Explore the AI World with Coursera's Advanced Artificial Intelligence Course

Aishwarya Muttineni

08 June 2023

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Course Overview

In Introduction to Artificial Intelligence (AI) by Coursera, you will learn what Artificial Intelligence (AI) is, explore use-cases and applications of AI, and understand AI concepts like machine learning, deep learning, and neural networks. You will be exposed to various issues and concerns surrounding AI, such as ethics and bias. You will also get advice from experts about learning and starting a career in AI. In the end, you will also get a chance to demonstrate AI in action with a mini-project.

This Artificial Intelligence course does not require any programming or computer science expertise and is designed to introduce the basics of AI to the learner regardless of whether they possess a technical background or not.

Rav Ahuja, the instructor for this course, is a Global Program Director at International Business Machines Corporation (IBM). Rav leads growth strategy, curriculum creation, and partner programs for the IBM Skills Network. This instructor is well experienced and explains each and every point in an easy manner. He plays a major part in making the course understandable.

"The course helped me gain critical knowledge in the field and in getting a good job after my graduation."

- Aishwarya Muttineni

Course Structure

It’s a self-paced, well-curated beginner-level course of duration not more than 9 hours, taught online by experienced faculty members. It usually requires 2.5 hours per sitting just to regulate your course pace.

You will get a glimpse of the future with AI, get advice for starting an AI-related career, and wrap up the course by doing a mini project that demonstrates AI in action. Technically, the Artificial Intelligence course syllabus is spread over 4 distinct modules:

Module 1: What is AI? Applications and Examples of AI

Module 2: AI Concepts, Terminology, and Application Areas

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

Module 4: The Future with AI and AI in Action

Insider Tips

In order to get the best out of this AI course, I have included some important tips that I think you might find useful:

Technical Exhibitionism from the Course
In this course, you will learn what AI is, 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.

You will be exposed to concerns surrounding AI, including ethics, bias, loss of jobs and its impacts on society. You will get a glimpse of the future with AI, get advice for starting an AI related career, and wrap up the course with a mini project.

Assessment and Grading Criteria
The assessment method requires completing assignments and undertaking projects under various modules throughout the degree. One can take attempts at a graded assessment only 3 times every 8 hours.
The evaluations are designed to ensure continuous student engagement with the program and encourage learning. There are instructor-moderated discussions scheduled at stipulated intervals to validate the learners' learning experience.

Final Take

I was in my second year of Bachelors in Technology, Computer Science Engineering (B-Tech CSE), when I started this course. Because Artificial Intelligence is a trending technology, the course helped me gain critical knowledge in the field and in getting a good job after my graduation. The course was also helpful for me in my final year graduation projects. In this course, I learned what AI is, understood its applications and use cases, and how it is transforming our lives. It is indeed a well-curated curriculum and shows AI is for everyone.

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Key Takeaways

Understanding of what AI is, its applications and use-cases, and how it is transforming our lives.

Understanding of terms like Machine Learning, Deep Learning, and Neural Networks.

Discussion of several issues and ethical concerns surrounding AI.

Get advice for starting an AI related career.

Course Instructors

Aishwarya Muttineni

ML & NLP Engineer

Currently enrolled as a Computer science engineering(CSE) student at GITAM University Bangalore. Interested in the Artificial intelligence(AI) as well as Machine learning(ML)