Generative AI has evolved from a buzzword into a powerful resource that businesses are eager to adopt, enhancing productivity, igniting creativity, improving efficiency, accelerating analysis, and supporting decision-making processes. However, many organizations face challenges in realizing its full potential. Currently, 65% of senior IT leaders report a lack of preparedness to implement generative AI, as highlighted by research from Salesforce. To bridge this knowledge gap, here’s a curated list of the top ten free generative AI courses available, tailored to meet the diverse needs of professionals and businesses alike.
1. **For Beginners: Introduction to Generative AI**
This introductory course by Google Cloud provides a comprehensive understanding of generative AI. Participants will explore what generative AI entails, its practical applications, and how it stands apart from traditional machine learning. The course also showcases Google tools that learners can leverage to create their own generative AI applications, making it manageable to complete in just one afternoon.
**Access the course here:** [Google Cloud’s Intro to Generative AI](https://www.cloudskillsboost.google/course_templates/5362)
2. **For Different Age Groups: IBM SkillsBuild**
IBM SkillsBuild presents free courses that cover the fundamentals of AI, chatbots, and AI ethics, now including a newly launched course specifically focused on generative AI. Topics range from prompt writing to enhancing customer service with AI solutions. Courses are tailored for different age groups: high school students, college attendees, and adults. Upon completion, participants can earn IBM-branded digital credentials.
**Explore IBM SkillsBuild here:** [IBM SkillsBuild](https://skillsbuild.org/learners)
3. **Generative AI for Everyone**
Taught by AI expert Andrew Ng, co-founder of Google Brain, this course breaks down the essentials of generative AI. Students will learn about its lifecycle, from conception through to launch, and develop skills in crafting effective prompts. The course also covers generative AI tools, large language models, AI strategy, and overall productivity enhancement.
**Access Generative AI for Everyone:** [Generative AI for Everyone](https://www.deeplearning.ai/courses/generative-ai-for-everyone/)
4. **For the Business-Minded: AI For Business Specialization**
Offered by the Wharton School at the University of Pennsylvania, this specialization combines AI fundamentals with strategic insights. Covering key topics such as AI applications in marketing, finance, and people management, this flexible course, available in eight languages, requires no prior experience and can be completed in approximately one month, dedicating 10 hours per week. A certificate of completion can enhance your LinkedIn profile and resume.
**Access the AI For Business Specialization:** [AI For Business Specialization](https://platform.onlinelearning.upenn.edu/offering/ai-for-business-specialization-a0Q2E00000MTwrmUAD)
5. **A Comprehensive Learning Path: Google’s Generative AI Learning Path**
This extensive learning path consists of ten courses designed for various knowledge levels, from introductions to advanced concepts like responsible AI and ethics. Each lesson spans about eight hours, allowing for flexibility and self-paced learning to fit around your professional commitments.
**Start Google’s Generative AI Learning Path:** [Google’s Generative AI Learning Path](https://www.cloudskillsboost.google/paths/1186)
6. **ChatGPT Prompt Engineering Course**
Crafting the right prompts is essential to maximize the effectiveness of generative AI models. This course teaches participants how to master prompt engineering, utilizing techniques to elicit the best possible results from AI systems.
**Access the ChatGPT Prompt Engineering Course:** [ChatGPT Prompt Engineering Course](https://www.classcentral.com/classroom/youtube-chatgpt-prompt-engineering-course-1462907)
7. **Generative AI with Large Language Models**
For a thorough exploration of generative AI techniques, this course offers practical skills that enhance understanding of large language models. Taught by industry professionals from AWS, the course spans 16 hours and can be audited for free. A certificate is available for a nominal fee.
**Enroll in Generative AI with Large Language Models:** [Generative AI with Large Language Models](https://www.coursera.org/learn/generative-ai-with-llms)
8. **Learn PyTorch**
As one of the leading deep learning frameworks, PyTorch is key in numerous applications, including Tesla's AutoPilot. This LinkedIn Learning course focuses on deep learning fundamentals using PyTorch, complete with troubleshooting guidance and a specific emphasis on image recognition models, applicable across various AI domains.
**Start PyTorch Essential Training:** [PyTorch Essential Training](https://www.linkedin.com/learning/pytorch-essential-training-deep-learning/welcome?u=22780829)
9. **Responsible AI: Bias Mitigation & Fairness Criteria**
Given the tendency of generative AI to produce unexpected results, this course from Amazon's Machine Learning University is vital. The 30-part series covers fairness criteria, bias measures, and mitigation strategies, all available on YouTube, making it accessible for learners to engage with at their own pace. Additionally, all code examples are provided via GitHub.
**Access the Responsible AI course:** [Responsible AI - Bias Mitigation & Fairness Criteria](https://www.youtube.com/watch?v=utRsidz8TJM&list=PL8P_Z6C4GcuVMxhwT9JO_nKuW0QMSJ-c)
10. **Enhance Your Creativity: Master Stable Diffusion**
With the rise of AI image generation tools like Midjourney and DALL-E 3, this one-hour course empowers marketers and creative professionals to harness Stable Diffusion. Participants will learn how to generate high-quality AI images for marketing materials effectively.
**Access the Stable Diffusion Course:** [Stable Diffusion - Master AI Course](https://chamferzone.gumroad.com/l/StableDiffusionMasterAICourse)
These diverse courses provide an excellent opportunity for professionals to deepen their understanding of generative AI and its applications, ultimately enabling businesses to harness this transformative technology for competitive advantage.
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