Langchain Certification Programme
Langchain Certification Programme

Generative AI Conclave



Start Date

Winter 2024
Duration: 4 days



Venue

Middlesex University Dubai



Fees

AED 800
AED 500 - MDX Students & Alumni



Programme Leader

Dr Krishnadas Nanath

Programme overview

Embark on a journey through the innovative world of LangChain technology. Our comprehensive course is designed for enthusiasts, professionals, and learners eager to delve into the realm of Large Language Models (LLMs) and their applications. Whether you're a beginner or looking to enhance your skills, this course offers a structured and in-depth exploration of LangChain's capabilities and techniques. From understanding the basics to deploying sophisticated applications, our curriculum is tailored to provide a holistic understanding of LangChain technology and its transformative potential in various fields. Join us as we uncover the secrets of LangChain and open doors to a world of technological possibilities.

Highlights of the Generative AI Conclave include:

  • LangChain Certification Course: We have developed an end-to-end LangChain certification course that is recommended by LangChain themselves.
  • Interactive Keynote Speeches: Engage with thought-provoking ideas and cutting-edge AI trends presented by our distinguished keynote speakers.
  • Hands-On Hackathon: Collaborate, compete, and innovate in our exhilarating hackathon, where practical skills meet creative problem-solving.
  • Networking Opportunities: Connect with peers, professionals, and pioneers in the field, expanding your professional network and collaborative opportunities.
  • Study Materials: Receive a complete pack of Gen AI study materials and in-house developed cheat sheets for you to explore the topic further!

The Generative AI Conclave: LangChain Certification Programme is delivered by Middlesex InsightsX Lab. The InsightsX Lab is the Data Science hub to connect the analytics community and academic fraternity with organisations willing to derive insights from their data. The lab enables academic researchers and the data science community in the UAE to help companies understand how to better monetize their data through the development and application of new predictive models and analytical approaches.

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Who is the programme suitable for?

 Join us for an enriching experience where innovation meets practical application. The Conclave is meticulously designed to cater to a diverse audience, from AI aficionados to data science professionals, the programme offers a perfect blend of insightful lectures, interactive sessions, and a captivating hackathon.

This course is designed for professionals and students who already have a foundational understanding of Data Science and are comfortable with the Python language. While prior experience in Text Analytics is not required, participants should possess basic knowledge of Data Science algorithms and coding skills in either R or Python.

Programme Information:

Whether you're seeking to deepen your understanding of AI, explore new trends in data science, or simply engage with the AI community, Middlesex University Dubai Generative AI Conclave is the place to be. Register now and be a part of this exciting journey into the world of Generative AI!

Programme Information:

17th February

Explore the core concepts of LangChain, its components, and functionalities. Delve into the structure and mechanics of Large Language Models, including tokenization, model interaction, and the use of embeddings. Discover the possibilities with open-source model alternatives.

17th February

Advance into sophisticated areas of LLMs covering text generation, decoding strategies, model finetuning, and the integration of human feedback. Learn about LangChain's integration with these models and techniques for model execution in resource-limited environments.

18th February

Uncover the intricacies of data management within LangChain. Understand how vectorstores interact with embeddings, the functionality of indices, and the art of crafting effective prompts. Gain knowledge essential for managing data in LangChain applications.

24th February

Master the practical aspects of building and deploying LangChain applications. Learn about constructing chains, utilizing memory, creating agents, and their roles. Get insights into the deployment process, including best practices for application implementation.

25th February

Engage with thought-provoking ideas and cutting-edge AI trends presented by our distinguished keynote speakers.

Hands-On Hackathon: Collaborate, compete, and innovate in our exhilarating hackathon, where practical skills meet creative problem-solving

Who will I be taught by?

Dr Ivan Reznikov

Dr Ivan Reznikov is a seasoned data scientist with an impressive 12 years of experience in software development and data science. With a strong foundation in leadership, he has honed his management skills over 7 years, guiding teams to success in various challenging environments. His expertise lies in Python and Data Science, with a particular focus on applying these skills in the domains of Healthcare, Retail, Consultancy, and Finance.

In his professional journey, Dr Reznikov has held diverse roles where he has led teams, developed cutting-edge data solutions, and provided mentorship to students and colleagues. Dr Reznikov is a recognized figure in the data science community, having presented at prestigious conferences such as TEDx, PyCon MEA, and the Dubai Data Science Meetup. His excellence in the field is further evidenced by his status as a Competition Expert in the Top 1% on Kaggle.


 

Dr Krishnadas Nanath

Dr Krishnadas Nanath is the Deputy Head of Computer Engineering and Informatics department at Middlesex University Dubai and an Associate Professor of Data Science. He is also the founder of Middlesex Insights Lab- an applied data analytics hub that brings industry expertise and datasets for the analytics community in the region. In his previous role at Majid Al Futtaim (MAF), he was responsible for leading the efforts of enhancing Analytics and Data Science capabilities as part of the School of Analytics & Technology.

He features in the list of top academic data leaders of the world published by CDO Magazine (MIT Sloan). He received his PhD from the Indian Institute of Management Kozhikode (IIM K) and his thesis covered the areas of Green IT (Sustainability Analytics) and Cloud Computing. He has extensive teaching experience in the areas of Data Science, Cloud Computing, Social Media Analytics, and MIS with Middlesex University, IMT, and IIM Indore. He has executed several corporate training programs and Data Science consulting assignments with several firms in the UAE (PWC, Landmark Group, National Bank of Fujairah, UAE Exchange, Emirates NBD, DAMAC Properties, and others). As a renowned Keynote Speaker, Dr Nanath has addressed prestigious forums such as Gitex Technology Week, Wonderland AI, IIM Ahmadabad Data Science Summit, and many others.