Generative AI courses can help you learn how models create text, images, and other outputs using patterns learned from data. You can build skills in prompt design, model evaluation, and understanding how generative systems behave across tasks. Many courses introduce tools such as Python libraries, APIs, or model interfaces that support experimenting with generation and applying core concepts.

Skills you'll gain: Generative AI, Health Care Procedure and Regulation, Healthcare Ethics, Data Ethics, Responsible AI, Healthcare Industry Knowledge, AI literacy, Artificial Intelligence, Health Informatics, Health Technology, Clinical Practices, Medical Imaging, AI Integrations, Image Analysis, Natural Language Processing, Decision Support Systems
★ 4.1 (48) · Beginner · Course · 1 - 3 Months

Skills you'll gain: Healthcare Project Management, Clinical Documentation, Responsible AI, Resource Utilization, Lean Methodologies, Operational Efficiency, Data Ethics, Health Care Administration, Operations Management, Operational Excellence, Generative AI, Informed Consent, Project Risk Management, Process Improvement, Continuous Improvement Process, AI Security, Health Care Procedure and Regulation, Healthcare Ethics, Generative AI Agents, Health Informatics
★ 4.3 (72) · Intermediate · Specialization · 3 - 6 Months

University of Glasgow
Skills you'll gain: Responsible AI, Data Ethics, Healthcare Industry Knowledge, Predictive Modeling, Healthcare Ethics, Generative AI, Prompt Engineering, Dental Informatics, Health Technology, Artificial Intelligence, Deep Learning, Clinical Informatics, Artificial Neural Networks, Health Informatics, Medical Imaging, Augmented and Virtual Reality (AR/VR), Radiology
★ 4.7 (17) · Beginner · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Prompt Engineering, Large Language Modeling, LLM Application, ChatGPT, Generative AI, Responsible AI, Healthcare Ethics, Public Health, Data Ethics, Public Health and Disease Prevention, Health Policy, Artificial Intelligence, Microsoft Copilot, Health Equity
★ 4.7 (13) · Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Clinical Documentation, Electronic Medical Record System, Responsible AI, Revenue Cycle Management, No-Code Development, Medical Records, Electronic Medical Record, Medical Billing and Coding, Patient Education And Counseling, Health Information Management and Medical Records, Patient Education and Support, Health Informatics, AI Integrations, AI Personalization, Health Technology, Generative AI, Business Process Automation, Risking, Healthcare Industry Knowledge, Smart Goals
Intermediate · Course · 1 - 3 Months

Vanderbilt University
Skills you'll gain: Meal Planning And Preparation, AI Personalization, ChatGPT, Cooking, Calendar Management, Generative AI, Creative Thinking, Generative AI Agents, Prompt Engineering, AI Integrations
★ 4.8 (28) · Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Clinical Documentation, Generative AI, Medical Coding, Health Care Procedure and Regulation, Patient Coordination, Generative AI Agents, ChatGPT, Healthcare Project Management, Care Coordination, Electronic Medical Record, Health Informatics, Patient Communication, Healthcare Ethics, Health Information Management, Business Process Automation, Prompt Engineering, Operational Efficiency, Compliance Management, Technology Roadmaps, Change Management
★ 4.2 (56) · Intermediate · Specialization · 1 - 3 Months

Skills you'll gain: Empathy, ChatGPT, Active Listening, Decision Making, Data Ethics, Stress Management, Mindfulness, Consumer Behaviour, Responsible AI, Emotional Intelligence, Goal Setting, Prompt Engineering, Health And Wellness Coaching, Human Computer Interaction, Artificial Intelligence, Critical Thinking, Data Analysis, Communication, Psychology, Generative AI
Beginner · Specialization · 3 - 6 Months

