Driving Innovation with Generative AI is designed for learners aiming to develop a comprehensive understanding of the fundamentals of Generative AI and machine learning, including neural networks and the role of data. This course utilizes industry case studies, hands-on work with generative AI tools, and the latest insights from MIT to equip you with the knowledge and skills necessary to navigate the intricate world of generative AI.
The course is open to all interested participants; no advance reading is required. While not mandatory, the faculty strongly recommend that learners have a basic understanding of what a Large Language Model (LLM) is. No prior background in analytics, computer science, coding, or machine learning is required.
Key Course Information:
- Time Commitment: 4-7 hours per week
- Duration: 6 Weeks
- Format: Online
Topics Covered:
- Generative AI and the AI Landscape
- Generative AI Foundations: Visual Data and Image Outputs
- Generative AI Foundations: Textual Data and Text Outputs
- Other Types of Data and Applications They Enable
- Generative AI for Creative Expression and Design of Collaborative Agents
- Strategy and Societal Implications of Generative AI (Policy, Ethics, and Human Augmented Work)
Who Should Enroll: This course is ideal for anyone looking to leverage generative AI in their work. Potential participants include:
- Engineers working as Product Managers
- Web Application Developers/Managers
- Software as a Service (SaaS) professionals
- UX/UI Designers
- Solutions Architects
Please Note: Driving Innovation with Generative AI will primarily use OpenAI’s ChatGPT 4.0 application. Learners will need to subscribe to ChatGPT 4.0 individually to complete coursework, and this subscription is not included in the course.
If you are ready to enhance your skills and knowledge in generative AI, this course is a perfect fit for you!