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Generative AI Application Engineering and RAG

Build practical capability from foundations to advanced application in Generative AI Application Engineering and RAG.

CSDesigned by Craskills Learning and Development Solutions
Contextual learningAdapted to participant roles
Hands-on practiceRelevant workplace situations
9 learning modulesClear, practical architecture
Offline / OnlineFlexible delivery options
CustomisableAligned to organisational goals
About this course

Built around the moments
that matter at work.

A progressive, instructor-led pathway in Generative AI Application Engineering and RAG. Start at the level matching your prior experience, practise with guided exercises, and develop a reviewed project. Each level is part of the same course; scope, duration and entry assessment are agreed before enrolment.

Designed for

Developers with Python or JavaScript and API experience
What you’ll learn

Capabilities you can
apply immediately.

01Chunk approved documents, create embeddings and retrieve relevant context.
02Measure groundedness and task success; test prompt injection and unsafe retrieval.
03Deliver an evaluated retrieval application with citations, access checks and operational documentation.
Three levels · One course

Build from foundations
to advanced practice.

Choose your entry level after an initial skills discussion. Complete the preceding level or demonstrate equivalent skills before progressing. Advanced here means advanced within this pathway, not a guarantee of professional mastery.

Beginner3 modules

Entry guidance: Review the audience requirements above; this level begins with subject foundations.

1. LLM application foundations

Understand tokens, context, model limits and API integration.

2. Structured outputs and prompts

Design constrained outputs, validation and testable instructions.

3. Retrieval foundations

Chunk approved documents, create embeddings and retrieve relevant context.

Progress review: Practical exercise, feedback and a demonstration of the level’s learning outcomes. Duration is agreed for the selected level and audience.

Intermediate3 modules

Entry guidance: Beginner-level skills or equivalent practical experience.

1. RAG pipeline engineering

Compare retrieval, reranking, citations and grounded-answer strategies.

2. Tools and controlled workflows

Design tool schemas, authorisation and human approval points.

3. Evaluation and red teaming

Measure groundedness and task success; test prompt injection and unsafe retrieval.

Progress review: Practical exercise, feedback and a demonstration of the level’s learning outcomes. Duration is agreed for the selected level and audience.

Advanced3 modules

Entry guidance: Intermediate-level skills and the ability to complete applied exercises independently.

1. Production reliability

Bound costs, latency, retries and model-provider failures.

2. Privacy and access controls

Enforce document permissions, logging boundaries and data retention.

3. AI application capstone

Deliver an evaluated retrieval application with citations, access checks and operational documentation.

Progress review: Practical exercise, feedback and a demonstration of the level’s learning outcomes. Duration is agreed for the selected level and audience.

Learning experience

Less presentation.
More participation.

Participants work with relevant situations, guided practice, peer discussion, reflection and practical action planning.

01

Contextual cases

Scenarios and examples connected to participant roles and business reality.

02

Guided practice

Structured exercises that make new behaviours safer to try and easier to repeat.

03

Application tools

Frameworks, checklists, templates and action plans designed for use after the course.

Completion credential

Certificate
of participation.

Certificate available, subject to the agreed delivery design and participation requirements.

CRASKILLS.Certificate of
Participation
Delivery options

Right-sized for your
learning objective.

01

Beginner foundation pathway

Instructor-led • Offline / Online • Customisable

02

Intermediate applied practitioner pathway

Instructor-led • Offline / Online • Customisable

03

Advanced project pathway

Instructor-led • Offline / Online • Customisable

04

Complete three-level learning journey

Instructor-led • Offline / Online • Customisable

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Frequently asked questions

Useful answers
before you begin.

Is this course suitable for beginners?

The beginner level introduces this subject. Review the audience requirements: some technical pathways require programming or mathematics. Intermediate and advanced entry requires equivalent skills or completion of the preceding level.

Can this course be customised for our organisation?

Yes. Examples, activities, terminology, case situations, duration and outcomes can be contextualised for your industry and participant roles.

Can the course be delivered online and offline?

Available delivery modes for this course are Offline / Online. The final format is agreed around group size, location and learning objectives.

Will participants receive a certificate?

Certificate available. Any participation or completion requirements are confirmed in the agreed course proposal.

How can we request a proposal?

Use the enquiry button and share your audience, preferred dates, location, delivery mode and expected outcomes. The Craskills team will recommend an appropriate design.

— Let’s shape the right experience

Bring this course
to your people.

Share your audience, location, preferred duration, current challenges and expected outcomes.

Request a course proposal
Craskills insights

Practical ideas for better work.

Occasional perspectives on leadership, learning, AI, HR and workplace capability.