
Advanced Generative AI Programme Lead
2 days ago
**Programme Leader - Advanced Generative AI**
We are seeking an experienced Programme Leader to spearhead our prestigious executive education programme, focused on delivering advanced generative AI concepts.
This part-time role is ideal for senior professionals who have a deep understanding of generative AI and want to share their expertise with career-focused learners. You will deliver live sessions, guide participants through practical implementation, and mentor them on their capstone project.
Key Responsibilities:
- Deliver advanced topics such as transformer architectures, diffusion models, VAEs, GANs, multimodal models, and more.
- Mentor participants on their capstone project, providing implementation-focused feedback and industry perspective.
- Support a cohort of global, technically skilled professionals in applying generative AI concepts to real-world use cases.
Required Qualifications & Experience:
- 10+ years of professional experience in AI, machine learning, or data science, with at least 3–5 years working directly on generative AI systems.
- Deep practical expertise in building, fine-tuning, or deploying models like BERT, GPT, diffusion models, or text-to-image systems.
- Strong programming skills in Python and experience with frameworks such as TensorFlow, PyTorch, Hugging Face Transformers, etc.
- Prior experience in technical training, executive education, or mentoring engineering teams is a must.
- A postgraduate degree (MS, PhD, or equivalent) in computer science, AI, or a related technical field is desirable.
Why This Role?
- Be part of a prestigious AI-focused executive education initiative.
- Engage with a network of senior professionals, industry leaders, and AI experts.
- Mentor from anywhere in the world while making a meaningful impact on the future of AI in business.
- Shape the next generation of technology managers and leaders in AI-driven strategic roles.
Course Details:
- Course duration: 16 weeks.
- Session format: 17 live sessions (each 120 minutes), delivered online.
- Capstone: Involvement in grading and mentorship.
- Compensation: Project-based.
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