Introduction to Artificial Intelligence: IBM Artificial Intelligence

About Introduction to Artificial Intelligence, IBM Artificial Intelligence

In this Introduction to Artificial Intelligence, an IBM Artificial Intelligence Course you will learn what Artificial Intelligence (AI) is, use Artificial Intelligence cases and applications, understand AI concepts and terms like machine learning, deep learning and neural networks. You will be aware of various issues and concerns surrounding Artificial Intelligence, such as ethics and prejudice, and jobs, and seek advice from experts on learning and starting a career in AI. You will also showcase AI along with a mini project.

This course Introduction to Artificial Intelligence, the IBM Artificial Intelligence does not require any sort of programming or computer science domain expertise and is specially designed in a way to introduce the basics of Artificial Intelligence to anyone whether you have any technical background or not.

This course is related to multiple other programs by IBM

This Introduction to Artificial Intelligence, IBM Artificial Intelligence course can be considered during many specializations or professional certificate programs. Successful Completion of this course will be considered towards your learning in any of the following programs:

  • IBM Applied AI Professional Certificate
  • IBM AI Foundations for Business Specialization
  • Key Technologies for Business Specialization
  • AI Foundations for Everyone Specialization
PLATFORM:COURSERA
PROVIDER:IBM
COST:FREE (AUDIT)
DIFFICULTY:BEGINNER
LANGUAGE:ENGLISH
CERTIFICATE:AVAILABLE (PAID)
EFFORT:8 HOURS
START DATE:ON GOING
DURATION:4 WEEKS
HURRY UP TO ENROLL FOR FREE.

What you will learn from completion of Introduction to Artificial Intelligence

  • Understand what is Artificial Intelligence, its applications and use cases and how it is transforming our lives
  • Describe several issues and ethical concerns surrounding Artificial Intelligence
  • Explain terms like Machine Learning, Deep Learning and Neural Networks
  • Articulate advice from experts about learning and starting a career in Artificial Intelligence

Some of the SKILLS that you shall gain are:

  • Data Science
  • Deep Learning
  • Artificial Intelligence
  • Jobs
  • Machine Learning

Syllabus: Introduction to Artificial Intelligence

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

In the first week of the course Introduction to Artificial Intelligence, you will learn about Artificial Intelligence and also understand its applications and use cases and how it has been transforming our lives.

  • Introducing AI – (Video) 3 min
  • What is AI? – (Video) 3 min
  • Optional: Tanmay’s journey and take on AI – (Video) 5 min
  • Impact and Examples of AI – (Video) 3 min
  • Optional: Application Domains for AI – (Video) 5 min
  • Some Applications of AI – (Video) 5 min
  • Optional: More Applications of AI – (Video) 3 min
  • Famous applications of AI from IBM – (Video) 5 min
  • Who should take this course? – (Reading) 2 min
  • Lesson Summary – (Reading) 10 min
  • Lesson Summary – (Reading) 10 min
  • Graded: What is AI? Applications and Examples of AI – (Practice Exercise) 20 min

Week 2: AI Concepts, Terminology, and Application Areas

In second week of the course Introduction to Artificial Intelligence, you will learn about basic Artificial Intelligence concepts and also understand how Artificial Intelligence learns, and some of its potential applications.

  • Cognitive Computing (Perception, Learning, Reasoning) – (Video) 3 min
  • Terminology and Related Concepts – (Video) 3 min
  • Machine Learning – (Video) 4 min
  • Machine Learning Techniques and Training – (Video) 4 min
  • Deep Learning – (Video) 2 min
  • Neural Networks – (Video) 3 min
  • Key Fields of Application in AI – (Video) 4 min
  • Natural Language Processing, Speech, Computer Vision – (Video) 4 min
  • Self Driving Cars – (Video) 4 min
  • Lesson Summary – (Reading) 10 min
  • Hands On Lab: Paint with AI – (Reading) 20 min
  • Lesson Summary – (Reading) 10 min
  • Hands On Lab: Computer Vision – (Reading) 20 min
  • Lesson Summary – (Reading) 10 min
  • Graded: AI Concepts, Terminology, and Application Areas – (Practice Exercise) 20 min

Week 3: AI: Issues, Concerns and Ethical Considerations

In the third week of Introduction to Artificial Intelligence, you can learn about issues and concerns related to Artificial Intelligence, including – ethical considerations, bias, jobs, etc. – their impact on society. This information will help you to make an informed discussion on the costs and benefits of Artificial Intelligence, and reassure decision makers about implementing an Artificial Intelligence solution.

  • Issues and Concerns around AI – (Video) 4 min
  • AI and Ethical Concerns – (Video) 4 min
  • AI and Bias – (Video) 2 min
  • AI: Ethics, Bias, and Trust – (Video) 4 min
  • Jobs and AI – (Video) 4 min
  • Employment and AI – (Video) 3 min
  • [Optional] Hands On Lab: Detect the Bias – (Reading) 20 min
  • AI working for good – (Reading) 15 min
  • Principles for ethical AI – (Reading) 10 min
  • Lesson Summary – (Reading) 10 min
  • Review Questions for Readings (Not Graded) – (Practice Exercise) 18 min
  • Graded: AI Issues, Ethics and Bias – (Practice Exercise) 20 min

Week 4: The Future with AI, and AI in Action

In the final week of Introduction to Artificial Intelligence, you will learn about the recent concept on the thinking of future with Artificial Intelligence, as well as get guidance from experts about their advice to learn and start a career in Artificial Intelligence. You can also demonstrate your Artificial Intelligence knowledge in action by utilizing Computer Vision to classify images.

  • The evolution and future of AI – (Video) 4 min
  • Future with AI – (Video) 4 min
  • The AI Ladder – The Journey for Adopting AI Successfully – (Video) 2 min
  • Advice for a career in AI – (Video) 5 min
  • Hotbeds of AI Innovation – (Video) 3 min
  • Tanmay’s Advice to Learn AI – (Video) 3 min
  • Polong’s Advice for a Job in AI – (Video) 4 min
  • What’s next for AI? – (Reading) 15 min
  • What will our society look like when AI is everywhere? – (Reading) 10 min
  • Lesson Summary – (Reading) 10 min
  • Lesson Summary – (Reading) 5 min
  • Introduction to the Hands-on Exercise – (Reading) 5 min
  • Hands on Lab: Classify your images with AI! – (Reading) 30 min
  • Conclusion and Next Steps – (Reading) 10 min
  • Final Assignment Part One – (Practice Exercise) 15 min

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