Course Director
Ajit is a dedicated leader and teacher in Artificial Intelligence (AI), with a strong background in AI for Cyber-Physical Systems, research, entrepreneurship, and academia.
Currently, he serves as the Course Director for several AI programs at the University of Oxford and is a Visiting Fellow in Engineering Sciences at the University of Oxford. His work is rooted in the interdisciplinary aspects of AI, such as AI integration with Digital Twins and Cybersecurity.
His courses have also been delivered at prestigious institutions, including the London School of Economics (LSE), Universidad Politécnica de Madrid (UPM), and as part of The Future Society at the Harvard Kennedy School of Government.
As an Advisory AI Engineer, Ajit specialises in developing innovative, early-stage AI prototypes for complex applications. His work focuses on leveraging interdisciplinary approaches to solve real-world challenges using AI technologies.
Ajit has shared his expertise on technology and AI with several high-profile platforms, including the World Economic Forum, Capitol Hill/White House, and the European Parliament.
Ajit is currently writing a book aimed at teaching AI through mathematical foundations at the high school level.
Ajit resides in London, UK, and holds British citizenship. He is actively engaged in advancing AI education and innovation both locally and globally. He is neurodiverse - being on the high functioning autism spectrum.
Ajit's work in teaching, consulting, and entrepreneurship is grounded in methodologies and frameworks he developed through his AI teaching experience. These methodologies help to rapidly develop complex, interdisciplinary AI solutions in a relatively short time. These include:
1. The Jigsaw Methodology for low-code data science to non-developers.
2. The AI Product Manager framework and AI product market fit framework
3. Software engineering with the LLM stack
4. Agentic RAG for cyber-physical systems.
5. AI for Engineering sciences:
6. The ability of AI to reason using large language models
He also consults at senior advisory levels to companies.
His newsletter on AI in Linkedin has a wide following
Tutor
Co-founder, Erdos | Author | Senior Tutor in AI & ML, University of Oxford | AI Ambassador, Oxford AI & ML Competency Center | Data Architect, Metro Bank
Anjali Jain is a London-based data architect, author, and AI expert with over two decades of experience in software development, architecture, data strategy, and applied machine learning.
At the University of Oxford, she serves as Senior Tutor in AI and Machine Learning and as AI Ambassador at the AI & ML Competency Center, where she leads strategic initiatives in AI education and research.
She is the co-founder of Erdos Research, a collaborative research and innovation lab focused on building and implementing AI systems, advancing prompting methods, and developing tools for AI-assisted software engineering.
Anjali also serves as Data Architect at Metro Bank, where she supports the integration of AI into financial systems with a focus on data governance, data architecture and compliance.
She is the co-author of “10X AI Developer Guide with BRIDGE AI Framework” and “AI-Assisted Programming for Web and Machine Learning”, offering practical methodologies for building intelligent, human-centric technologies.
Tutor
Data Scientist
Ayşe Mutlu is a data scientist working on Azure AI and devops technologies. Based in London, Ayşe’s work involves building and deploying Machine Learning and Deep Learning models using the Microsoft Azure framework (Azure DevOps and Azure Pipelines).
She enjoys coding in Python and contributing to Open Source Initiatives in Python.
Tutor
Claudia Saleh is an AI Product Leader at Disney with over 20 years of IT experience. She traded the laid-back beaches and sunny Rio de Janeiro, Brazil, where she worked for media companies like Globo.com and ADVPress, for the dynamic international scene of Washington, DC. There, she contributed her expertise to international organisations such as the World Bank, the Inter-American Development Bank, and the United Nations.
She works in the media and entertainment industry, driving innovation at the intersection of technology and creativity. As a graduate student in Artificial Intelligence, she combines academic insights with hands-on expertise, focusing on AI strategies and their transformative potential for knowledge and creative professionals.
An experienced speaker and mentor, Claudia has guided enterprises in adopting technology effectively and strives to empower professionals to see AI as a collaborator. Her diverse background includes a decade as a travel journalist and graphic designer, which adds a unique perspective to her work, enabling her to simplify complex ideas and inspire diverse audiences.
When she’s not exploring the latest AI trends, Claudia can be found writing, travelling, or immersing herself in the magic of Disney. She brings a unique voice to conversations about AI, blending technical insights with a deep appreciation for the creative spark that drives innovation.
Tutor
Mayank founded HiveMTD, a cloud-based ERP solution providing billing and VAT services to small and medium businesses in the UK under the Making Tax Digital campaign. He also co-founded HivePayroll, a cloud-based payroll solution launched in South Asia.
