This course has been certified by the CPD Certification Service as conforming to continuing professional development principles. Find out more.

Design and connect AI data pipelines for modern knowledge systems

Behind every AI assistant, smart search engine, or enterprise copilot sits a powerful data pipeline.

On this online course, you’ll learn how to architect, optimise, and connect those pipelines to deliver reliable, context-aware AI applications in real-world organisations.

You’ll begin with the foundations of AI data pipeline architecture, progress to implementing retrieval-augmented generation (RAG) systems for enterprise use, and finish by bridging data engineering with AI innovation to create intelligent, scalable knowledge systems.

Grasp pipeline architecture

Start by exploring the core principles of data engineering for AI. Learn how to manage ingestion, preprocessing, embedding, and transformation with a focus on modularity, reliability, and scalability.

You’ll connect workflows to vector databases and GenAI models to ensure retrieval is robust, responsive, and accurate at scale.

Work with RAG enterprise solutions

With that foundation backing you, you’ll move on to designing enterprise-grade RAG systems that support real-world applications, such as customer support chatbots and knowledge management platforms.

Build document pipelines, knowledge bases, and retrieval enhancements like metadata filtering and reranking, while practising optimisation for performance and accuracy.

Bridge data engineering with AI innovation

You’ll wrap this course up by combining robust pipelines with adaptable GenAI models to create intelligent support and knowledge systems that grow with organisational needs.

Learn how to monitor, evaluate, and maintain these systems so they deliver accurate, up-to-date information while transforming enterprise access to knowledge.

You may like to undertake more sustained study on this topic through our ExpertTrack: AI and Data Engineering

Syllabus

Week 1
Laying the Foundations – GenAI Principles and System Readiness
- Lesson 1: Course Introduction
  Course overview and meet your instructor
- Lesson 2: Introduction to Generative AI
  Understanding the transformative impact of GenAI on modern software engineering is crucial for building effective AI-powered applications and staying competitive in today's technology landscape.
- Lesson 3: Large Language Models
  This lesson provides deep technical insight into LLM architecture, comparative analysis of leading models like GPT, Claude, and specialised variants, and practical guidance for selecting the right model for specific use cases.
- Lesson 4: GenAI Use Cases
  This lesson examines real-world GenAI applications spanning multiple industries and functions, from customer support automation to content generation and decision support systems.
Week 2
Building and Scaling Intelligent RAG Systems
- Lesson 5: Data Processing
  This lesson teaches you to build comprehensive data engineering workflows that transform raw enterprise information into AI-ready formats, covering preprocessing techniques, quality validation frameworks.
- Lesson 6: RAG Fundamentals
  Learn to design RAG systems that combine LLMs with enterprise data using retrieval, embeddings, and vector databases to deliver accurate, context-aware responses through optimised architecture, integration, and testing strategies.
- Lesson 7: Advanced RAG
  Master advanced RAG techniques multi-stage retrieval, reranking, and optimisation to build scalable, high-performance systems that deliver accurate, context-rich responses in complex enterprise environments.
- Lesson 8: RAG for Customer Support
  Build customer support RAG systems to improve accuracy, reduce response time, and boost satisfaction through intelligent, context-aware automation.
- Lesson 9: Course Conclusion
  Consolidate your RAG and data engineering expertise, gain practical guidance for enterprise implementation, and explore pathways for growth in AI-powered knowledge systems and intelligent information architecture.

Who is this accredited by?

The CPD Certification Service:

The CPD Certification Service was established in 1996 and is the leading independent CPD accreditation institution operating across industry sectors to complement the CPD policies of professional and academic bodies.

When would you like to start?

Start straight away and join a global classroom of learners. If the course hasn’t started yet you’ll see the future date listed below.

Available now
Join - $99

Learning on this course

On every step of the course you can meet other learners, share your ideas and join in with active discussions in the comments.

What will you achieve?

By the end of the course, you‘ll be able to...

Construct robust data processing pipelines that transform raw data into AI-ready formats
Implement advanced RAG architectures with component integration and performance optimization
Develop customer support RAG systems with domain-specific knowledge base management
Apply advanced retrieval strategies including metadata filtering, reranking, and quality enhancement

Who is the course for?

This course is ideal for data and machine learning engineers, software specialists, and technical architects building robust data pipelines, knowledge management platforms, and retrieval-augmented GenAI enterprise systems.

Who will you learn with?

Ranjodh Singh

Who developed the course?

Starweaver

Starweaver is a next generation platform that engages your workforce as no other. Combining business and technical skills, Starweaver provides real-time skill building that is in line with your business objectives and strategies, and in your associates day to day tasks and jobs.

What's included?

This is a premium course. These courses are designed for professionals from specific industries looking to learn with a smaller group of like-minded individuals.

Unlimited access to this course
Includes any articles, videos, peer reviews and quizzes
Certificate of Achievement to prove your success when you're eligible
Download and print your Certificate of Achievement anytime

Join - $99

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