AI for Everyone Free Course for Beginners

Introduction

This course discusses AI terms such as deep learning, machine learning, neural networks, and data science. You will obtain a realistic grasp of AI's capabilities and limits, learn how to identify possibilities for AI applications and build skills to collaborate with AI teams and design AI integration in your organization. There are also ethical and sociological discussions around AI. This is one of the greatest AI courses available for free online, and it includes a certificate.

What Will You Gain from This Course

Following the completion of this course, participants will:

·      Learn the definitions of terms used often in AI, such as data science, deep learning, machine learning, and neural networks.

·      Get a realistic understanding of the capabilities and limitations of AI.

·      Acquire the ability to identify chances to use AI to solve internal company issues.

·      Discover what it is like to work on data science and machine learning projects.

·      Learn how to develop an AI strategy and collaborate with an AI team in an efficient manner.

·      Navigate the debates around AI in society and ethics.

Skills Acquired:

·      Workflow of Machine Learning Projects

·      AI Terminology

·      Workflow of Data Science Projects

·      AI Strategy

·      Deep Learning

·      Neural Networks

Who Is This Course For

This course is designed for:

·      Business leaders looking to integrate AI into their company strategies.

·      Non-technical staff looking to increase their AI literacy.

·      Professionals from all fields interested in comprehending and utilizing AI.

·      People curious about the useful applications and moral implications of AI.

Course Content

4 Modules – 35 Videos – 7 Readings – 4 Quizzes – 1 App item – Certificate of Completion

What is AI?

A thorough review of the most important ideas in artificial intelligence and machine learning is given in this introductory lesson. A quick introduction sets the tone for the learning process at the outset. After that, the lesson dives into machine learning principles, defining data and outlining its crucial function in artificial intelligence. After that, it goes over key terms related to AI, which aids in creating a strong understanding base. The session also looks at the key elements and tactics that define a successful AI business. It explains what machine learning can and cannot achieve, with other examples to help with understanding. Optional pieces provide non-technical explanations of deep learning, divided into two sections for ease of consumption for individuals who are interested in a deeper understanding.

·      9 Videos

·      2 Readings

·      1 Quiz

·      1 App Item

Building AI Projects

The second week of the module builds on the first week's fundamental understanding by emphasizing the real-world applications of machine learning and data science projects. An overview of the themes for the week is given in a brief introduction to the module. The workflows for machine learning and data science projects are then explained, providing insights into the methods and procedures used in each case. The next section of the program, which is split into two sections for comprehensive coverage, offers advice on selecting an AI project. It also presents optional information on technical tools beneficial for AI teams and talks about recommended practices for collaborating with an AI team.

·      8 Videos

·      1 Reading

·      1 Quiz

Building AI In Your Company

The third week of the curriculum offers a thorough examination of strategic methods and real-world AI applications. An introduction is followed by case studies of self-driving vehicles and smart speakers to show how AI is being used in the real world. The module describes the functions of an AI team and provides a two-part presentation of the AI Transformation Playbook that includes tactics for incorporating AI into corporate operations. It also provides advice on where to begin when utilizing AI and points out typical hazards. Surveys of the main AI methods and application areas are examples of optional material. The content is reinforced by additional readings and lecture notes, and comprehension is evaluated on a quiz. The goal of this week is to improve strategic thinking and understanding of practical AI.

·      10 Videos

·      2 Readings

·      1 Quiz

AI and Society

Week 4 of the curriculum covers important and sometimes contentious areas of artificial intelligence. An introduction is given first, followed by a realistic assessment of AI's strengths and weaknesses. Important topics, including prejudice, discrimination, and hostile AI system attacks, are examined, along with the negative applications of AI. The lesson also looks at how AI is affecting developing nations and how it may affect the labor market. Here's a rundown of the main ideas for the last week. Detailed lecture notes and the chance to coach other students are included in the supplemental readings. A final quiz at the conclusion of the week assesses comprehension of the material presented and offers a thorough examination of the societal and ethical implications of artificial intelligence.

·      8 Videos

·      2 Readings

·      1 Quiz

Description

Not just engineers can use AI. You should recommend this course to everyone, especially your non-technical staff if you want your company to improve its use of AI.

Understand the meaning of terms used in artificial intelligence (AI), such as deep learning, machine learning, neural networks, and data science, with this course. Gaining a realistic grasp of what artificial intelligence (AI) can and cannot do can help you identify chances to employ AI to solve issues in your company. In addition to teaching you how to collaborate with an AI team and create an AI strategy for your business, the course will provide you with a feel for developing machine learning and data science projects. You will also learn how to have a conversation about AI that is both ethical and socially conscious.

Even though the majority of this course is non-technical, engineers can also gain from understanding AI's commercial applications.

Meet the Instructor(s)

Andrew Ng – Instructor at Stanford University - DeepLearning.AI

One of the pioneers of machine learning and online education, Andrew Ng, is also the founder of DeepLearning.AI and general partner at AI Fund. He has written or co-written more than 100 academic publications in the areas of robotics, machine learning, and related subjects, having a significant influence on innumerable people. Dr. Ng led the Google Brain project from its inception and previously held the position of chief scientist at Baidu. In addition, he has the titles of Chairman and Co-Founder of Coursera, the biggest MOOC platform globally. At the moment, Dr. Ng is working on business projects with the goal of advancing ethical AI practices around the globe.