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Top 51 FREE AI Courses: AI Literacy A Crucial Skill

  • Writer: Avy-Loren Cohen
    Avy-Loren Cohen
  • Feb 24
  • 19 min read


Introduction

In our rapidly evolving technological landscape, artificial intelligence (AI) has become an indispensable force, reshaping industries, societies, and our daily lives. From self-driving cars to personalized medicine, AI’s applications are vast and far-reaching. However, amidst this technological revolution, there exists a growing digital divide. A lack of understanding about AI can lead to a range of challenges, from economic inequality to job displacement. We must bridge this gap by promoting AI literacy.


Why is AI Literacy Important?

  1. Economic Opportunities: A strong understanding of AI can open up new career paths and enhance job prospects. As AI continues to permeate various sectors, individuals with AI skills will be in high demand.

  2. Informed Decision-Making: AI literacy empowers individuals to make informed decisions about their personal and professional lives. By understanding the capabilities and limitations of AI, people can leverage its benefits while mitigating potential risks.

  3. Ethical Considerations: AI raises crucial ethical questions related to privacy, bias, and accountability. A well-informed public can engage in meaningful discussions about AI’s societal implications and advocate for responsible development and deployment.

  4. Digital Empowerment: AI literacy can help individuals navigate the digital world with confidence. By understanding AI-powered technologies, people can become more resilient to misinformation and cyber threats.


Free Online Courses to Get You Started

To help you embark on your AI learning journey, we have curated a list of free online courses designed for beginners. These courses will provide you with a solid foundation in AI concepts, programming languages, and real-world applications.

*Please note, that all course descriptions are taken directly from the respective website. The author does not take credit for any content relating to the course description. The author does not have any affiliation with any of the institutions and/or organizations nor does the author benefit from any gain such as financial or other by writing about the courses listed in this article.


1) Course Name: Introduction to Artificial Intelligence (AI)

Given by: IBM


Learning objectives:

· Describe what AI is and explain the core concepts related to AI

· Demonstrate how AI applications and use cases can transform our lives and our work

· Recognize the potential and impact of AI to transform businesses and careers

· Describe the issues, limitations, and ethical concerns surrounding AI


 

2) Course Name: Introduction to Generative AI

Given by: Google Cloud


Learning objectives:

· Define generative AI

· Explain how generative AI works

· Describe generative AI model types

· Describe generative AI applications


3) Course Name: AI Foundations for Everyone

Given by: IBM

 

Learning objectives:

Understand, Artificial Intelligence (AI), ChatGPT, Large Language Models (LLM), Natural Language Generation, Generative AI, AI ethics, Natural Language Processing, Machine Learning, Artificial Intelligence, Prompt Engineering, and prompt patterns.


4) Course Name: AI For Business

Given by: Wharton, University of Pennsylvania


Learning objectives:

Understand Artificial Intelligence (AI), Analytics, Machine Learning, Management, and Fraud Prevention.

 

5) Course Name: AI, Business & the Future of Work

Given by: Lund University


Learning objectives:

· How AI can give you better information upon which to make better decisions.

· How AI can help you automate processes and become more efficient.

· How AI will impact your industry so that you can avoid the pitfalls and seize the benefits.

 

6) Course Name: Introduction to Responsible AI

Given by: Google Cloud


Learning objectives:

· Understand why Google has put AI principles in place

· Identify the need for a responsible AI practice within an organization.

· Recognize that decisions made at all stages of a project have an impact on responsible AI.

· Recognize that organizations can design AI to fit their own business needs and values.

 

7) Course Name: Intel® AI Fundamentals

Given by: Intel


Learning objectives:

· AI Trends & Terminology

· End-to-End AI Pipeline

· AI Hardware & Software Solutions

· Customer Success Stories

 

8) Course Name: AI Product Management

Given by: Duke University


Learning objectives:

· Identify when and how machine learning can be applied to solve problems

· Apply human-centered design practices to design AI product experiences that protect privacy and meet ethical standards

· Lead machine learning projects using the data science process and best practices from industry

 

9) Course Name: AI & Law

Given by: Lund University


Learning objectives:

· Understand the legal significance of artificially intelligent software and hardware.