Coursera
Skills you'll gain: Clinical Documentation, Generative AI Agents, Healthcare Ethics, Responsible AI, Data Ethics, AI Integrations, Medical Records, Medical History Documentation, Health Information Management and Medical Records, Health Informatics, Health Technology, System Implementation
Intermediate · Course · 1 - 4 Weeks
Skills you'll gain: Responsible AI, Data Ethics, Medical Privacy, Clinical Documentation, Generative AI, Generative AI Agents, Clinical Informatics, Patient-centered Care, Health Insurance Portability And Accountability Act (HIPAA) Compliance, AI Workflows, AI Personalization, Regulatory Compliance, Patient Flow, Healthcare Industry Knowledge, Personally Identifiable Information, AI Integrations, Healthcare Ethics, Health Technology, Health Care Procedure and Regulation, Innovation
Intermediate · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Informed Consent, Data Ethics, Healthcare Ethics, Medical Privacy, Responsible AI, Health Insurance Portability And Accountability Act (HIPAA) Compliance, Healthcare Industry Knowledge, Generative AI, Patient-centered Care, Patient Safety, AI Integrations
★ 4.8 (6) · Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Generative AI, Health Informatics, Generative AI Agents, Diagnostic Tests, Prompt Engineering, Responsible AI, Patient Evaluation, Health Technology, Clinical Informatics, Data Integration, AI Integrations, Medical Imaging, Healthcare Ethics, LLM Application, Large Language Modeling
Beginner · Course · 1 - 4 Weeks
Generative AI refers to a subset of artificial intelligence that focuses on creating new content, whether it be text, images, music, or other forms of media. This technology is important because it has the potential to revolutionize various industries by automating creative processes, enhancing productivity, and enabling personalized experiences. As businesses increasingly adopt generative AI, understanding its capabilities and applications becomes crucial for anyone looking to stay relevant in the job market.‎
Careers in generative AI are diverse and growing rapidly. You can explore roles such as AI Engineer, Data Scientist, Machine Learning Engineer, and Software Developer, among others. Additionally, positions like AI Product Manager and Generative AI Consultant are emerging as organizations seek professionals who can effectively integrate this technology into their operations. The demand for skilled individuals in this field is expected to continue rising, making it a promising area for career development.‎
To succeed in generative AI, you should develop a strong foundation in programming languages such as Python or Java, as well as a solid understanding of machine learning concepts. Familiarity with AI frameworks and tools, such as TensorFlow or PyTorch, is also beneficial. Additionally, skills in data analysis, natural language processing, and creative thinking will enhance your ability to work with generative AI technologies effectively.‎
There are several excellent online courses available for learning about generative AI. For instance, the AWS Generative AI Applications Professional Certificate provides practical insights into applying generative AI in real-world scenarios. Another option is the IBM Generative AI Engineering Professional Certificate, which focuses on engineering aspects. These courses can help you build a solid understanding of generative AI principles and applications.‎
Yes. You can start learning generative AI on Coursera for free in two ways:
If you want to keep learning, earn a certificate in generative AI, or unlock full course access after the preview or trial, you can upgrade or apply for financial aid.‎
To learn generative AI, start by identifying your learning goals and the specific areas of interest within the field. Enroll in online courses that match your objectives, such as those focusing on programming, machine learning, or specific applications of generative AI. Engage with hands-on projects to apply what you learn, and consider joining online communities or forums to connect with others in the field. Consistent practice and exploration will help you build confidence and expertise.‎
Generative AI courses typically cover a range of topics, including the fundamentals of machine learning, neural networks, and natural language processing. You may also learn about specific generative models, such as GANs (Generative Adversarial Networks) and VAEs (Variational Autoencoders). Additionally, courses often explore practical applications, ethical considerations, and the integration of generative AI into various industries.‎
For training and upskilling employees, courses like the Generative AI for Software Development Skill Certificate and the Microsoft 365 with Generative AI Professional Certificate are excellent choices. These programs focus on practical skills and applications, making them suitable for organizations looking to enhance their workforce's capabilities in generative AI.‎