New to Artificial Intelligence? This IBM Course is Just For You!

This Introduction to Artificial Intelligence (AI) course offered by IBM on Coursera provides an overview of the fundamental concepts and techniques in Artificial Intelligence (AI). AI is a booming field that offers numerous job opportunities. The course is designed to be accessible to learners with little or no background in AI. At the same time, this IBM course also delves deep enough to be relevant to those experienced in the field.

The instructor of this course is Ravi Ahuja, Global Program Director at IBM. Ravi leads growth strategy, curriculum creation, and partner programs for the IBM Skills Network. He is the architect for the IBM Data Science Professional Certificate and instructor for the Databases and Structured Query Language (SQL) for the Data Science course on Coursera. Ravi specializes in instructional solutions for AI, Data Science, Cloud and Blockchain and has authored numerous papers, articles, books and courses on managing and analyzing data. 

The course is divided into 4 modules:

• What is AI?  
  
  This module introduces the concept of AI and its various subfields, such as Machine Learning (ML), Natural Language Processing (NLP), and robotics. It also covers some of the ethical and societal issues related to AI.
   
• Problem-Solving
  
  This module covers search algorithms and heuristics, which are important tools for solving problems in AI. It also covers constraint satisfaction problems and how to use them to model real-world problems.
   
• Reasoning
  
  This module covers logic and knowledge representation, which are important tools for representing and reasoning knowledge in AI. It also covers Bayesian networks and how they can be used to reason under uncertainty.
   
• Perception and Intelligence
  
  This module covers Computer Vision and how machines can be trained to recognize patterns in images. It also covers NLP and how machines can be trained to understand and generate human language.

Throughout the IBM program, learners will work on hands-on programming assignments and quizzes to reinforce their understanding of the material. The course also includes a final project, where learners apply their newfound knowledge to a real-world problem.

Overall, this course is a great way to get started in AI and gain a broad understanding of its key concepts and techniques.

I am a student at Gitam deemed university. I decided to enroll in this course as AI is part of my curriculum, and learning from experts will help me both understand and excel in this subject. 

One of the biggest advantages of this course is that it provides the best introduction to Artificial Intelligence. AI can significantly reduce errors and increase accuracy and precision. The decisions taken by AI in every step are decided by information previously gathered and a certain set of algorithms. When programmed properly, these errors can be reduced to nil. 

In this course, you will learn what Artificial Intelligence (AI) is, explore use cases and applications of AI, and 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. 

Learners also get advice from experts about learning and starting a career in AI. You will also demonstrate AI in action with a mini-project. You will become familiar with IBM Watson AI services and APIs. Even if you have no programming background, you can create AI-driven chatbots and pick up practical Python skills to work with AI.