Apply for the Google DeepMind AI Research Foundations Course 2026 and gain hands-on AI, Machine Learning, and SLM project experience.
Applications are now officially open for the TRI AI Saturdays Cohort 10, a comprehensive 16-week Artificial Intelligence programme built around the renowned Google DeepMind AI Research Foundations Curriculum.
This intensive learning experience is designed for individuals who want to build practical AI, machine learning, and research skills through hands-on implementation, mentorship, and collaborative technical projects. Participants will gain exposure to modern AI systems and learn how real-world AI technologies are developed and applied.
As AI continues to transform industries globally, programmes like this offer a valuable opportunity for students, developers, researchers, and aspiring AI professionals to strengthen their technical abilities and position themselves for future career opportunities in the growing AI ecosystem.
๐ข About the Organization
TRI AI Saturdays is a community-driven AI education and research initiative focused on helping learners develop practical and industry-relevant AI skills through structured learning, collaboration, and project-based training.
The programme leverages the powerful curriculum developed by Google DeepMindโ ๏ฟฝ, one of the worldโs leading AI research organizations known for groundbreaking innovations in machine learning, generative AI, and advanced neural network systems.
๐ผ Position Details
Programme Name: Google DeepMind AI Research Foundations Course 2026 โ TRI AI Saturdays Cohort 10
Location: Online / Remote
Programme Type: AI Learning & Research Programme
Duration: 16 Weeks
Cost: Not specified
๐ฏ Key Responsibilities
Participants in the programme will:
Attend weekly AI learning and implementation sessions
Study core Artificial Intelligence and Machine Learning concepts
Work on practical AI and Small Language Model (SLM) projects
Collaborate with fellow participants on technical tasks
Translate mathematical AI concepts into functional code
Explore transformer architectures and attention mechanisms
Participate actively in mentorship and community discussions
Apply machine learning concepts to real-world problem-solving
โ
Requirements / Qualifications
Applicants should:
Be interested in Artificial Intelligence and Machine Learning
Be willing to commit fully to the 16-week programme
Have a strong passion for research, coding, or AI development
Be ready to collaborate with technical teams and communities
Possess curiosity and eagerness to learn new concepts
Be students, developers, researchers, tech enthusiasts, or career transitioners
Advanced AI experience is not mandatory, making the programme suitable for motivated beginners and early-stage learners.
๐ Benefits
Participants selected for the programme will enjoy:
Access to the Google DeepMind AI Research Foundations curriculum
Hands-on experience building AI systems and SLMs
Mentorship from experienced AI practitioners and researchers
Exposure to real-world AI engineering workflows
Collaborative project experience with other AI learners
Practical implementation skills in Machine Learning and Generative AI
Networking opportunities within the AI and tech community
Strong foundational knowledge for future AI careers and research opportunities
๐ Why You Should Apply
Artificial Intelligence is one of the fastest-growing fields globally, and employers increasingly seek professionals with practical AI and machine learning skills. This programme offers a rare opportunity to gain hands-on technical experience while learning from a curriculum connected to one of the worldโs most respected AI organizations.
Whether you want to become an AI engineer, researcher, machine learning developer, or transition into tech, this programme can help you build relevant skills and practical experience that stand out in todayโs competitive digital economy.
๐ง Pro Tips for Applicants
Apply early before registration closes
Highlight your interest in AI, coding, or research in your application
Prepare to dedicate consistent time weekly for learning and projects
Familiarity with basic programming concepts can be helpful
Engage actively during mentorship and collaborative sessions to maximize learning opportunities
๐
Application Deadline
Registration Deadline: May 17, 2026
Programme Start Date: May 31, 2026
๐ How to Apply
Interested applicants should:
Visit the official application portal
Complete the online registration form accurately
Submit all required information before the deadline
Wait for further communication from the programme organizers
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