He has translated this experience in ERP to develop an end-to-end full stack platform using Vibe coding, specifically lovable and supabase. To this, also analytics was added using the same approach. He was the first ERP functional consultant to successfully implement SAP S/4HANA Central Finance with Central Payments and Central Taxation in 2018. Since 2020, he has co-authored three books on accounting and finance business processes using SAP ERP solutions.
Tutor
Senior Cloud Advocate, Microsoft
Chris is Senior Cloud Advocate at Microsoft with more than 15 years's experience in the IT industry. He's a published author on several books about web development as well as the Go language. He's also a recognized speaker as well as keynote speaker and holds a Google developer expert title.
Tutor
Dr Amitkumar Chougule is a Specialist Registrar in Psychiatry, currently working with the Older People’s Liaison Psychiatry team at Cambridge University Hospitals. He is pursuing higher training in Psychiatry within the Cambridgeshire and Peterborough NHS Foundation Trust, Cambridge, UK.
Dr Chougule completed his MBBS at Topiwala National Medical College, Mumbai, India, in 2011, followed by a Postgraduate Diploma in Psychological Medicine from Kasturba Medical College, Manipal University. He then earned his MD in Psychiatry from Christian Medical College, Vellore, where he was awarded the A.S. Johnson Memorial Gold Medal in Schizophrenia.
In 2019, Dr Chougule relocated to the UK to undertake an International Training Fellowship in Psychiatry, sponsored by the Royal College of Physicians and Surgeons of Glasgow. He became a Member of the Royal College of Psychiatrists (MRCPsych) in 2021 before beginning his higher training in Cambridge. In 2024, he completed a Postgraduate Certifcate in Medical and Healthcare Education from Anglia Ruskin University, UK.
Experience in Digital Health and AI:
Dr Chougule’s work and interests lie at the intersection of AI and medical education. He has a solid background in digital health and artifcial intelligence (AI). He completed the AI in Healthcare Specialisation from Stanford University and holds an Advanced Certifcation in AI in Medicine from the American Board of AI in Medicine. In 2023, he furthered his expertise with the "Low-Code Data Scientist: Low-Code AI Apps Including LLMs and ChatGPT" course at Oxford University. To deepen his understanding of generative AI in education, he also completed the "Generative AI in Higher Education" course at King’s College London.
Currently, Dr Chougule serves as the Trainee Lead for the Royal College of Psychiatrists (RCPsych) Data and Digital Literacy Task Force, where he is committed to enhancing data and AI literacy among clinicians. As an NHS England Digital Health and Entrepreneurship Fellow for the East of England, he developed a teaching module on the application of generative AI in medical education, specifcally tailored for medical educators.
Dr Chougule has co-authored a policy on the use of software in clinical settings for his NHS Trust and played a pivotal role in the procurement and deployment of the Trust’s Electronic Prescribing and Medicine Administration (EPMA) system and the Digital Health Apps Library.
He is a sought-after speaker and has conducted numerous teaching sessions and workshops on Generative AI, Prompt engineering, AI literacy, including at the RCPsych Annual Conference, NHS England (NHSE) faculty meetings, and NHS Continuing Professional Development events. His audiences have ranged from trainee doctors and allied health professionals to senior medical education leaders in the NHS.
Vision:
Dr Chougule is passionate about leveraging AI to democratise access to high-quality medical education. He is pioneering the development of AI copilots designed to function as on-demand teaching assistants, empowering trainee doctors with immediate, high-quality educational support. He advocates for a low-code approach to building AI skills among clinicians and is focused on creating a framework for teaching AI skills that aligns with NHS AI literacy competencies.
Tutor
Magnús Smárason is an Icelandic AI researcher and digital innovator with a diverse background spanning emergency services, law, and technology. He spent over 16 years as a firefighter and paramedic before earning a B.A. in Law from the University of Akureyri. In 2022, Magnús shifted his focus to artificial intelligence, recognizing its transformative potential for society.
Currently, as AI Project Manager at the University of Akureyri, Magnús leads efforts to responsibly integrate AI into higher education and public institutions. His ongoing studies in Low-Code Data Science at the University of Oxford have further equipped him to develop practical AI applications, support research projects, and enhance public services. Magnús actively contributes to public understanding through regular articles, lectures, and community engagements, translating complex AI topics into accessible insights.
Guided by his extensive leadership and mentoring experience, Magnús is deeply committed to fostering responsible AI development and promoting informed discourse about technology’s role in shaping our collective future.
