Generative AI has evolved beyond mere buzzwords and is now a critical tool for businesses aiming to enhance productivity, creativity, efficiency, rapid analysis, and decision-making. Despite its potential, many IT leaders feel unprepared to implement generative AI, according to Salesforce research. To bridge this knowledge gap, AI Business presents a curated list of the top 10 free or low-cost generative AI courses, covering a spectrum of needs for businesses.
Introduction to Generative AI (Google Cloud):
A beginner-friendly course providing introductory resources for generative AI.Covers the basics, usage, and distinctions from traditional machine learning.Outlines Google tools for developing generative AI apps.Short and can be completed in an afternoon.IBM SkillsBuild:
Free coursework tailored for different age groups (high school, college, adults).Covers AI fundamentals, chatbots, and AI ethics.Recently launched generative AI course emphasizing prompt writing, customer service improvement, and practical applications.Participants earn IBM-branded digital credentials.Generative AI for Everyone (Andrew Ng):
Taught by Andrew Ng, co-founder of Google Brain and Stanford University adjunct professor.Explores generative AI concepts, use cases, and project lifecycle.Addresses AI tools, large language models, AI strategy, and productivity.Companion course "AI for Everyone" also available.AI For Business Specialization (Wharton School):
Business-oriented course blending AI fundamentals with strategic considerations.Topics include AI Fundamentals, AI Applications in Marketing and Finance, People Management, and AI Strategy/Governance.Available in eight languages with no prior experience required.Flexible course with a $39 fee, providing a certificate for LinkedIn profiles and resumes.Google’s Generative AI Learning Path:
A comprehensive learning path with 10 courses catering to various knowledge levels.Covers basic sessions leading to conceptual considerations like responsible AI and ethics.Flexible scheduling for learners to balance with work commitments.ChatGPT Prompt Engineering Course:
Emphasizes the importance of prompt engineering for effective generative AI model usage.Focuses on techniques for optimal results.Generative AI with Large Language Models (Deeplearning.ai):
A 16-hour course offering practical skills and understanding of generative AI.Taught by AWS AI practitioners building and deploying AI in businesses.Free to audit, with a $49 cost for a certificate.Learn PyTorch (LinkedIn Learning):
Teaches the basics of deep learning using the popular PyTorch framework.Focuses on image recognition with applications across various AI domains.Suitable for those seeking a more technical understanding.Responsible AI - Bias Mitigation & Fairness Criteria (Amazon MLU):
A free 30-part course addressing fairness criteria and bias mitigation in generative AI.Covers model monitoring, logic regression considerations, and model evaluation metrics.Entirely hosted on YouTube with code available via GitHub.Master Stable Diffusion:
A one-hour course focusing on AI image generation tools like Stable Diffusion.Enables users to generate high-quality AI images for marketing and creative purposes.For businesses and individuals eager to harness the power of generative AI, these courses offer a diverse range of options to enhance skills and stay ahead in the ever-evolving AI landscape.
