Google DeepMind AI Research Foundations Course 2026
Job Description
TRI AI Saturdays Cohort 10: Google DeepMind AI Research Foundations Course 2026.
Applications are now open for the TRI AI Saturdays Cohort 10, a 16-week intensive AI learning and research programme powered by the Google DeepMind AI Research Foundations Curriculum (Courses 1–4).
The programme is designed to equip participants with strong foundations in Artificial Intelligence, Machine Learning, research, and real-world AI problem solving through hands-on learning, collaborative projects, and mentorship.
This cohort is ideal for students, early-career professionals, aspiring AI engineers, researchers, developers, and anyone looking to transition into the AI ecosystem.
About the Programme
TRI AI Saturdays is a practical and research-focused AI learning initiative that combines foundational AI theory with real-world implementation and project development.
The programme is structured to take participants from core AI concepts to building and fine-tuning Small Language Models (SLMs), while exposing them to modern AI systems and applied machine learning workflows.
Participants will learn directly from the Google DeepMind Research Foundations curriculum while collaborating with a growing community of AI builders, innovators, and researchers.
What Participants Will Learn
During the programme, participants will explore key AI and machine learning concepts such as:
- Tokenization
- Embeddings
- Backpropagation
- Gradient Descent
- Attention Mechanisms
- Multi-Head Attention
- Generative AI Systems
- AI Research Foundations
- Applied Machine Learning Concepts
Participants will also learn how to:
- Translate mathematical AI concepts into working code
- Implement attention heads and transformer concepts
- Build and fine-tune Small Language Models (SLMs)
- Work on practical AI projects
- Collaborate within technical teams
- Develop research and engineering problem-solving skills
Programme Structure
The programme combines:
- Weekly learning sessions
- Hands-on implementation
- Practical AI projects
- Collaborative technical work
- Community learning
- Mentorship and support
The learning experience is designed to balance theory with real-world application.
What You Will Gain
Participants will gain:
- Mentorship opportunities
- Hands-on AI and SLM project experience
- Exposure to real-world AI career pathways
- Practical machine learning implementation skills
- Collaborative learning experience
- Technical teamwork and leadership exposure
- Strong foundational understanding of modern AI systems
Who Should Apply?
The programme welcomes:
- University students
- Early-career professionals
- Aspiring AI engineers
- Researchers
- Developers
- Tech enthusiasts
- Career transitioners interested in AI
Applicants are expected to be:
- Curious and eager to learn
- Committed to completing the programme
- Interested in AI research and development
- Ready to collaborate and contribute meaningfully
Prior advanced AI experience is not strictly required, but strong interest and commitment are important.
Learning Format
- Weekly sessions
- Hands-on projects
- Collaborative work
- Technical implementation exercises
- Community-driven learning
Programme Duration: 16 Weeks
Important Dates
- Registration Deadline: May 17, 2026
- Cohort Start Date: May 31, 2026