· Understand the impact of the emergence of artificial intelligence on the application and administration of law in the public sector.

· Understand the legal relevance of the use of artificially intelligent software in the private sector.

· Understand the importance of artificial intelligence for selected legal fields, including labor law, competition law, and health law.

 

10) Course Name: Generative AI for Executives and Business Leaders

Given by: IBM


Learning objectives:

· Understand the history and impact of generative AI for business

· Learn about the importance of your data concerning business AI

· Know the importance of trust, transparency and governance

· Apply generative AI to key use cases like customer service and application modernization

 

11) Course Name: Generative AI Automation

Given by: Vanderbilt University

Platform course link:


Learning objectives:

Generative AI Mastery: Automate with ChatGPT. Learn to perform complex tasks effortlessly using the power of generative AI.

Understand Problem Formulation for Generative AI, Prompt Engineering, and Generative AI.

ChatGPT, is a chain of thought prompting, prompt patterns, and Large Language Models.

Visualize complex data trapped in PDFs, Amplify your presentations by having ChatGPT critique your slides or other important documents, Automate the extraction of structured data from documents and the creation of other documents and PowerPoint, Automate the editing and management of images and video while cataloging it, Use ChatGPT to read and understand documents, and GPT-4V (Vision).

 

12) Course Name: AI for Everyday Life

Given by: Kennesaw State University


Learning objectives:

· Craft an input and output using the prompt engineering methods for generative AI

· Apply your knowledge of one prompt engineering method to a real-world scenario

· Articulate two methods of prompt engineering for everyday uses.

 

13) Course Name: Generative AI Primer

Given by: Vanderbilt University


Learning objectives:

· How Generative AI is going to transform computing and work

· How to use Generative AI to amplify and augment your creativity and critical thinking to provide an “exoskeleton for the mind”

 

14) Course Name: How to Get Into AI

Given by: University of Leeds


Learning objectives:

· Demonstrate an understanding of current AI applications across various fields and articulate the key issues associated with these applications.

· Engage in critical reflection on the social, legal, and ethical considerations surrounding AI.

· Recognize diverse AI career paths and the essential skills required for success in the field.

 

15) Course Name: Product Analytics and AI

Given by: University of Virginia


Learning objectives:

· How to naturally, and habitually tie your team’s work to actionable analytics that help you drive user value.

· How to pair your hypotheses on customer personas and problems with analytics.

· How to test propositions (a la Lean Startup) so you don’t build features no one wants.

· How to instrument actionable observation into everything you build (a la Lean UX).

 

16) Course Name: AI Concepts and Strategy

Given by: Rutgers the State University of New Jersey


Learning objectives:

· This course will explain AI in-depth & give you UNIQUE robust long-lasting STRATEGIC CONCEPTS for competitive advantage in Artificial Intelligence!

· NO emphasis on coding or ML or LLMs etc. — This course will NOT teach you machine learning/programming -tons of other good courses do this for you.

 

17) Course Name: Human Factors in AI

Given by: Duke University


Learning objectives:

· Identify and mitigate privacy and ethical risks in AI projects

· Apply human-centered design practices to design successful AI product experiences

· Build AI systems that augment human intelligence and inspire model trust in users

 

18) Course Name: AI for Marketing

Given by: Emory University


Learning objectives:

· Supercharge Your Marketing with AI. Master strategies for deploying AI solutions in support of your marketing efforts.

· Learn to leverage AI for marketing efficiency, understand generative AI tools, assess benefits, and recognize potential risks to brands and society.

 

19) Course Name: Product Management: Building AI-Powered Products

Given by: SkillUp EdTech


Learning objectives:

· Explain the roles of an AI product manager and the required skills to manage a product lifecycle, and explore their daily routine.

