Applied AI

Offered By: IBM via edX

Course Description

Overview

Artificial Intelligence (AI) continues to transform the world we live in today. As such, it’s imperative for developers and technology consultants alike to understand AI and possess the skills to create AI powered applications in order to be competitive in your field. This program is designed to arm you with the skills to become and AI Application Developer and advance your career.

Through this Professional Certificate program, you will gain a strong understanding of AI, its applications, and use cases, enabling you to apply pre-built AI acumen to your products and solutions. With no prior knowledge or programming background required, you will learn to design, build, and deploy AI-powered applications, create AI driven chatbots, all while developing critical Python skills. You will also become familiar with IBM Watson AI services and APIs.

AI skills are imperative for anyone working or entering the technology sector. This program will prepare you for a career in AI applications and enhance your current skill set to grow in your domain. At the end of this program, you will have several projects in hand showcasing AI applications and building AI powered solutions, and walk away with the skills necessary to succeed in your next career step.

Syllabus

Courses under this program:
Course 1: AI for Everyone: Master the Basics

Learn what Artificial Intelligence (AI) is by understanding its applications and key concepts including machine learning, deep learning and neural networks.

Course 2: Introduction to Watson AI

Learn how to quickly and easily get started with Artificial Intelligence using IBM Watson.

Course 3: AI Chatbots without Programming

Chatbots are increasingly in demand among global businesses. This course will teach you how to build, analyze, deploy and monetize chatbots - with the help of IBM Watson and the power of AI.

Course 4: Python Basics for Data Science

This Python course provides a beginner-friendly introduction to Python for Data Science. Practice through lab exercises, and you'll be ready to create your first Python scripts on your own!

Course 5: Python for AI & Development Project

This mini-course introduces you to the process for unit testing Python code, including building and running unit tests and packaging the Python application for distribution.

Course 6: AI Applications with Watson

Turbocharge your chatbot's IQ and AI capabilities with IBM Watson Discovery and powered by Watson Assistant. Learn to use and program tools and assitant services such as Tone Analyzer and Personality Insights to build queries, extract information big data repositories.

Courses

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2 weeks, 2-4 hours a week, 2-4 hours a week
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Please Note: Learners who successfully complete this IBM course can earn a skill badge — a detailed, verifiable and digital credential that profiles the knowledge and skills you’ve acquired in this course. Enroll to learn more, complete the course and claim your badge!

Special Offer : This course includes a great offer from IBM: One year of Watson Assistant services to power 10 chatbots at no charge. The perfect way to kickstart your chatbot building business!

Chatbots are one of the most exciting and in-demand topics in tech. Businesses around the world are increasingly showing an interest in their potential for cost-saving and improving customer service availability.

In this course, you'll learn how to build chatbots powered by Watson and how to approach making money by selling chatbots to clients. We'll coverways to sell chatbots to prospective clients online and offline. We'll explore how to plan and build chatbots using a visual tool provided by IBM. We'll offer methods for testing, analyzing, and improving your chatbots. And we'll teach you how to deploy your chatbots to websites via a handy WordPress plugin.

Leveraging the AI power of Watson Assistant, you will be able toaccomplish all this without the need to write any code!
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3 weeks, 2-4 hours a week, 2-4 hours a week
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Please Note: Learners who successfully complete this IBM course can earn a skill badge — a detailed, verifiable and digital credential that profiles the knowledge and skills you’ve acquired in this course. Enroll to learn more, complete the course and claim your badge!

By enrolling in this course, chances are you've studied artifical intelligence, built chatbots and have perhaps even used Watson Assistant along the way. But did you know that you can turbocharge your chatbot's IQ with IBM Watson Discovery, a service designed to reveal the hidden value in your data? Discovery specializes in taking your data--structured or unstructured--and extracting from it answers and patterns.

For example, if you have a large repository, the contents of which could answer customer questions, you've got the makings of a great FAQ chatbot.

