Introduction to AI Free Course For Beginners

Introduction

This course is intended for beginners and professionals who want to learn AI from the basics. It teaches learners all about AI and covers its vast applications, dynamic concepts, ethical considerations, and issues and concerns.

As AI progresses to revolutionize the industries, it is now among the most powerful digital tools. Participants in this course will get a firm grasp of reasoning, problem-solving, language comprehension, and perception of AI. Through a realistic, practical grounding in AI and its fundamental applications, students will learn how to harness its potential with this virtual free artificial intelligence course with a certificate.

What Will You Gain from This Course

Following the completion of this free AI course, students will have acquired the following knowledge:

1. AI & its concepts: Grasp a solid understanding of AI, its concepts and applications from experts, and how it can transform businesses.
2. AI & associated terms: Fully comprehend what AI and associated terms mean, such as Machine Learning, Neural Networks, and Deep Learning. Understand how to incorporate these skills into your career with hands-on projects.
3. AI & its issues and ethical concerns: Learn how to tackle AI challenges like risks surrounding data privacy and policies, as well as ethical concerns, including inconclusive or inscrutable evidence. Assessment quizzes will be taken to judge your comprehension.
4. AI & its careers: Receive a shareable career certificate to add value to resumes, CVs, or LinkedIn profiles.

Skills Acquired:

Upon completion of this free online AI course, participants will have secured the following skills:

1. Artificial Intelligence
2. Data Science
3. Machine Learning
4. Deep Learning
5. Neural Networks

Who is This Course for:

This course is designed for:

1. Beginners and individuals who are new to AI or have only a basic understanding. It is designed to be accessible for students with minimal prior knowledge by starting with an in-depth discussion of essential ideas.
2. The hands-on components of this free artificial intelligence course with a certificate will be helpful to those who want to integrate artificial intelligence into their work.

Course Content

Four sections – 32 videos – 13 readings – 4 quizzes – Certificate of Completion

Module 1: What is AI? Applications and Examples

1. 10 videos: 47 minutes
2. 3 readings: 22 minutes
3. 1 quiz: 20 minutes
4. Completion time: 1 hour 29 minutes

This course begins with the basics, addressing what AI is. It also briefly discusses AI’s use cases and applications, along with associated terms such as machine learning, neural networks, and deep learning.

This module discusses Tanmay’s journey as an AI application architect and his take on AI. It highlights who this course is for and ends with a graded quiz to ensure participant consolidation.

Module 2: AI Concepts, Terminology, and Application Areas

1. 9 videos: 34 minutes
2. 3 readings: 39 minutes
3. 1 quiz: 30 minutes
4. Completion time: 1 hour 43 minutes

This module covers the fundamental AI concepts, terminologies, and application areas. The participants get access to thorough knowledge about Machine Learning and its various techniques, Deep Learning, and Neural Networks.

Moreover, students also learn about key fields of AI applications, natural language processing, and computer vision and speech. Automobile enthusiasts can also enjoy information about self-driving cars, another increasingly popular application of AI.

Module 3: AI: Issues, Concerns, and Ethical Considerations

1. 6 videos: 34 minutes
2. 3 readings: 13 minutes
3. 1 quiz: 30 minutes
4. 1 discussion prompt: 10 minutes
5. Completion time: 1 hour 27 minutes

The third module explores global extensions of AI, discussing how it is transforming the way we work, live, and interact – the main reason why it is imperative to establish ethical expectations.

A wide variety of topics is covered in this module, including issues and concerns linked with AI, along with the ways practitioners can use it mindfully and responsibly. The module will help students understand the current and forthcoming impacts of AI on society, giving them a detailed insight into its risks and benefits.

Module 4: The Future with AI and AI in Action

1. 7 videos: 28 minutes
2. 4 readings: 35 minutes
3. 1 quiz: 15 minutes
4. 1 peer review: 60 minutes
5. 4 plugins: 85 minutes
6. Completion Time: 3 hours 25 minutes

This module caters to the future of AI, providing participants with everything the experts have shared. Gain valuable insights, experts’ advice and recommendations, and genuine opinions about where to start.

Participants also get a chance to demonstrate AI with Computer Vision to classify images. A 15-minute quiz will evaluate what you have grasped throughout the course, followed by a graded assignment to reinforce the knowledge.

The course progresses to its end with 4 plugins that showcase what the world may look like when AI takes over completely. The final project sheds light on the banking Chatbot, another remarkable AI application.

Meet Your Instructor

Rav Ahuja: IBM Global Program Director – B. Eng. & MBA Graduate

Meet Rav Ahuja, a Global Program Director at IBM. Rav excels at curriculum creation, partner programs, and growth strategy at IBM Skills Network. He has formatted the IBM Data Science Professional Certificate and is an advent instructor for the SQL & Databases for the Data Science course available on Coursera. Rav Ahuja also established the foundation for Cognitive Class, an IBM-supported initiative aimed at democratizing skills for technologies in demand. Based in the IBM Canada Lab in Toronto, he leads instructional solutions surrounding AI, Cloud, Data Science, and Blockchain. He represents IBM at events globally and is a recognized author of numerous articles, books, courses, and papers concerning data management and analysis. Rav is a McGill University graduate with a B. Eng. degree and an MBA degree holder from the University of Western Ontario.