Artificial Intelligence: Preparing Your Career for AI (Skillshare)

Offered by Skillshare,
Artificial Intelligence: Preparing Your Career for AI (Skillshare)

Whether you realize it or not, we are currently entering the era of artificial intelligence. AI technologies are radically transforming our lives, our careers, and our world. However, most of us have not yet learned how to leverage the power of this new technology.

In this free course, you’ll learn the five things you should be doing today to prepare your career for the coming wave of AI-enabled automation.

  1. Educate yourself about AI
  2. Upgrade your career for AI
  3. Invest in an AI-first economy
  4. Use AI responsibly and ethically

Adapt to what comes next or become obsolete
The future belongs to those who are willing to invest in AI now. Don’t get left behind!

In this final project, you will apply the skills you have learned in order to develop an action plan to help you prepare your career for AI. You will develop this action plan by completing the following steps.

Step 1 - Download the Quick Reference Guide
First, please download and review the quick-reference guide for this course. You can use this sheet for the remaining steps in the project as a quick reference for the key takeaways in this course.

Step 2 - Explore Additional Resources
Next, I encourage you to explore the following optional learning resources to go dig deeper into any of the topics that we discussed in this course. All of these resources are highly recommended but they are all optional.

Step 3 - Take the Practice Quiz
Test your knowledge to ensure that you've learned the key takeaways from this course by taking this short online quiz.

Step 4 - Complete the Practice Exercise
Work through the attached practice exercise to think more deeply about how the recommendations in this course can be applied specifically to your career. The exercise will help you to generate ideas that will be used in the final step in this project.

Step 5 - Review the Example Action Plan
Download and review the attached Action Plan (Example) document to see what a finished action plan should look like. Please note that this document is just an example to give you ideas for your own action plan -- it should not be used as your actual action plan.

Step 6 - Develop an Action Plan
In this step, you will develop an action plan to help prepare your career for AI. This step of the project incorporates all of the previous steps that came before it. Simply download and complete the Action Plan (Template) document. This document will walk you through all of the steps for creating an action plan to achieve your career objective.

Step 7 - Share with Others
Finally, share your action plan with your peers on SkillShare. This will help strengthen your commitment to achieving your goals by making them public. In addition, it will provide more examples to help others develop their own action plans as well.

Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

New Technologies for Business Leaders (Coursera) Coursera
Rutgers University

New Technologies for Business Leaders (Coursera)

This introductory course is developed for high-level business people (and those on their way) who want a broad understanding of new Information Technologies and understand their potential for business functions (e.g. marketing, supply change management, finance). This is not a course for people looking for guidance on how to become a deep technical expert or implement these technologies.

Sep 28th 2026
5-12 Weeks
Machine Learning in Healthcare: Fundamentals & Applications (Coursera) Coursera
Northeastern University

Machine Learning in Healthcare: Fundamentals & Applications (Coursera)

Examines data mining perspectives and methods in a healthcare context. Introduces the theoretical foundations for major data mining methods and studies how to select and use the appropriate data mining method and the major advantages for each. Students are exposed to contemporary data mining software applications and basic programming skills. Focuses on solving real-world problems, which require data cleaning, data transformation, and data modeling.

Sep 28th 2026
4 Weeks
Introduction -- Data Science and Machine Learning using Python - A Bootcamp (Skillshare) Skillshare
Skillshare

Introduction -- Data Science and Machine Learning using Python - A Bootcamp (Skillshare)

Greetings, I am so excited to learn that you have started your path to becoming a Data Scientist with my course. Data Scientist is in-demand and most satisfying career, where you will solve the most interesting problems and challenges in the world. Not only, you will earn average salary of over $100,000 p.a., you will also see the impact of your work around your, is not is amazing?

Self Paced
Self-Paced
Interactive Data Visualization: Getting Started with D3.js - V5 (Skillshare) Skillshare
Skillshare

Interactive Data Visualization: Getting Started with D3.js - V5 (Skillshare)

D3.js has become the standard for creating custom interactive data visualizations for the web. This feature-rich open source javascript library allows you to create dynamic and extremely diverse experiences that can interact with users and any other element on a web page. For programmers familiar with Javascript, it is not hard to pick up and run with D3 very quickly. For those with limited javascript experience, it can be intimidating.

Self Paced
Self-Paced
Machine Learning Basics (Coursera) Coursera
Sungkyunkwan University - SKKU

Machine Learning Basics (Coursera)

In this course, you will: understand the basic concepts of machine learning; understand a typical memory-based method, the K nearest neighbor method; understand linear regression; understand model analysis. Please make sure that you’re comfortable programming in Python and have a basic knowledge of mathematics including matrix multiplications, and conditional probability.

