What skills can I learn from Generative AI courses on Coursera?

Coursera’s Generative AI courses provide learners with the skills to engage with one of the most innovative areas of artificial intelligence : Understanding the principles behind generative models like GANs (Generative Adversarial Networks) and VAEs (Variational Autoencoders). Techniques for creating synthetic data, artworks, and realistic simulations. Application of generative AI in various domains such as music, video, and text. Programming skills to develop generative models using TensorFlow and PyTorch . Ethical considerations in deploying generative AI technologies. Best practices for training and optimizing generative models to ensure quality and efficiency.

Do I need prior experience in AI or machine learning to start learning Generative AI on Coursera?

Generative AI courses on Coursera are structured to accommodate learners with different levels of expertise: Beginners can start with introductory courses that cover basic AI concepts and foundational machine learning knowledge. Intermediate learners can improve their understanding of deep learning and start working with generative models. Advanced participants can explore cutting-edge applications and techniques in generative AI.

What certifications and credentials can I earn through Generative AI courses on Coursera?

Upon completing Generative AI courses on Coursera, learners can obtain credentials that may assist in their professional and academic pursuits: Professional certificates that signify a foundational understanding and practical skills in generative AI. Specializations that focus on specific aspects of generative AI, such as neural networks or creative applications. Certificates that can be showcased to employers and academic institutions as evidence of specialized knowledge in a rapidly advancing field.

What career opportunities can be pursued with skills in Generative AI?

Skills in Generative AI open the door to a range of cutting-edge career opportunities: AI Research Scientist, developing new methods and technologies in generative AI. Creative Technologist, integrating AI into digital art, marketing, and entertainment. Machine Learning Engineer , specializing in building and training generative models. Product Developer , using generative AI to innovate product designs and features. Data Scientist , employing generative models for data augmentation and complex analyses.

How can I purchase GenAI training courses for my team?

Looking to enhance your team's GenAI skills? Coursera provides tailored enterprise solutions for teams ranging of 5-125 employees. Our offerings include advanced analytics, customized learning paths, and collaborative tools. To explore our GenAI training options and make a purchase, please visit our Coursera for Teams page.

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Explore the GenAI Course Catalog

Status: Free
Coursera Project Network
AI-Powered Development with Codepal: Write & Test To-Do App
Skills you'll gain: Unit Testing, Code Review, Test Automation, Software Documentation, Maintainability, Application Development, Web Applications, Generative AI, Software Development, Javascript, Artificial Intelligence, Automation, Natural Language Processing
Intermediate · Guided Project · Less Than 2 Hours
Status: Free
Coursera Project Network
Gemini for Beginners: Develop a Social Media Marketing Plan
Skills you'll gain: Timelines, Calendar Management, Scheduling, Google Sheets, Project Management Software, Spreadsheet Software, Social Media Management, Social Media Marketing, Content Strategy, Artificial Intelligence
Beginner · Guided Project · Less Than 2 Hours
Google Cloud
Build a DIY Multimodal Question Answering System with Vertex AI
Skills you'll gain: Metadata Management, Image Analysis, Text Mining, Generative AI, Google Cloud Platform, Data Processing, Query Languages
Intermediate · Project · Less Than 2 Hours
Google Cloud
Smart Analytics, Machine Learning, and AI on GCP en Français
Skills you'll gain: Google Cloud Platform, Unstructured Data, Tensorflow, MLOps (Machine Learning Operations), Data Pipelines, Big Data, Cloud API, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Jupyter, Data Science, Natural Language Processing
Intermediate · Course · 1 - 3 Months
Status: Free
DeepLearning.AI
Building Applications with Vector Databases
Skills you'll gain: Anomaly Detection, Database Application, Generative AI, Network Analysis, Applied Machine Learning, Databases, Natural Language Processing, Image Analysis, Text Mining, Information Architecture
4.2
Rating, 4.2 out of 5 stars
6 reviews
Beginner · Project · Less Than 2 Hours
SkillUp EdTech
Vector Search with Relational Databases using PostgreSQL
Skills you'll gain: PostgreSQL, Relational Databases, SQL, NoSQL, Databases, Node.JS, Data Import/Export, Data Processing
4.6
Rating, 4.6 out of 5 stars
16 reviews
Intermediate · Course · 1 - 4 Weeks
Northeastern University
Machine Learning in Healthcare: Fundamentals & Applications
Skills you'll gain: Data Mining, Artificial Intelligence and Machine Learning (AI/ML), Big Data, Machine Learning Software, Applied Machine Learning, Predictive Modeling, Machine Learning, Data Ethics, Random Forest Algorithm, Deep Learning, Unsupervised Learning, Healthcare Industry Knowledge, Algorithms, Artificial Neural Networks, Data Validation
4.6
Rating, 4.6 out of 5 stars
8 reviews
Beginner · Course · 1 - 4 Weeks
University of Colorado Boulder
Introduction to Computer Vision
Skills you'll gain: Image Analysis, Computer Vision, Computer Graphics, Deep Learning, Computer Science, Data Ethics, Applied Machine Learning, Artificial Intelligence, Data Processing, Linear Algebra
Build toward a degree
4.3
Rating, 4.3 out of 5 stars
7 reviews
Beginner · Course · 1 - 4 Weeks
Universidad Nacional Autónoma de México
Inteligencia artificial: proyecto final
Skills you'll gain: Program Development, Artificial Intelligence, Software Development, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Technical Writing
Intermediate · Course · 1 - 4 Weeks
Scrimba
Intro to Mistral AI
Skills you'll gain: JavaScript Frameworks, Artificial Intelligence, Generative AI, Application Programming Interface (API), Application Development, Natural Language Processing, Databases, Data Storage Technologies
Intermediate · Course · 1 - 4 Weeks
Xbox
Designing with GenAI and Capstone Project
Skills you'll gain: Design Reviews, Generative AI, Adobe Creative Cloud, Graphic Design, Data Ethics, Adobe Photoshop, Graphic and Visual Design, Design, Design Strategies, Competitive Analysis, Design Research, User Experience Design, Storytelling, Creativity
Beginner · Course · 1 - 4 Weeks
Status: Free
Coursera Instructor Network
GenAI for Data Science Teams
Skills you'll gain: Generative AI, Data Ethics, Innovation, Data Integration, Data Modeling, Data Quality, Data Science, Data-Driven Decision-Making, Unstructured Data, Artificial Intelligence and Machine Learning (AI/ML), Automation, Predictive Modeling
Intermediate · Course · 1 - 4 Weeks

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In summary, here are 10 of our most popular generative ai courses

AI-Powered Development with Codepal: Write & Test To-Do App: Coursera Project Network
Gemini for Beginners: Develop a Social Media Marketing Plan: Coursera Project Network
Build a DIY Multimodal Question Answering System with Vertex AI: Google Cloud
Smart Analytics, Machine Learning, and AI on GCP en Français: Google Cloud
Building Applications with Vector Databases: DeepLearning.AI
Vector Search with Relational Databases using PostgreSQL: SkillUp EdTech
Machine Learning in Healthcare: Fundamentals & Applications: Northeastern University
Introduction to Computer Vision: University of Colorado Boulder
Inteligencia artificial: proyecto final: Universidad Nacional Autónoma de México
Intro to Mistral AI: Scrimba

Generative AI Courses Online