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Interested in joining our next course?

Enrol for

October 2024

Book your course now

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.

Want to master advanced LLM techniques for building bespoke AI applications?

Take your LLM expertise to the next level with advanced techniques and tools for customisation and integration including LangChain, RAG, fine-tuning and Agents. Perfect for practitioners ready to build bespoke AI applications, delivered by experts from industry and leading academic institutions.

Starts on

STARTS ON

9 NOVEMBER 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

Completion of LLMs Foundations for Practitioners or equivalent experience.

Why choose this course?

For You

  • Master advanced LLM techniques to lead AI initiatives
  • Weekend sessions - balance learning with work commitments
  • Learn from industry experts in advanced LLM engineering
  • Develop enterprise-grade LLM applications for your portfolio
  • Earn an advanced certification from Cambridge Spark
  • Connect with high-level peers in the AI industry
  • Get £50 off with a referral from a colleague

For Your Team

  • Equip your team with cutting-edge LLM engineering skills
  • Accelerate AI project delivery and innovation
  • Enhance team capabilities in LLM customisation and integration
  • See direct business impact from applied learning projects
  • Receive tailored guidance on implementing LLMs in your organisation
  • Align advanced AI skills with strategic business objectives
  • 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 an overview of how we can keep track of internal states, and chat history when working with LLMs. 

Concepts:
  • Managing conversation states – including maintaining context in LangChain and different memory types.
  • Integrating databases with LLMs – including security and privacy.
Hands-on Project: Build a functional chatbot with an integrated database.

How can we build LLMs that work with documents? In this module, we explore core concepts like semantic similarity, vector storage and Retrieval Augmented Generation (RAG) to help us do that.

Concepts:
  • Document stuffing – including loading documents using PyMuPDF, and using LangChain document methods
  • Embeddings – including the concept of semantic similarity, and an overview of embedding models offered by different providers. 
  • Vector stores – an overview of various vector stores like FAISS, Chroma and Pinecone.
  • Evaluation and monitoring – LLM evaluation metrics (including statistical scorers like ROUGE and BLEU, and frameworks like G-Eval),  RAGAS, different kinds of drift, question-context pair evaluation, and mitigating hallucinations.
  • Knowledge graphs

Hands-on Project: Generate running summaries on documents and integrate a chatbot to ask questions about the documents.

In situations where we need to go beyond simply retrieving information, and where we need sequential reasoning, and planning for example, LLM agents can help. This module introduces the concept of agents, the components of an agent system, and gives an overview of the tools we can use. 

Concepts:
  • Introduction to Agents
  • An overview of tools – both tools available through LangChain and LlamaIndex, and custom tools.

Hands-on Project: Build a question-answering agent.

In some cases, where application requirements are unique, general-purpose models may not be effective enough, and we may need to fine tune them to make them more specialised. This module explores fine tuning, giving an overview of fine tuning methods for when they are appropriate, and showcasing frameworks and best practices.

Concepts:
  • Overview of fine tuning methods – concepts include instruction tuning, SFT, LoRa, and PEFT. 
  • Frameworks and best practices – including frameworks like Hugging Face and NeMo, fine tuning OpenAI models, and distributed fine tuning.


Hands-on Project: Fine tune GPT-2.

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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.

Are you new to LLMs? Start with our foundational course: LLMs Foundations for Practitioners. 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 30th 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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