Sep 28th 2026
4 Weeks
Understanding China, 1700-2000: A Data Analytic Approach, Part 1 (Coursera) Coursera
The Hong Kong University of Science and Technology - HKUST

Understanding China, 1700-2000: A Data Analytic Approach, Part 1 (Coursera)

The purpose of this course is to summarize new directions in Chinese history and social science produced by the creation and analysis of big historical datasets based on newly opened Chinese archival holdings, and to organize this knowledge in a framework that encourages learning about China in comparative perspective. Our course demonstrates how a new scholarship of discovery is redefining what is singular about modern China and modern Chinese history.

Sep 28th 2026
5-12 Weeks
Tools and Practices for Addressing Pandemic Challenges (Coursera) Coursera
Politecnico di Milano

Tools and Practices for Addressing Pandemic Challenges (Coursera)

An overview of the tools, techniques, and practices that can be enacted by policy makers, countries, and organizations to monitor, manage, and react to pandemics and mitigate and govern their impacts. An introductory, multidisciplinary course covering data science, social science, healthcare, and management, paving the way to various courses on specific matters.

Sep 28th 2026
2 Weeks
Google Cloud Product Fundamentals en Español (Coursera) Coursera
Google Cloud

Google Cloud Product Fundamentals en Español (Coursera)

Este curso, que es una continuación de Business Transformation with Google Cloud, le permitirá conocer la perspectiva tecnológica de la transformación de una organización. Para ser más específicos, explicaremos cómo la tecnología de Google Cloud puede transformar digitalmente una organización en los siguientes aspectos: modernizar la infraestructura de TI; mejorar la forma en que los equipos desarrollan las aplicaciones que utiliza la empresa; saber cómo aprovechar el aprendizaje automático y la inteligencia artificial para generar más valor; advertir el rol fundamental de las herramientas de productividad basadas en la nube, como G Suite, para cumplir con el trabajo, y comprender los desafíos y las oportunidades de la administración de costos que trae aparejados una infraestructura de TI cambiante basada en la nube.

Sep 28th 2026
5-12 Weeks
Preparing for the Google Cloud Professional Data Engineer Exam em Português Brasileiro (Coursera) Coursera
Google Cloud

Preparing for the Google Cloud Professional Data Engineer Exam em Português Brasileiro (Coursera)

Por que fazer o curso: "A melhor forma de se preparar para o exame é ser competente nas habilidades necessárias ao trabalho." Este curso usa uma abordagem "top-down". Ele identifica as habilidades que você já tem e apresenta novas informações e áreas para ampliar seus conhecimentos. Use este curso para criar seu plano de preparação personalizado. Ele ajudará você a identificar o que sabe e o que precisa estudar mais, além de desenvolver e praticar as habilidades necessárias às competências do cargo.

Sep 28th 2026
1 Week
Decision Making and Reinforcement Learning (Coursera) Coursera
Columbia University

Decision Making and Reinforcement Learning (Coursera)

This course is an introduction to sequential decision making and reinforcement learning. We start with a discussion of utility theory to learn how preferences can be represented and modeled for decision making. We first model simple decision problems as multi-armed bandit problems in and discuss several approaches to evaluate feedback. We will then model decision problems as finite Markov decision processes (MDPs), and discuss their solutions via dynamic programming algorithms. We touch on the notion of partial observability in real problems, modeled by POMDPs and then solved by online planning methods.

Sep 28th 2026
5-12 Weeks
Introduction to Generative AI Studio (Coursera) Coursera
Google Cloud

Introduction to Generative AI Studio (Coursera)

This course introduces Generative AI Studio, a product on Vertex AI, that helps you prototype and customize generative AI models so you can use their capabilities in your applications. In this course, you learn what Generative AI Studio is, its features and options, and how to use it by walking through demos of the product. In the end, you will have a quiz to test your knowledge.

Sep 28th 2026
1 Week
Probabilistic Graphical Models 3: Learning (Coursera) Coursera
Stanford University

Probabilistic Graphical Models 3: Learning (Coursera)

Probabilistic graphical models (PGMs) are a rich framework for encoding probability distributions over complex domains: joint (multivariate) distributions over large numbers of random variables that interact with each other. These representations sit at the intersection of statistics and computer science, relying on concepts from probability theory, graph algorithms, machine learning, and more. They are the basis for the state-of-the-art methods in a wide variety of applications, such as medical diagnosis, image understanding, speech recognition, natural language processing, and many, many more. They are also a foundational tool in formulating many machine learning problems.

Sep 28th 2026
5-12 Weeks