· Conduct a skills analysis, examine AI opportunities and challenges, and use AI tools in product development and market reach expansion.

· Describe the AI value proposition, methods for communicating with stakeholders, the AI process, stages of AI product development, and the ROI of AI.

· Discuss AI integration into the product management lifecycle, AI’s impact and use cases, and strategies for commercializing AI products.

 

20) Course Name: Artificial Intelligence

Given by: Illinois Tech


Learning objectives: Designed as an introduction to the evolving area of AI, this course emphasizes potential business applications and related managerial insights. Artificial Intelligence (AI) is the science behind systems that can program themselves to classify, predict, and offer solutions based on structured and unstructured data.

 

21) Course Name: Use Generative AI as Your Thought Partner

Given by: Coursera


Learning objectives:

· Knowledge and hands-on experience using GenAI

· The importance of critical thinking when interacting with LLMs

· Understand not only what GenAI is but also how to use it to develop better ideas more quickly and sharpen your point of view

 

22) Course Name: What Can AI Do for Marketing?

Given by: Emory University


Learning objectives:

Explore the transformative potential of artificial intelligence in the marketing landscape. This course is designed to help you distinguish between the opportunities for developing new AI algorithms and those for applying existing AI technologies in marketing. You will learn how to identify and capitalize on AI-driven opportunities to enhance marketing strategies, improve customer engagement, and drive business growth. Delve into the crucial role of data in AI applications, discovering how to collect, analyze, and leverage data to inform marketing decisions. Understand the process of mapping and managing the customer journey with AI tools, ensuring personalized and efficient customer experiences. Learn to assess the impact of AI implementations on your marketing efforts, measuring success and refining strategies for optimal results. This course also addresses the critical issue of bias in AI, providing insights on how to recognize and mitigate biases in machine learning algorithms to ensure fair and ethical marketing practices. By the end of this course, you will be equipped with the knowledge and skills to harness AI’s full potential in the marketing domain. Join us to unlock the future of marketing with AI.

 

23) Course Name: GenAI for Everyone

Given by: Fractal Analytics


Learning objectives:

This course will explore the various aspects of Generative AI or GenAI. This introductory “GenAI for Everyone” course informs you about the different capabilities of Generative AI. By the end of this course, you will be able to discuss the fundamentals of Generative AI or GenAI and discuss some of the applications of GenAI in daily life, such as virtual assistants, chatbots, and personalized recommendations. You would also explore ethical deployment strategies and learn how to apply responsible practices, discuss the impact of GenAI on organizational efficiency, and learn the importance of ethical deployment through human-centered design principles and robust engineering practices.

 

24) Course Name: Innovations in Investment Technology: Artificial Intelligence

Given by: University of Michigan


Learning objectives:

· Recognize the strengths and weaknesses of human financial advisors and investors.

· Explain the business model of robo/AI-advisors.

· Identify the relationship between identifiable firm characteristics and average returns.

· Build a diversified portfolio based on attitudes toward risk.

 

25) Course Name: The Role of the CEO in Navigating GenAI

Given by: Coursera


Learning objectives:

This course is designed to guide CEOs and senior leaders on their journey to understanding and leveraging Generative AI. It focuses on the critical role of the CEO in navigating the transformative potential of GenAI. Guest speakers, Andrew Ng (Co-founder and Chairman of Coursera) and Hayden Brown (CEO of Upwork) provide their perspectives on the importance of this journey and how leaders can maximize their impact.

In this course, learners will get hands-on experiences with GenAI within our live “playground” environment with private access to powerful large language models. You’ll explore how GenAI can serve as a ‘thought partner’, enhancing critical areas of their role such as information synthesis, decision-making, and effective communication. Imagine having a partner who can help you sift through vast amounts of data, identify key insights, and aid in making strategic decisions. That’s the promise of GenAI.

