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Overview
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 Low-Code Data Scientist 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.
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
- Large language models (LLMs)
- Understanding LLM modalities
- LLMs as an application development platform
- Implementing the machine learning pipeline in low-code systems
- Prompt engineering
- 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
- Use of pre-built models and templates for AI applications
- Comparing capabilities of low-code and full-code AI solutions
- Scaling low-code AI solutions
- Security and access
- Using code generation tools like GitHub Co-pilot
- Using generative tools in the creative space like DALL-E
- Fine-tuning low-code models
- 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
Disciplines
Data Science & Big Data Artificial Intelligence View 22 other Short Courses in Artificial Intelligence in United KingdomAcademic 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 Fee
To always see correct tuition fees
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International
1395 GBP/fullTuition FeeBased on the tuition of 1395 GBP for the full programme during 17 days. -
National
1395 GBP/fullTuition FeeBased on the tuition of 1395 GBP for the full programme during 17 days.
Funding
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