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Interested in joining our next course?

Enrol for

October 2024

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One data apprentice can create real business impact

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£1.4m revenue

identified through data-driven insights

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£120,000 saved

by creating efficiencies

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90% shorter project times

achieved through automations

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5x faster ML model training

achieved through automations

Build capability to create and maintain key data infrastructure

Want to train new talent and reskill existing employees with one of the most in-demand technical skillsets? Develop key internal capabilities to raise the usability of critical datasets in your organisation. Cambridge Spark's Level 5 Data Engineer Apprenticeship equips learners with core technical and leadership skills.

In turn, learners are able to support business functions in creating and maintaining data analytics pipelines. They build the skillset to access data in their organisation and gain an understanding of the data engineering lifecycle, data modelling and more to help organisations maximise the value of their data.

Leaners will also have the opportunity to join guest talks on technical updates from leading technology providers like Google Cloud Platform and Databricks.

Are you a data practitioner looking to harness the power of LLMs?

This course is your gateway to building cutting-edge AI products and features, delivered by experts from industry and leading academic institutions. Learn about tools and techniques including LangChain, LlamaIndex, Hugging face and off-the-shelf open source LLMs.

Starts on

STARTS ON

5 OCTOBER 2024

Course Duration

COURSE DURATION

4 weeks

Format

COURSE FORMAT

virtual live classes on weekends

Course Fees

COURSE FEES

£995 + VAT
Get £50 off with a referral

Hear from Jonathan Wagstaff, Group Head of Business Intelligence at Exertis

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Hear from Jonathan Wagstaff, Group Head of Business Intelligence at Exertis

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Jonathan Wagstaff
Data apprenticeships enable myself and my team to keep up-to-date with the latest.

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?

Our curriculum is developed by our leading faculty, composed of data scientists in leading industry positions and academics from some of the top universities in the world.

We take a modular approach to how we offer our curriculum. This course includes all of the below modules with each module being a mix of e-learning content, such as Jupyter notebooks and instructional videos, as well as live workshops.

We continuously update the modules and reiterate to incorporate the latest skills.

Detailed Curriculum

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.
Hands-on Project: Visualising Attention in action in a basic translation task.

 

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.
Hands-on Project: Sentiment analysis, and other pre-trained tasks like NER, POS tagging, summarisation, and Q&A with BERT

 

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.

  • 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

 

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

 

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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.
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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.

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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.
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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.
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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.
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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.
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Community

Joining our programme means becoming part of a thriving community of thousands of data professionals. You 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

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. Enroll for the full series for a 5% discount.

Fill in the form below to chat with an advisor now and secure your place before the enrollment deadline 15th September.

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.

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