By now, almost everyone knows about the impact of creative AI on the tech industry. And it’s not all hype: GenAI has created real benefits and productivity gains. But logging into ChatGPT Plus and asking the DALL-E 3 to draw a portrait of each state is easy, if a bit tedious, so you can do a lot with AI — if you know how. How.
Also: Chat GPT can now read your replies aloud – how to listen to them.
And that’s where learning resources come in. For the past few months, I’ve been highlighting courseware offerings that are both free and good. Sure, there are plenty of people trying to take your money in exchange for training ranging from mediocre to great. But instead of encouraging you to pay your hard-earned benjamins, I’m highlighting a bunch of really cool ones. free Courseware offerings.
LinkedIn Learning is one of the original online courseware providers. Started by Lynda Weinman nearly 30 years ago, the site was known as Lynda.com until it was acquired by LinkedIn in 2015. I have been a subscriber to this service since the early days, and now I get my subscription as an alumni. My grade school. LinkedIn Learning’s courses are almost all solid and its instructors are clear and friendly.
Also: Best AI Image Generators: Tested and Reviewed
as usually, The service costs $39/mo. $19.95/month if you sign up to pay monthly, and $19.95/month if you pay upfront for a year. There are also team projects. However, as of today, LinkedIn is opening 250 AI courses a month, so that everyone can learn for free.
How is it different from LinkedIn’s normal free trial?
This special 30-day program differs from LinkedIn’s free 30-day trial in several important ways:
- You don’t need to register with LinkedIn.
- You don’t need a credit card.
- If you’ve already used up your free LinkedIn Learning trial time, you can still take these courses, and you can sign up for a free LinkedIn Learning trial after taking these courses, for a separate 30-day period. As.
I have to give a big shout out to LinkedIn for this offer. Usually, companies offer free loss guides to customers as a way to gather a mailing list for later promotion. LinkedIn isn’t doing that. If you want to remain completely anonymous, not give up any of your personal details, and not be sold later down the line, you can!
Also: How to Add a New Credential to Your LinkedIn Profile
It turns what I originally thought was just another marketing scheme into a perfectly good one. It’s up to you to take as many courses as you can in the next 30 days, but if you can give up enough sleep, you can learn a lot for free.
The classes I took.
In this article, I have identified 14 courses that I think are the most interesting. My favorite (though I’m partial because the author is a colleague) has to be Pam Baker’s ChatGPT Tips for Help Desk. A seasoned technology journalist, Pam is also its author. Chat GPT for dummies. She knows her stuff.
I did the full course. In about an hour and a half, she covers not only why a chatbot is ideally suited for a help desk, but also how to use APIs to connect the two technologies. She goes into an important deep dive on how to prevent fraud, which is important if you want to deploy self-service help solutions for customers. And she explores many help desk scenarios, including the pros and cons of human help desk agents using ChatGPT in real time.
Also: What is AIPC? (And should you buy one?)
I also took two hours of machine learning with Python: Foundations, with an excellent instructor — Prof. Frederick Nwanganga — who was previously unknown to me. I have to hand it over to LinkedIn. They choose people who know how to teach.
I learned a lot in this course, especially about collecting and preparing data for machine learning. I was also able to expand my Python programming knowledge, specifically on how to build machine learning models in Python. In just two hours, I felt like I got a friendly and comprehensive brain dump.
There are many other helpful courses. Let’s break them down into categories and look at some examples.
General AI literacy
These are both courses that any professional can take to improve their overall understanding of AI.
Integrating generative AI into business strategy
4.7 stars (97 ratings)
In this course, Chris McKay presents a comprehensive guide for decision makers to effectively understand, evaluate, and implement generative AI in their organization.
Building career agility and flexibility in the age of AI
4.8 stars (244 ratings)
In this course, Chris Shipley examines how you can reimagine your career to adapt and succeed in the age of AI. Chris walks you through AI technologies and how they can impact work, ways to proactively adopt these technologies, and the skills to develop a “future-proof career mindset.”
AI courses for recruiting, finance, and support professionals
AI has some very special capabilities that can be applied in a wide range of professional fields. I chose three — recruitment, support and finance — to show you how you can learn AI in the context of your profession.
