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Overview
The Low-Code Data Scientist: Building AI Agents and Systems Without Writing Code course offered by University of Oxford course explores how to create artificial intelligence applications (machine learning and deep learning applications) using low-code and large language models (LLMs), including ChatGPT.
What you will study
- Over the last few months, with the advent of chatGPT, this maxim has become a reality.
- Unlike the narrow AI that preceded it, chatGPT shows early characteristics of AGI (Artificial General Intelligence).
- While AGI will create disruption, it also creates opportunities. Specifically, for the first time, the combination of LLM (large language models like chatGPT) and low-code development techniques allows non-developers familiar with IT to learn AI.
- The course assumes no knowledge of AI, machine learning, or coding - but assumes that you work within the broader information technology ecosystem. We may demonstrate code in some sessions, but we will not expect you to code.
- Upon completing this course, you should be able to build machine learning and deep learning applications using generative models and low-code.
Programme Structure
The program focuses on:
- Machine learning and deep learning concepts and workflows
- Building blocks of low-code ecosystems
- The Azure low code platform in detail
- Understanding the use of LLMs in AWS and GCP
- Deploying low-code and LMS AI services in cloud-native MLOps environments
- UX and integration for low-code
- Ethical AI and Responsible AI Considerations
- The overall end-to-end architecture of LLMs, including langchain and pinecone
Key information
Duration
- Part-time
- 17 days
Start dates & application deadlines
- StartingApplication deadline not specified.
Language
English
Delivered
Online
Campus Location
- Oxford, United Kingdom
Disciplines
Data Science & Big Data Artificial Intelligence View 31 other Short Courses in Artificial Intelligence in United KingdomWhat students do after studying Computer Science & IT
This information is based on LinkedIn alumni data for graduates from 2018 to 2024 and may not fully represent all career outcomes
Total alumni
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Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
- This course is designed for people who work within the broader information technology ecosystem but are not necessarily developers. Hence, you need not have a coding/developer background for this course but need to be familiar with IT.
- The course suits a range of personnel who want to understand Artificial Intelligence: Business analysts, Account managers, Technical architects, Data analysts, Project managers, IT sales and Pre-sales personnel Media and PR, Network, and systems administrators.
Technological requirements
- Regular access to the Internet and a computer meeting our recommended Minimum computer specification.
- It is advised to use headphones with working speakers and microphone.
Tuition Fees
Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
-
International Applies to you
Applies to youNon-residents1720 GBP / full≈ 1720 GBP / full -
Domestic Applies to you
Applies to youCitizens or residents1720 GBP / full≈ 1720 GBP / full
Funding
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