We may still be learning about the ways AI will change work, but there’s no doubt it’s here to stay. Given the current business climate, there’s no better way to upskill yourself than by learning about AI.
Below, I’ve rounded up the best free AI courses this November, so you can level up your understanding with the latest tools and guidance with industry experts.
Each course will teach you something different about the technology and, hopefully, give you the confidence to navigate today’s landscape.
Designing and Building AI Assistant Workflows with IBM
Summary:
- Ideal for those wanting to get hands-on with building and using AI assistants
- 5 modules, taking 3 weeks to complete (at 10 hours a week)
- Intermediate level
- Shareable certificate available upon completion
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AI is only as good as the instructions you give it. In this course, you’ll learn to build and use your own AI assistant, specifically for a designed business scenario.
If you’ve been waiting to see how an AI assistant can accelerate your professional role, this course is a solid investment. Using IBM watstonx Orchestrate, you’ll learn to describe the architecture of an AI assistant, including skills, tools, instructions, and routing logic.
Likewise, you’ll learn to connect assistants to enterprise data sources and write integration requirements for your IT teams. You’ll also design intake, triage, routing, and human-in-the-loop workflows.
When you enroll onto this course, you’ll also be enrolled onto the IBM Business Process Automation with AI Assistants Specialization.
AI Fluency for Creative Work with Anthropic
Summary:
- Ideal for creative professionals wanting to develop AI fluency
- 8 lessons, taking 5 hours to complete
- Beginner level
- Completion badge available
Balancing creativity with AI takes a lot of consideration. Anthropic understands this and has created this course for creatives to allow them to experiment with AI “while protecting what makes their work theirs.”
Specifically, this course helps creative individuals build practical skills to collaborate with AI through Anthropic’s 4D framework: Delegation, description, discernment, and diligence.
You’ll begin with no AI, and then start to use analytical tools like the Creative Value Lens and the Production Lens. Ultimately, the course asks users to carefully consider what they use AI for, and leaves room to question whether you need to use AI at all.
Human-AI Systems Integration with Coursera
Summary:
- Ideal for those looking to blend human collaboration with AI input
- 6 modules, 1 week to complete (at 10 hours a week)
- Advanced level, recommended professional experience and comfort with AI tools
- Shareable certificate available upon completion
While AI is advancing rapidly, humans remain an essential element of any system. Learning how to effectively balance AI input with human expertise is an essential lesson for any business leader today.
Luckily, this course will get you there. You’ll drive into how AI capability changes cascade across connected teams, identify and rank AI value-creation opportunities, and design human-AI handoff protocols and role-allocation frameworks.
Likewise, by the end, you’ll be able to quantify and communicate genuine productivity and value gains. With businesses focusing on AI ROI, this skill will be an incredibly useful one.
As well as being enrolled into this course, you’ll also be enrolled into the Human-Centered AI Transformation: Strategy & Ethics Professional Certificate. It’s also advised you have some professional experience and comfort with AI tools before starting.
AI in Society: Ethics, Leadership, and the Road Ahead with HP
Summary:
- Ideal for individuals that want to understand the ethical conversation around AI
- 6 modules, taking 2-4 weeks to complete
- Intermediate recommended, but beginners welcome
- Certificate available for paying learners
The ethical conversation around AI is becoming more and more important. As security threats ramp up, leaders should be educated on how they can fairly and safely implement AI.
This course covers all bases: AI’s major security threats, its role in augmenting the workforce, the AI regulatory landscape (including the EU AI Act), the alignment problem and the ongoing debate around Artificial General Intelligence (AGI).
You’ll also understand how bias enters AI systems and how to build fairer ones, learn about breakthrough AI applications, and how to apply responsible AI principles in your own work and life.
Like other edX courses, you can take this course for free, but you’ll need to audit it. Certificates are only available for paying learners.
Why You Should Invest in Free AI Courses
AI is moving at an incredible pace, despite calls from leaders to slow it down. It can be disorienting trying to keep track of what the technology is doing next, and take that from someone who reports on it every day.
Free AI courses are an easy, flexible way to learn more about AI from the comfort of your home. Many of them address and provide insight into the issues facing business leaders today, such as AI’s security threat, and how to balance human collaboration with AI input.
By keeping track of these courses, you can invest in AI with confidence, and carry this assurance with you to your organization.