Generative AI, Recruitment, and Talent Acquisition
4.7 stars (1,281 ratings)
Join Glen Cathey as he explores what’s changing the world of recruiting and talent acquisition, and what the future holds for the space as waves of creative AI and automation emerge. Glen explores how to navigate this complex, ever-evolving space as a hiring manager or recruiting lead, with tips on evaluating potential vendor solutions, incorporating new cutting-edge tools, and more. Advises about
Leveraging Generative AI in Finance and Accounting
4.7 stars (349 ratings)
This course provides a comprehensive exploration of generative AI in finance and accounting. Instructor Glenn Hopper covers the fundamental concepts, models, ethical considerations and practical applications of generative AI with a focus on financial forecasting and analysis.
Chat GPT Tips for Help Desk
4.5 stars (47 ratings)
In this course, Pam Baker covers everything from using ChatGPT to strategic planning, instant engineering, and agent scripting, self-help repository and problem solving, as well as other topics of high interest to help desk managers.
For tech professionals and power users
I’ve chosen this set of five courses for professionals who need to work with large language models (LLMs) to build or modify AI-powered business investments. You’ll need some serious jack credit as a prerequisite.
Generative AI: An Introduction to Big Language Models
4.7 stars (1,274 ratings)
In this course, Jonathan Fernandes walks you through the key LLMs developed since OpenAI first released GPT-3, as well as the key contributions of each of these LLMs.
Chat GPT for web developers
4.7 stars (362 ratings)
Join Sandy Ludowski for an introduction to ChatGPT for web developers. Explore the basics of how ChatGPT works and how to get started using it to generate code. Learn to interact with the ChatGPT UI to build fully functional web applications using JavaScript and ReactJS.
Create your GPT
(so new it has no rating)
Join data scientist Alina Zhang as she builds three custom GPTs. Alina dives into cutting-edge techniques, including the Pentagram framework for rapid engineering, chain-of-thought, few-shot learning, and user intent detection. It also provides strategies for protecting against immediate injection attacks.
Securing the use of generative AI in your organization
4.8 stars (85 ratings)
This course equips you with the knowledge and skills to navigate the evolving landscape of AI security, helping you mitigate risks, protect sensitive information, and strengthen your organization’s digital resilience. Enables leveraging generative AI with confidence.
Azure OpenAI: Creative AI models and how to use them
4.8 stars (217 ratings)
In this course, Sammy Deprez introduces you to Azure OpenAI services and dives into the available models, including GPT models, embedding models, codec models, and DALL-E models.
AI courses for Python coders
Python is one of the most popular languages ​​among AI developers. Here I look at four courses that can help you integrate your Python knowledge with AI. According to Ya Su, VP of engineering and head of data and AI at LinkedIn, “Skills in the key programming languages ​​commonly used in AI development – ​​Python, Java, and SQL – are the top five most important. Among the skills required are technical aspects in the US.”
Generative AI for Python developers
4.7 stars (22 ratings)
Join Sandy Ludosky to learn how to use generative AI to build next-generation Python applications, including the OpenAI API, which allows you to build and customize your own AI assistant chatbot directly within the application. Gives.
Machine Learning with Python: The Basics.
4.7 stars (4,060 ratings)
In this course, Frederick Nwanganga, Associate Professor of Analytics at the University of Notre Dame, introduces machine learning in an accessible way and provides a step-by-step guide on how to get started with machine learning with Python.
SQL Server Machine Learning Services: Python
4.8 stars (494 ratings)
Adam Wilbert shows how to use high-performance Python libraries and the Machine Learning Services add-on to streamline data analysis directly within SQL Server, generate graphics such as scatterplots and bar charts, and To process tabular data.
Training Neural Networks in Python
4.6 stars (219 ratings)
This course by Eduardo Corpeño teaches the inner workings of neural networks in Python, allowing learners to build algorithms and learn the steps needed to build and train their own neural networks from scratch using Python. There is an opportunity.
More free AI training
This article is the latest in my ongoing series of free AI training spotlights. Here are four more:
I believe AI is becoming a game changer — but with limitations and caveats. Take advantage of this cornucopia of free courseware while it’s still available.
Have you taken any courses or used any of these training programs? what did you learn Are you thinking about taking LinkedIn Learning courses? Which ones are you most interested in? Let us know in the comments below.
You can follow my daily project updates on social media. Be sure to subscribe to my weekly update newsletter on Substack, and follow me on Twitter. @DavidGewirtzon Facebook at Facebook.com/DavidGewirtz, on Instagram at Instagram.com/DavidGewirtz, and on YouTube at YouTube.com/DavidGewirtzTV.