First of all, almost everyone recognizes the impact of generative AI in the IT industry. In today’s digital age, online training courses are becoming increasingly popular among students looking to master new skills or enhance their existing ones.
Thank you for reading this post, don't forget to subscribe!Furthermore, LinkedIn has made 250 free AI courses available through its learning platform after discovering that most organizations are failing to upskill their personnel in AI. Additionally, LinkedIn also issued the 2024 Workplace Learning Report.
Best ai courses on linkedin learning provides a variety of online training courses aimed to help you improve your abilities and broaden your knowledge. In this post, we’ll look at the greatest LinkedIn Learning courses you can take to boost your career.
Why choose LinkedIn Learning for AI?
LinkedIn Learning is one of the first suppliers of online courses. Additionally, almost all of LinkedIn Learning’s courses are excellent. Furthermore, the teachers are straightforward and approachable. In addition, the platform includes closed captioning, transcriptions, and other accessible tools to guarantee that everyone may study at their own speed, regardless of learning style. Moreover, LinkedIn Learning also provides courses on accessibility best practices in a variety of sectors.
Furthermore, all 250 free AI courses are accessible on LinkedIn’s Learning Hub. Additionally, these artificial intelligence lessons cover seven languages: English, Brazilian Portuguese, French, German, Japanese, Mandarin, and Spanish. Lastly, LinkedIn data indicates a 1.7x (or 65%) increase in learning hours for the top 100 AI/Generative AI (GAI) courses between 2022 and 2023.
Top AI Courses on LinkedIn Learning:
These are the most popular AI courses on LinkedIn Learning this year, all of which use generative AI. You can take part in any of the course’s content for free until July 1, 2024.
What is generative AI?
Generative AI is transforming the way we create. It helps us conquer perilous and tough jobs. Then we may focus on the essence of our task. During this LinkedIn Learning course, we’ll utilize that tool to guide the development of your goal. Join me as we delve into this new creative revolution, which I am really enthusiastic about, and learn how everyone of us can play a role in this age of sophisticated technology.
General AI Literacy for Everyone:
For any professional who wants to learn about generative AI and responsible AI principles. Any expert may use it to enhance their grasp of AI in general. Learn about current AI subjects to prepare for the future industrial revolution. Discover the amazing realm of artificial intelligence.
Fundamentals of Responsible AI:
This learning route focuses on the core ideas of Responsible AI, frameworks for implementing them in a corporate organization, and methods for creating equality in AI systems. Learn the fundamental concepts of responsible AI.
Develop your fast engineering abilities:
This study route will teach you how language models function, how to interact with them, and how to improve your skills using advanced approaches. Today, you may start interacting seamlessly with fantastic language models. Develop excellent quick engineering skills.
Integrating Generative AI into Business Strategy:
Chris McKay’s course provides a complete roadmap for decision makers to properly integrate generative AI into their company strategy.
Develop professional agility and resilience in the age of AI:
In this online course, Chris Shipley explores how you may rethink your profession to adapt and succeed in the age of AI. Chris guides you through AI technologies and how they might affect the workplace, as well as strategies to proactively adapt to these technologies and establish a “future-ready career mindset.”
Generative AI for Specific Roles
Develop an aptitude for AI as a Senior Manager:
This four-hour course is designed to help senior managers decide whether and how to implement artificial intelligence in their organizations.
Develop Generative AI Skills for Business Professionals:
In this study route, you will discover new AI tools and methods that allow business professionals to operate quicker and more creatively while using the strengths and advantages of AI technologies.
Develop Generative AI Skills for Creative Professionals:
This allows you to speed up the brainstorming process, simplify boring activities, and extend your creative alternatives.
Developing Generative AI Skills for Developers:
This study route will introduce you to new AI tools and frameworks that allow developers to build quicker, simpler, and with greater AI capability.
Generative AI, Recruitment, and Talent Acquisition:
A fast 30-minute course that explains how AI may assist businesses with their hiring procedures.
Leveraging Generative AI in Finance and Accounting:
This less than an hour lecture explains how AI may affect accounting automation and financial forecasts.
ChatGPT for Web Developers:
is a 2.5-hour training for web developers that covers topics such as utilizing ChatGPT to debug code, produce display data on a web page, design a password generator, and more.
AI sessions for Python developers
Python is one of the most widely used languages among AI engineers. According to LinkedIn, the top five most sought-after technical talents in the United States include knowledge of essential programming languages often used in AI development (Python, Java, and SQL).
Generative AI for Python Developers:
This course will teach you how to utilize generative AI to construct next-generation Python apps, as well as the OpenAI API, which lets you design and configure your own AI assistant chatbot within an app.
Machine Learning with Python:
Fundamentals In this course, University of Notre Dame Analytics Associate Professor Frederick Nwanganga presents machine learning in an understandable manner and gives step-by-step instructions on how to get started with machine learning using Python.
SQL Server Machine Learning Services (Python):
Adam Wilbert explains how to use the Machine Learning Services plugin within SQL Server to improve statistical analysis, produce graphs like scatter plots and bar charts, and process tabular data.
Training Neural Networks in Python:
Eduardo Corpeño’s course, teaches students how to create algorithms and train their own neural networks using Python.
What are the best courses for beginners?
You can easily filter by difficulty level on Linkedin Learning. After searching for the chosen topic, just click on the “Level” filter to pick beginner, intermediate, or advanced.
Are the LinkedIn Learning courses free?
LinkedIn Learning courses are free if you have a Linkedin Premium account; otherwise, they are not. Sign up for any of the subscriptions and receive one month free.
This unique 30-day program differs from LinkedIn’s 30-day free trial in three key ways:
- You do not have to sign up on LinkedIn.
- You do not need a credit card.
- If you’ve already used up your free LinkedIn Learning trial, you may still study these courses and sign up for another 30-day free LinkedIn Learning trial thereafter.
Conclusions:
Additionally, Linkedin is simple to use, and the courses are built with students in mind, making it appropriate for professionals at all levels. Furthermore, continuously updated information allows students to keep current with industry trends and advances. Upon completion of any of the free courses, you will obtain a LinkedIn certification that you can use to demonstrate your new abilities. Be sure to check out the entire list of courses offered in the LinkedIn Learning Center.
In conclusion, these courses are only free for a short time, until April 5. Therefore, take advantage of this wealth of free educational resources while they are still available.