Finally, guest lecturers Jules White (Vanderbilt) and Andrew Ng (Stanford and DeepLearning.AI) will provide an executive summary of how Generative AI works as well as what it is capable and not capable of.

 

26) Course Name: Generative AI for the Resilient Pricer

Given by: Dartmouth College


Learning objectives:

Address the concept of leveraging Gen-AI in various economic and operational circumstances to rapidly generate pricing insights. Disruption occurs at an ever-increasing pace, driving imperfect information, limited response time, and competing priorities. The commercial excellence discipline requires a holistic approach to delivering results, and those who complete this course will come away with the understanding necessary to determine where to focus for maximum effect.

 

27) Course Name: ChatGPT: Master Free AI Tools to Supercharge Productivity

Given by: Vanderbilt University


Learning objectives:

Unlock the power of ChatGPT’s free AI tools to excel with powerful and intuitive techniques that can be applied across any professional domain, from digital marketing and data analytics to project management and machine learning. This course is designed to enhance your productivity and skillset by exploring diverse applications of generative AI, empowering you to achieve more in both work and life. You’ll discover customizable patterns that allow you to leverage AI in nearly any domain, including finance, social media, cybersecurity, business communication, leadership, business management, psychology, and beyond, expanding your capabilities across multiple fields. Start mastering these essential AI tools today and transform your approach to every professional challenge.

Applied Learning Project

In this course, learners will engage in hands-on projects where they’ll leverage ChatGPT to generate multiple solutions for real-world problems, enhance communication by understanding customer perspectives, create comprehensive plans for various scenarios like trips or marketing campaigns, and analyze complex data and documents to uncover key insights and gaps. These projects will enable learners to apply AI-driven techniques to solve authentic challenges across diverse professional domains.

 

28) Course Name: Leadership Strategies for AI and Generative AI

Given by: Fractal Analytics


Learning objectives:

· Evaluate potential applications of generative AI across diverse business domains.

· Integrate generative AI into business operations effectively, considering data privacy and ethical implications.

· Establish KPIs, interpret data-driven insights, and devise optimization strategies for generative AI initiatives.

 

29) Course Name: Generative AI Essentials: Overview and Impact

Given by: University of Michigan


Learning objectives:

With the rise of generative artificial intelligence, there has been a growing demand to explore how to use these powerful tools not only in our work but also in our day-to-day lives. Generative AI Essentials: Overview and Impact introduces learners to large language models and generative AI tools, like ChatGPT. In this course, you’ll explore generative AI essentials, how to ethically use artificial intelligence, its implications for authorship, and what regulations for generative AI could look like. This course brings together University of Michigan experts on communication technology, the economy, artificial intelligence, natural language processing, architecture, and law to discuss the impacts of generative AI on our current society and its implications for the future.

 

30) Course Name: Introduction to Generative AI

Given by: Duke University


Learning objectives:

  • Learn to utilize Generative AI for automation.

  • Develop Generative AI software solutions.

  • Build solutions with Prompt Engineering to enhance Generative AI output.

 

31) Course Name: Generative AI in Marketing

Given by: UVA Darden


Learning objectives:

  • You will use the fundamentals of Generative AI to practice creating logos marketing content and services.

  • You will learn how to review and deploy a chatbot for marketing and customer service.

  • You will learn how to implement an AI Marketing strategy and how to navigate the various strategic internal and external considerations.

 

32) Course Name: Navigating Generative AI: A CEO Playbook

Given by: Coursera


Learning objectives:

  • A practical overview of GenAI’s capabilities, limitations, and where it may be heading

  • How to use GenAI as a “thought partner” to set strategy, improve decision-making, analyze competition, and communicate more effectively

  • How to enable your organization to use GenAI to create customer value and boost productivity

  • How to move quickly and safely with an understanding of the risks associated with this technology

 

33) Course Name: Content Marketing Using Generative AI

Given by: UVA Darden


Learning objectives:

  • You will learn the basic principles and frameworks of Generative AI in marketing.

