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, ChatGPT, Prototyping, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Machine Learning
Beginner · Course · 1 - 4 Weeks

DeepLearning.AI
Skills you'll gain: Prompt Engineering, Responsible AI, Generative AI, Large Language Modeling, ChatGPT, AI Product Strategy, AI Security, Artificial Intelligence, Automation, Cloud Applications, Social Impact
Beginner · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: Prompt Engineering, Generative AI Agents, Retrieval-Augmented Generation, Google Gemini, Responsible AI, Generative AI, Google Workspace, Google Cloud Platform, Gemini, AI Product Strategy, AI Enablement, AI Workflows, Productivity Software, AI Security, Unstructured Data, Tool Calling, Data Literacy, Artificial Intelligence, Cloud Computing, Collaboration
Beginner · Professional Certificate · 3 - 6 Months

Google Cloud
Skills you'll gain: Generative AI, Google Cloud Platform, Artificial Intelligence, Machine Learning Methods
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Prompt Engineering, Prompt Patterns, Generative AI, Generative Model Architectures, ChatGPT, Responsible AI, OpenAI, AI Product Strategy, Data Ethics, Large Language Modeling, Leadership and Management, AI Enablement, Business Leadership, Strategic Leadership, Business Ethics, Hugging Face, Model Deployment, Legal Risk, IBM Cloud, Prototyping
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Prompt Engineering, Exploratory Data Analysis, Prompt Patterns, LangChain, Large Language Modeling, Retrieval-Augmented Generation, Model Evaluation, Unsupervised Learning, Generative Model Architectures, PyTorch (Machine Learning Library), ChatGPT, Generative AI, Restful API, LLM Application, Keras (Neural Network Library), Data Transformation, Supervised Learning, Responsible AI, Vector Databases, Data Import/Export
Beginner · Professional Certificate · 3 - 6 Months

Skills you'll gain: Prompt Engineering, Responsible AI, Generative AI, Data Ethics, AI Product Strategy, AI Enablement, Artificial Intelligence, Risk Analysis, Hybrid Cloud Computing, Business Leadership, Risk Mitigation, Compliance Training, IBM Cloud, Cloud Computing Architecture, Strategic Leadership, Data Strategy, Brainstorming, Return On Investment, LLM Application, Governance
Intermediate · Specialization · 1 - 3 Months

Vanderbilt University
Skills you'll gain: Prompt Engineering, ChatGPT, Prompt Patterns, Ideation, Verification And Validation, Data Presentation, LLM Application, Productivity, OpenAI, Generative AI, Document Management, Expense Reports, Responsible AI, AI Enablement, Image Analysis, Creativity, Large Language Modeling, Expense Management, Organizational Skills, Artificial Intelligence
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Adobe Express, Responsible AI, Generative AI, Graphic Design, Prompt Engineering, Image Analysis, Artificial Intelligence, AI Workflows, Creativity, Data Integrity
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Prompt Engineering, Large Language Modeling, Generative AI, Retrieval-Augmented Generation, Generative Model Architectures, PyTorch (Machine Learning Library), Vector Databases, LLM Application, Generative Adversarial Networks (GANs), Embeddings, Natural Language Processing, Hugging Face, Transfer Learning, Data Pipelines, Recurrent Neural Networks (RNNs), Data Ethics, Data Preprocessing, Artificial Intelligence, Text Mining, Performance Tuning
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Large Language Modeling, Responsible AI, AI Security, Artificial Intelligence, Software Development Tools, Software Testing, Test Automation, Software Development, DevSecOps, CI/CD, Natural Language Processing, Prototyping, Software Engineering, Artificial Intelligence and Machine Learning (AI/ML), AI Workflows, Deep Learning
Intermediate · Specialization · 1 - 3 Months

Skills you'll gain: Generative AI, Generative Model Architectures, OpenAI, Hugging Face, Large Language Modeling, Prompt Engineering, Model Deployment, IBM Cloud, Deep Learning, Natural Language Processing
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.‎