Overview
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.
Syllabus
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 with this beginner-friendly self-paced course taught by an expert. Python is one of the ... Enroll for free.
Course 5: Developing AI Applications with Python and Flask
- Offered by IBM. This mini course is intended to apply basic Python skills for developing Artificial Intelligence (AI) enabled applications. ... 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.
- 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 with this beginner-friendly self-paced course taught by an expert. Python is one of the ... Enroll for free.
Course 5: Developing AI Applications with Python and Flask
- Offered by IBM. This mini course is intended to apply basic Python skills for developing Artificial Intelligence (AI) enabled applications. ... 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.
Courses
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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.
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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 with this beginner-friendly self-paced course taught by an expert. Python is one of the most popular languages in the programming and data science world and demand for individuals who have the ability to apply Python has never been higher.
This introduction to Python course will take you from zero to programming in Python in a matter of hours—no prior programming experience necessary! You will learn about Python basics and the different data types. You will familiarize yourself with Python Data structures like List and Tuples, as well as logic concepts like conditions and branching. You will use Python libraries such as Pandas, Numpy & Beautiful Soup. You’ll also use Python to perform tasks such as data collection and web scraping with APIs.
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 anyone who wants to learn Data Science, Data Analytics, Software Development, Data Engineering, AI, and DevOps as well as a number of other job roles.
Taught by
Antonio Cangiano, Joseph Santarcangelo, Rav Ahuja, Sacchit Chadha, Tanmay Bakshi and Yi Leng Yao