Level 4 Agentic Software Developer Apprenticeship

Develop AI-native junior engineers who automate, prototype, and accelerate modern software delivery. This cutting-edge apprenticeship produces developers skilled in designing, deploying, and collaborating with AI agents to build faster, smarter digital solutions. As demand for AI-native talent accelerates, this programme equips your workforce to harness emerging technologies safely and effectively, whether you’re upskilling existing employees or hiring new talent. Ensuring your business stays ahead in the era of intelligent automation.

Module Overview

This 18 month programme is structured around three core modules, ensuring apprentices gain a deep understanding of full-stack engineering alongside modern, AI-native development practices.

Core Software Development

Apprentices build strong fundamentals in programming, focusing on Python as the core language. They learn to design and implement APIs, master Testing and Debugging methodologies, understand software Architecture, and produce clear Documentation.

AI & Automation Skills

This module covers cutting-edge AI skills essential for modern engineering. Topics include advanced Prompt Engineering, LLM Prototyping, building Multi-Agent Workflows, integrating Automation Tooling, and principles of AI-Native Coding and Integration.

Systems Engineering and DevOps

Focused on delivery and operations readiness, apprentices learn CI/CD (Continuous Integration/Continuous Delivery), Observability (Logs & Alerts, Monitoring), Deployment & OPS Readiness, Secure Coding practices, and how to perform Incident Support and Triage. They are also trained in creating Run-Books and participating in Change Reviews.

Value to Your Business

Apprentices on this programme deliver tangible results early in their journey.

Early Productivity: Apprentices deliver prototypes, internal tools, and documentation from the 3 month mark. They are project ready by month 6, contributing to real codebases.
AI-Native Capability: You gain developers who understand how to use AI collaboratively, safely, and critically within real engineering systems, mitigating the risk of relying on juniors who only know how to ask AI for code.
Automation Focus: Apprentices build automation pipelines and agentic workflows, accelerating engineering delivery and automating routine work.
Secure & Compliant Talent: The curriculum is designed with industry to ensure secure, compliant use of AI in regulated environments, covering governance, risk, and compliance requirements.

Example Job Roles

Graduates of this programme are well-suited for roles such as:

Junior AI Developer
Junior Software Developer
Junior Automation Developer
AI Engineering Assistant
Junior Machine Learning Engineer
Junior Full-Stack Developer
Junior Backend Developer
RPA Developer