What can you do with Generative AI?
Save time
Grow your career
Stand out
Essential GenAI skills for data professionals
Discover practical ways to use GenAI as a data analyst, data scientist, or data engineer from experts you can trust. Master GenAI for data preparation, visualization, and reporting through prompt engineering, LLM app development, and data augmentation techniques.
GenAI tools to streamline data workflows
Learn how GenAI can enhance data solutions, from leveraging LLMs for analysis to implementing vector search. Build skills in large language model (LLM) fine-tuning, machine learning, artificial intelligence systems, and more.
Take your GenAI skills to the next level with DeepLearning.AI
Practice your new GenAI skills with the world's AI leaders at DeepLearning.AI in collaboration with OpenAI, AWS, Hugging Face, and more. Technologies and concepts you'll work with include: ChatGPT, RAG, Hugging Face, LangChain.js, and AI Agents.
One course or many?
The choice is yours. Pick one or try Coursera Plus for more.
One subscription gives you access to trusted GenAI Experts, skills, certificates, and AI-powered guidance from Coursera Coach.* Discover how to save time with GenAI and distinguish hype from reality, all while earning certificates that showcase your GenAI expertise.
GenAI reality check: A helpful tool, but you’re essential
While GenAI can do a lot, it can’t do everything data professionals need to do.
Where GenAI helps
- automate repetitive tasks
- syntax support
- help with data cleaning
Where humans are needed
- interpreting results
- validating models
- communicating insights to stakeholders
More ways to adapt and grow as a data professional
Foundational knowledge of statistics, machine learning, and critical thinking skills remain essential. Pairing these with GenAI can enhance the way you solve problems and generate new ideas.
Common questions about data and GenAI
How should I balance traditional AI skills with GenAI skills?
Explore the advantages and disadvantages of AI and Gen AI so you know when each is best for the use case you’re working on.Learn moreShould I pursue a career as a Machine Learning Engineer or Data Scientist?
Machine learning and data science are both in high demand. Now is a great time to pursue a career in one of these growing fields. Learn more about each path, what skills you will need, and how much you can earn in a related role.Learn moreWhat are top AI jobs to consider?
With the rise of GenAI, you may be wondering what jobs are available in AI generally and how to land one. Get an overview of artificial intelligence careers, and the skills and education you’ll need to pursue them.Learn more
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Sources Referenced
- Visier. Survey Report: Closing the Global Skills Gap (2023)
- LinkedIn. Future of Work Report (2023)
- Microsoft and LinkedIn. 2024 Work Trend Index Annual Report