Generative AI LaunchPad

This course is designed to help beginners and non-technical professionals establish a solid foundation in Artificial Intelligence (AI), particularly in Generative AI. Many people attempt to jump directly into advanced AI tools and specialized techniques without first understanding the fundamentals. The aim of this course is to help build that foundational knowledge and also bridge the AI skill gap. By the end of this program, learners will confidently and responsibly use AI tools, understand the underlying technology, and apply AI-driven solutions in real-world scenarios.

Who Is It For?
We welcome a broad audience, including professionals looking to enhance their career skills, undergraduates exploring AI, and lifelong learners seeking to adapt to the modern tech landscape. The course is deliberately accessible to those with minimal or no prior AI knowledge.

Key Knowledge & Skills

• Understanding how machine learning works and the basics of AI model training
• Confidently Using and customizing Generative AI tools like ChatGPT
• Applying core techniques such as prompt engineering, multi-modal inputs, and real-time data integration
• Evaluating AI outputs for quality, bias, and ethical implications
• Collaborating and creating group-based AI projects for deeper engagement

Course Structure & ‘Deep Tech’ Focus
The syllabus includes:

• Foundational AI Concepts (machine learning, supervised vs. unsupervised vs. reinforcement learning)
• Generative AI (large language models, text-to-image, text-to-video, voice cloning, etc.)
• Practical Hands-On Modules (live labs, group projects, asynchronous assignments)
• Ethics & Bias (understanding model limitations, data privacy, and responsible AI use)

This content relates to deep tech in that it covers advanced computational models (transformers, large-scale training processes, emerging AI capabilities) and practical ways to adopt these technologies in daily tasks.

Teaching & Assessment
The course blends live instruction (virtual sessions) with self-paced study, quizzes, hands-on exercises, and a final group project. Assessment includes class participation, short quizzes, peer-reviewed tasks, and a final demonstration.

Practical Information
Duration: 10 days (6 live sessions + asynchronous tasks), totaling 50 hours
Location/Format: Fully online (live webinars + online coursework)
Fee: Free of charge for accepted participants
Certification: Upon successful completion, learners receive a certificate