  • You will learn how to effectively “listen” to customer insights through practice by promoting a brand online.

 

34) Course Name: AI for Grant Writing

Given by: Kennesaw State University


Learning objectives:

Discover the future of grant writing with a new short course from Kennesaw State University on “Leveraging Generative AI for Grant Writing,” This innovative course is designed for adult learners who want to transform their grant writing skills by harnessing the power of generative AI. The course begins with a solid foundation in prompt engineering — an essential technique for crafting precise and effective instructions for AI assistants like ChatGPT.

Learners will be guided through the Rhetorical Prompt Engineering Method, ensuring their AI-generated content meets the four ethical qualifiers of output. Through engaging exercises and real-time demonstrations, learners will use generative AI can streamline every aspect of the grant writing process, from crafting compelling solicitation letters to structuring detailed proposals. By the end of this course, learners will be equipped to create high-quality, persuasive grant proposals.

 

35) Course Name: Generative AI for Legal Services Primer

Given by: Vanderbilt University


Learning objectives:

This course covers what Generative AI is and its applications to a variety of tasks in the legal field. The course will cover ethics and privacy, basic prompt engineering strategies for legal use cases, and how to leverage Generative AI to augment your legal expertise. This is a rapidly advancing area and a primary goal of this course is to prepare everyone for the pace of change that is taking place and to develop a mindset of continuous curiosity that will enable lawyers to adapt along with the technology

 

36) Course Name: OpenAI GPTs: Creating Your Own Custom AI Assistants

Given by: Vanderbilt University


Learning objectives:

Welcome to the world of custom GPTs, where you can build intelligent systems that understand your domain, speak your language, and solve your unique challenges. This cutting-edge course will guide you through the exciting journey of creating and deploying custom GPTs that cater to diverse industries and applications. Imagine having a virtual assistant that can tackle complex legal document analysis, streamline supply chain logistics, or even assist in scientific research and hypothesis generation. The possibilities are endless!

Throughout the course, you’ll delve into the intricacies of building GPTs that can use your documents to answer questions, patterns to create amazing human and AI interaction and methods for customizing the tone of your GPTs. You’ll learn how to design and implement rigorous testing scenarios to ensure your AI assistant’s accuracy, reliability, and human-like communication abilities.

 

37) Course Name: 8 Most Controversial Terms in AI, Explained

Given by: Coursera


Learning objectives:

This is aimed at absolutely anyone interested in AI, from C-suite and software engineers to curious parents and engaged amateurs. No technical background is necessary, as no matter your background you will be much better informed about key (and controversial) terms in AI.

You will learn about 8 of the key terms used in AI — which are bandied around as if everyone should know them. Each term comes with complex and storied histories and implications, relevant to both practitioners and interested onlookers. What does ‘stochastic parrot’ actually mean, and are LLMs merely parrots? Do language models actually ‘reason’ and has the idea of ‘emergent behaviors’ been debunked already? Why is the term ‘open source’ being replaced with ‘open weights’ and what on earth is meant by ‘artificial general intelligence’? I challenge anyone to leave this short 3–5 hour course without a much more nuanced understanding of the key debates in AI.

 

38) Course Name: Advertising in the Age of Generative AI

Given by: UVA Darden


Learning objectives:

  • You will learn how to create a brand essence statement for brand awareness.

  • You will learn how to create a logo for a brand using Generative AI.

 

39) Course Name: ChatGPT for Beginners: Using AI for Market Research

Given by: Coursera


Learning objectives:

  • Practice how to use ChatGPT platform & its core features.

  • Design surveys & polls, and transcribe them into multiple languages

  • Generate Blog Post

 

40) Course Name: Customer Service in the Age of Generative AI

Given by: UVA Darden


Learning objectives:

  • You will learn how to evaluate and enhance a chatbot’s performance for marketing and customer service.

  • You will learn how to customize Generative AI for customer support and customer engagement.

