
Are you a data practitioner looking to harness the power of LLMs?
Who should enroll
This course is designed for:
- Data Scientists
- Data Engineers
- Machine Learning Engineers
- Software Engineers
Prerequisites for this course:
- Experience with Python and data analysis, as well as familiarity with machine learning and neural networks.
Why choose this course
For you:
- Gain cutting-edge LLM skills to advance your career
- Weekend sessions - no time off work required
- Learn from expert-led live workshops by Cambridge Spark and gain hands-on experience with real-world applications
- Access to EDUKATE.AI, the state-of-the-art virtual learning environment with real-world coding assignments and instant feedback
- Earn a recognised certification from Cambridge Spark
- Network with peers and industry experts
- Get £50 off with a referral from a peer
For your team:
- Rapidly upskill your team in essential LLM technologies
- Align team skills with emerging business needs in AI
- See immediate impact with real-world project implementation
- Benefit from highly interactive, small-group sessions for personalised learning
- Access ongoing support and resources post-course
- Foster innovation and new AI-driven solutions in your organization
- For 10+ employees, explore our enterprise solutions
What will I learn?
Detailed Curriculum
- Module 1: Foundations
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Get a refresher on the foundations of understanding LLMs, including concepts like tokenisation, embeddings, Transformers and the Attention mechanism.
Concepts:
- NLP basics refresher – including tokenisation and embeddings
- History of Language Models – the evolution from rule-based models to modern deep learning.
- The Attention Mechanism – the theory behind Attention.
- Module 2: Small Language Models
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The temptation is to always reach for the biggest hammer in the toolbox. But if your task is specific enough, smaller and more niche models might be useful.
Concepts:
- An introduction to Hugging Face – including loading models and tokenizers, generation and datasets.
- Overview of BERT (and his relatives) – architecture overview, variants and use cases.
- Module 3: Large Language Models
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How are LLMs different from other LMs, and what makes them ‘large’? This module gives an overview of working with LLMs, introduces the OpenAI API standard, and gives an overview of OpenAI’s offerings.
Concepts:
- Introduction to LLMs – includes an overview of popular LLMs today, and different approaches to “openness”.
- Prompt engineering and the basic approach to working with LLMs – including prompting techniques like few-shot prompting, and Chain-of-Thought prompting for example.
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OpenAI – introduction to the OpenAI API standard, and an overview of OpenAI models and methods.
Hands-on Project #1: Getting your LLM to adhere to a certain style
Hands-on Project #2: Concept drift and working with customer reviews
- Module 4: LangChain and LlamaIndex
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An introduction to important libraries you’ll likely use when building with LLMs: LangChain, LlamaIndex and Pydantic.
Concepts:
- LangChain and LlamaIndex – an overview of both frameworks, their advantages, and concepts like runnables and chains.
- Pydantic – an overview of Pydantic, and concepts like generating schemas, and chaining multiple LLMs.
Hands-on Project #1: Chaining multiple LLMs to produce more complicated outputs.
Hands-on Project #2: Prompt adherence safety measures
A real-world learning experience
EDUKATE.AI is our learning experience platform which delivers a seamless experience in one place and accelerates learning and impact through real practice on real projects with immediate, personalised feedback on code.

What makes our programme special?
We deliver all of our programmes live, in a virtual environment, allowing you to learn flexibly around your other commitments. EDUKATE.AI, our online learning platform, gives you a sandbox environment to practice your skills, providing immediate feedback on industry-simulated assignments. We believe that the gold standard for online delivery is to offer a mix of experiential learning, technical mentorship and peer support.
Real-World Practice for Accelerated Impact
EDUKATE.AI provides a sandbox environment where you can practice new skills on real assignments. This accelerates the impact you can make in your workplace, allowing you to immediately apply what you've learned.
EDUKATE.AI
Our online learning platform gives you a seamless learning experience with in-browser access to course slides, workshop recordings, quizzes and practical assignments. Immediate feedback helps you gauge your progress effectively.
Expert Curriculum
Our curriculum develops the skills to thrive in a data-driven profession. You'll learn the latest concepts and tools essential to analysing data to obtain actionable insights.
Flexible Fully Online Learning
Our programme is fully online, providing maximum flexibility for you and your employer alike. This means that you can access your content from anywhere, with no set up or installation of EDUKATE.AI required.
Vibrant Community
Joining our program means becoming part of a thriving community of thousands of data professionals. Learners have the opportunity to tap into this rich network of peers and alumni and benefit from the expertise and experience of others in the field.
Speak to the admissions team
Fill out the following form and we’ll contact you within one business day to discuss and answer any questions you have about the programme. We look forward to speaking with you.
Ready to level up your LLM skills? Whether you're set to enroll or have questions, our admissions team is here to guide you.
Looking for a more advanced course? Check out LLM Engineering: Customisation and Integration.
Fill in the form below to chat with an advisor now and secure your place.
FAQs
What support will I have access to throughout the course?
Apart from instructor guidance within the workshops themselves, you'll benefit from peer interaction and support within the online learning platform EDUKATE.AI.
How will I learn?
We take a blended approach to delivering our curriculum, which means you'll learn through a combination of live, instructor-led interactive workshops, and self-led practical assignments where you get to put the concepts that you learned to practice.
Is this course eligible for public funding?
No, this course is instead funded directly by the learners themselves or their employers.
In funding the course directly, you benefit from a curriculum designed with specific learning outcomes achieved over a shorter learning period and without the restrictions attached to some publicly funded options.
Please consider our longer Apprenticeships or Skills Bootcamps if you're interested in government-funded programmes.
How long does the course take to complete?
The course includes 4 weekly live workshops of 3.5hours spread over 4 weeks. Live workshops are delivered on Saturdays morning.
What if I can't attend one or more live sessions?
You are free to attend the live sessions at will. Recordings will be available on the learning platform EDUKATE to access throughout the course. But we highly recommend attending all live sessions to get the most out of the course.
What technology or equipment will I need to participate in this course?
You will need a web browser on your computer to access our learning platform, EDUKATE.AI, which hosts all our content.