Forward Deployed Engineering
Learn to build, deploy and support customer-facing AI systems as an enterprise AI engineer.
Live, mentor-led courses for working professionals. Every programme includes placement assistance, interview preparation and lifetime access to materials.
Agentic workflows, RAG systems, LLM APIs and production AI engineering.
Learn to build, deploy and support customer-facing AI systems as an enterprise AI engineer.
A role-aware transition plan that turns your current engineering or data experience into credible AI work.
Ship AI features inside real products: LLM APIs, agents, evals and production patterns.
A Python course built for engineers who need to read, write and ship AI and data code.
Work across OpenAI, Anthropic, Gemini and open-source APIs with provider abstraction, context, reliability and evaluation.
Treat prompting as engineering through reasoning patterns, structured outputs, evaluation, regression testing and versioning.
Cover RAG foundations, embeddings, chunking, vector databases, retrieval, reranking, routing and evaluation.
Study agents that plan, use tools and handle multi-step work through memory, orchestration, safety and control.
Cover MCP protocol design, servers, clients, resources, tools, prompts, authentication and custom transports.
Study agent-to-agent communication through capability discovery, task lifecycle, orchestration and MCP integration.
Cover fine-tuning decisions, dataset preparation, LoRA and QLoRA, training, evaluation, serving and production pipelines.
Cover experiment tracking, feature pipelines, model registry, ML delivery, scalable serving, monitoring and controlled releases.
From analytics and visualisation to machine learning and model deployment.
Move from data analysis to predictive modelling, ML pipelines and model deployment.
Turn raw data into decisions: SQL, Power BI, dashboards and business storytelling.
Modern web engineering with React, Node, Next.js and system design.
Build modern web products with React, Node.js, Next.js and system-design fundamentals.
Study architecture decisions across patterns, distributed systems, event-driven design, resilience, scaling and operations.
Cover App Router, rendering, server and client components, caching, route handlers, server actions, performance and SEO.
Cover JavaScript foundations, React hooks and patterns, state, TypeScript, performance, testing, architecture and deployment.
Cover GraphQL schemas, server setup, database integration, access control, performance, frontend use, testing and deployment.
Cover Spring Boot services, discovery, gateways, JWT, Kafka, resilience, configuration, tracing and Kubernetes deployment.
Cover MongoDB CRUD, querying, data modeling, indexes, aggregation, Mongoose, transactions, security, scaling and Atlas.
AWS, DevOps, Kubernetes, Splunk and the platforms AI systems run on.
Deploy, monitor and scale systems on AWS with Docker, Kubernetes and CI/CD.
Learn to monitor, search and alert on machine data with Splunk and modern observability stacks.
Cover containers, Dockerfiles, optimised builds, networking, volumes, Compose, security, registries and CI/CD.
Cover Kubernetes architecture, workloads, networking, storage, RBAC, Helm, autoscaling, observability and GitOps.
Automation, API testing and AI-assisted quality engineering.
Move from manual testing to automation with Selenium, Playwright, API testing and CI/CD.
Build browser automation around WebDriver, locators, synchronisation, framework structure, reporting and CI/CD.
Cover Playwright locators, auto-waiting, API testing, authentication state, visual checks, parallelism and CI/CD.
Cover BDD principles, Gherkin, Cucumber with Java, step definitions, data-driven testing and delivery integrations.
Strategic AI literacy for managers, architects and delivery leads.
AI literacy for engineering managers, product leads and delivery heads making build-vs-buy decisions.
Tell us your background and target role. A course adviser will shortlist two or three options and explain why.
Tell us your background and target role. We will understand where you are and recommend a learning path β no payment needed.
Tell us your team size and skill goals. You will receive a proposal with curriculum, schedule and pricing within 48 hours.