In this course, you'll learn how to build queries in Discovery, which allows you to surface answers and patterns from large repositories of data. You'll next learn to use Discovery to extract insights from a set of hotel reviews. Then, to make that data come to life, you'll integrate Discovery with other Watson services to create a chatbot that can tell you about the best hotels in a certain US city. By using these Watson services, you'll add more layers of analysis to help you find the best hotel.

You'll build your chatbot application with the following Watson services:
- Assistant
- Discovery
- Tone Analyzer
- Personality Insights
By the end of this course, you will have built a fully functioning AI-powered chatbot. Moreover, you should be able to apply the services taught here to your own data sets, enabling you to create sophisticated chatbots of your own.
3 reviews
3 weeks, 4-10 hours a week, 4-10 hours a week
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Please Note: Learners who successfully complete this IBM course can earn a skill badge —a detailed, verifiable and digital credential that profiles the knowledge and skills you’ve acquired in this course. Enroll to learn more, complete the course and claim your badge!

Kickstart your learning of Python for data science, as well as programming in general with this introduction to Python course. This beginner-friendly Python course will quickly take you from zero to programming in Python in a matter of hours and give you a taste of how to start working with data in Python. ~~~~

Upon its completion, you'll be able to write your own Python scripts and perform basic hands-on data analysis using our Jupyter-based lab environment. If you want to learn Python from scratch, this course is for you.

You can start creating your own data science projects and collaborating with other data scientists using IBM Watson Studio. When you sign up, you will receive free access to Watson Studio. Start now and take advantage of this platform and learn the basics of programming, machine learning, and data visualization with this introductory course.
1 review
4 weeks, 1-2 hours a week, 1-2 hours a week
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Please Note: Learners who successfully complete this IBM course can earn a skill badge — a detailed, verifiable and digital credential that profiles the knowledge and skills you’ve acquired in this course. Enroll to learn more, complete the course and claim your badge!

In this course, you will learn what AI is and understand its applications and use cases and how it is transforming our lives. You will explore basic AI concepts including machine learning, deep learning, and neural networks as well as use cases and applications of AI. You will be exposed to concerns surrounding AI, including ethics, bias, jobs and the impacts on society.

You will take a glimpse of the future with AI, get advice for starting an AI related career, and wrap up the course by demonstrating AI in action with a mini project.

This AI for Everyone 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.
0 reviews
8 weeks, 4-8 hours a week, 4-8 hours a week
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Please Note: Learners who successfully complete this IBM course can earn a skill badge — a detailed, verifiable and digital credential that profiles the knowledge and skills you’ve acquired in this course. Enroll to learn more, complete the course and claim your badge!

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 Watson AI services from IBM that enable anyone to easily apply AI and build smart apps.

You will also work with several Watson services including Watson studio, Watson assistant and Watson discovery 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.
0 reviews
3 weeks, 3-4 hours a week, 3-4 hours a week
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Please Note: Learners who successfully complete this IBM course can earn a skill badge — a detailed, verifiable and digital credential that profiles the knowledge and skills you’ve acquired in this course. Enroll to learn more, complete the course and claim your badge!

Computer Vision is one of the most exciting fields in Machine Learning, computer science and AI. It has applications in many industries such as self-driving cars, robotics, augmented reality, face detection in law enforcement agencies.

In this intro-level course, you will learn about computer vision and its various applications across many industries. As part of this course, you will utilize Python, Watson AI, and OpenCV to process images and interact with image classification models. You will also build, train, and test your own custom image classifiers.

This is a hands-on course and involves several labs and exercises. All the labs will be performed in the Cloud and you will be provided access to a Cloud environment completely free of charge.

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 Python programming language is necessary.

Taught by

Antonio Cangiano, Oliver Rodriguez, Michelle Carey, Rav Ahuja, Yi Leng Yao, Sacchit Chadha, Jenny Salgado, Reggie Raye and Joseph Santarcangelo