).
Here is your chance to learn this highly in demand set of skills with a gentle introduction to the topic that leaves no stone unturned.
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.
In this course you will learn what Artificial Intelligence (AI) is, explore use cases and applications of AI, understand AI concepts and terms like machine learning, deep learning and neural networks. You will be exposed to various issues and concerns surrounding AI such as ethics and bias, & jobs, and get advice from experts about learning and starting a career in AI. You will also demonstrate AI in action with a mini project.
This course does not require any programming or computer science expertise and is designed to introduce the basics of AI to anyone whether you have a technical background or not.
Computer Vision is one of the most exciting fields in Machine Learning and AI. It has applications in many industries, such as self-driving cars, robotics, augmented reality, and much more. In this beginner-friendly course, you will understand computer vision and learn about its various applications across many industries.
As part of this course, you will utilize Python, Pillow, and OpenCV for basic image processing and perform image classification and object detection.
This is a hands-on course and involves several labs and exercises. Labs will combine Jupyter Labs and Computer Vision Learning Studio (CV Studio), a free learning tool for computer vision. CV Studio allows you to upload, train, and test your own custom image classifier and detection models. At the end of the course, you will create your own computer vision web app and deploy it to the Cloud.
This course does not require any prior Machine Learning or Computer Vision experience. However, some knowledge of the Python programming language and high school math is necessary.
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.
Kickstart your learning of Python for data science, as well as programming in general, with this beginner-friendly introduction to Python. Python is one of the world’s most popular programming languages, and there has never been greater demand for professionals with the ability to apply Python fundamentals to drive business solutions across industries.
This course will take you from zero to programming in Python in a matter of hours—no prior programming experience necessary! You will learn Python fundamentals, including data structures and data analysis, complete hands-on exercises throughout the course modules, and create a final project to demonstrate your new skills.
By the end of this course, you’ll feel comfortable creating basic programs, working with data, and solving real-world problems in Python. You’ll gain a strong foundation for more advanced learning in the field, and develop skills to help advance your career.
This course can be applied to multiple Specialization or Professional Certificate programs. Completing this course will count towards your learning in any of the following programs:
IBM Applied AI Professional Certificate
Applied Data Science Specialization
IBM Data Science Professional Certificate
Upon completion of any of the above programs, in addition to earning a Specialization completion certificate from Coursera, you’ll also receive a digital badge from IBM recognizing your expertise in the field.
Antonio Cangiano, Joseph Santarcangelo, Rav Ahuja, Sacchit Chadha, Tanmay Bakshi and Yi Leng Yao