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.

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

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

Skills you'll gain: Responsible AI, Google Gemini, LLM Application, AI Enablement, AI Product Strategy, Stakeholder Analysis, Machine Learning
Intermediate · Specialization · 1 - 3 Months

Google Cloud
Skills you'll gain: Google Gemini, Retrieval-Augmented Generation, Generative AI, AI Enablement, AI Orchestration, Customer experience improvement, Enterprise Security, Artificial Intelligence, LLM Application, Decision Making, Cloud Infrastructure, Organizational Strategy, Cloud Computing, Cloud Platforms, Customer experience strategy (CX), Innovation, MLOps (Machine Learning Operations), Change Management, Collaboration
Beginner · Specialization · 3 - 6 Months

Google Cloud
Skills you'll gain: Prompt Engineering, Retrieval-Augmented Generation, LLM Application, Generative AI, Multimodal Prompts, Large Language Modeling, Google Cloud Platform, Embeddings
Intermediate · Course · 1 - 3 Months

Google Cloud
Skills you'll gain: Large Language Modeling, Prompt Engineering, LLM Application, Generative AI, Artificial Intelligence and Machine Learning (AI/ML), Multimodal Prompts, Google Cloud Platform, Artificial Intelligence, Supervised Learning, Machine Learning
Intermediate · Course · 1 - 3 Months

Google Cloud
Skills you'll gain: Generative AI, Prompt Engineering Tools, Prompt Engineering, Google Cloud Platform, Large Language Modeling, Cloud API, Cloud Computing
Beginner · Project · Less Than 2 Hours

Google Cloud
Skills you'll gain: Google Gemini, Retrieval-Augmented Generation, Gemini, Embeddings, Generative AI, Predictive Modeling, Vector Databases, Big Data, Data Analysis, Exploratory Data Analysis, Artificial Intelligence and Machine Learning (AI/ML), AI Enablement, SQL, Python Programming, Data Preprocessing, Customer Relationship Management, Google Cloud Platform, Data Visualization Software, Machine Learning
Beginner · Specialization · 1 - 4 Weeks

Google Cloud
Skills you'll gain: Responsible AI, AI Security, Information Privacy, Generative AI, Data Ethics, Google Cloud Platform, Data Loss Prevention, Data Security, Cloud Security, Artificial Intelligence and Machine Learning (AI/ML), Safety and Security, Machine Learning, Artificial Intelligence, Interoperability, Data Governance, Model Evaluation, Model Deployment, Ethical Standards And Conduct, Encryption, Human Centered Design
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Flutter (Software), Gemini, Generative AI Agents, LLM Application, Generative AI, Mobile Development, Google Cloud Platform
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Retrieval-Augmented Generation, Embeddings, Google Gemini, Vector Databases, Generative AI, Google Cloud Platform
Advanced · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: Prompt Engineering, Generative AI, Google Cloud Platform, LLM Application, Large Language Modeling, Cloud Computing
Beginner · Project · Less Than 2 Hours
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.‎