 

41) Course Name: Notion for Beginners: Intro to AI Marketing Template Mastery

Given by: Coursera


Learning objectives:

  • Set up and customize a Notion workspace to manage marketing campaigns effectively, integrating AI capabilities to enhance efficiency.

  • Utilise ChatGPT to plan comprehensive marketing campaigns, generating strategic content and refining campaign elements to align with marketing goals.

  • Utilise NotionAI to plan comprehensive marketing databases, generate strategic content, and refine campaign elements to align with marketing goals.

 

42) Course Name: Digital Trends: AI, Metaverse, Persuasive Tech & Blockchain

Given by: University of California, Davis


Learning objectives:

Embark on a transformative journey through the digital landscape with our comprehensive course on Digital Transformation and Persuasive Technologies. Explore the intricate dynamics of social media business models and the profound impacts of artificial intelligence on user behavior. Learn to balance risks and benefits while analyzing the attention economy and algorithmic persuasion prevalent in today’s digital world. Delve into the future digital age, uncovering the potential of AI, the Metaverse, and Blockchain technology. Discover the transformative power of blockchain in revolutionizing information storage and property rights systems, alongside practical applications like cryptocurrency and smart contracts. Gain insights into the evolution of the web and its implications for digital interactions. Join us in mastering the essentials of digital transformation and prepare to thrive in the evolving digital landscape!

 

43) Course Name: CS50’s Introduction to Artificial Intelligence with Python

Given by: Harvard University


Learning objectives: This course explores the concepts and algorithms at the foundation of modern artificial intelligence, diving into the ideas that give rise to technologies like game-playing engines, handwriting recognition, and machine translation. Through hands-on projects, students gain exposure to the theory behind graph search algorithms, classification, optimization, machine learning, large language models, and other topics in artificial intelligence as they incorporate them into their own Python programs. By the course’s end, students emerge with experience in libraries for machine learning as well as knowledge of artificial intelligence principles that enable them to design intelligent systems of their own.

  • graph search algorithms

  • adversarial search

  • knowledge representation

  • logical inference

  • probability theory

  • Bayesian networks

  • Markov models

  • constraint satisfaction

  • machine learning

  • reinforcement learning

  • neural networks

  • natural language processing

 

44) Course Name: AI for Leaders

Given by: Babson College


Learning objectives:

  • How platform business models and AI technologies complement each other.

  • The characteristics of leaders that embrace AI-powered platform business models.

  • Where to look for data and what data is valuable to your business and AI.

  • How you can get started and the 5 steps for success — which we call PIVOT.

  • How your organization and team can catch up with today’s leaders.

  • The economics of these new technologies and business models.

  • The 7 attributes of AI-led organizations.

 

45) Course Name: Ideas To Lead — Business Transformation in the Age of AI

Given by: WOBI


Learning objectives: In this course, you will explore the very essence of human progress with influential researchers, business leaders, experts, and practitioners from diverse fields. Learn how to integrate Artificial Intelligence into your company’s culture, enhancing organizational capabilities, and cultivating strong relationships with your customers. Gain deep insights into AI’s impact on business, society, and your future, and get tools and actionable ideas to stay ahead in a rapidly changing world.

 

46) Course Name: Fundamentals of TinyML

Given by: Harvard University


Learning objectives:

  • Fundamentals of Machine Learning (ML)

  • Fundamentals of Deep Learning

  • How to gather data for ML

  • How to train and deploy ML models

  • Understanding embedded ML

  • Responsible AI Design

 

47) Course Name: Introduction to Artificial Intelligence

Given by: German University of Digital Science


Learning objectives:

  • What is AI? Examples of current applications.

  • How do computers process logic?

  • Symbolic AI basics

  • What are neural networks?

  • Understanding machine learning

  • Automatic feature processing in deep networks

  • Knowledge graphs

  • Bayesian networks

  • Ethic issues in AI

  • Starting a career in AI

 

48) Course Name: Digital Marketing and Artificial Intelligence (AI)

Given by: Nottingham Trent University


Learning objectives: You’ll gain expertise in integrating AI into digital marketing strategies, making you a valuable asset in any workplace. You’ll learn how to utilize AI tools to analyze big data, improve customer targeting, and personalize marketing efforts for a competitive edge.

Moreover, you’ll develop strategic insights and ethical considerations, ensuring that your AI implementations are both effective and compliant.

These skills will empower you to lead AI-driven initiatives, motivate and retain staff, and foster a culture of innovation and engagement within your team, crucial for achieving strategic business objectives.

 

49) Course Name: Marketing, Communication, and PR

Given by: Microsoft


Learning objectives: This course will equip you with the essential skills to integrate marketing and PR strategies, craft compelling messages, and utilize AI tools for optimal campaign execution. In this course, you will:

  • Define the core principles of marketing communication and its relationship with public relations, identifying both the synergies and key differences between the two disciplines in achieving communication goals.

  • Identify the various components that make up an integrated PR campaign, developing strategies for effectively integrating multiple communication channels and touchpoints to deliver a cohesive message across the campaign.

  • Describe the power of storytelling in crafting compelling PR messages that resonate with target audiences, and constructing engaging narratives tailored to various PR scenarios.

  • Use AI tools to enhance the effectiveness of communication and storytelling strategies, comparing traditional approaches with AI-assisted methods for communication and storytelling.

  • Develop a comprehensive blueprint for an effective campaign that applies your understanding of integrated PR campaigns and storytelling, integrating the streamlining of key PR processes using AI tools to optimize campaign execution. By the end of this course, you will have a deep understanding of how to combine marketing and PR principles, create engaging and impactful stories, and leverage AI tools to enhance your strategies.

 

50) Course Name: Elements of AI

Given by: University of Helsinki and Reaktor

Platform course link: https://www.elementsofai.com/


Learning objectives:

  • The courses are designed for everyone interested in AI, and no complicated math or programming skills are required.

  • Offers a user-friendly interface and engaging learning experience, with interactive elements and quizzes throughout the course

  • Highly flexible, allowing learners to progress at their own pace and complete the course on their schedule

  • In addition to the individual courses, there’s also an offering called “Elements of AI for Business,” which helps organizations create a shared understanding of AI to identify AI-powered business opportunities.

 

51) Course Name: AI For Everyone

Given by: DeepLearning.AI


Learning objectives:

- The meaning behind common AI terminology, including neural networks, machine learning, deep learning, and data science

- What AI realistically can — and cannot — do

- How to spot opportunities to apply AI to problems in your organization

- What it feels like to build machine learning and data science projects

- How to work with an AI team and build an AI strategy in your company

- How to navigate ethical and societal discussions surrounding AI


 

Conclusion

In an era dominated by AI, understanding its principles, applications, and implications is no longer a luxury but a necessity. By investing time in learning about AI, you can equip yourself with the skills to thrive in the digital age, contribute to ethical AI development, and shape the future of technology. The free online courses listed above offer an excellent starting point for your AI learning journey. So, what are you waiting for? Dive in and discover the exciting world of artificial intelligence!



 

Hello, I am Avy-Loren, specializing in strategic business consulting and Executive Advisory services catering to companies worldwide across diverse industries. My expertise lies in collaborating with startups, founders, and public company CEOs, guiding them toward achieving their personal and professional aspirations with a sense of respect and pride. Throughout the past decade, I have actively co-founded three companies and currently serve as a co-founder and COO/CSO of a tech venture. Additionally, I have made investments in early-stage startups as an Angel investor, acted as a consultant and advisor for a prominent US-based VC firm, and mentored countless individuals and startups. I also encourage you to follow me on Medium and share this article with anyone you believe would benefit from its valuable insights. Together, we can overcome obstacles and drive success in the ever-evolving business landscape.


FOLLOW ME ON Medium and….


 
 
 

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