All Trainings in detail

The financial backbone of every SAP landscape.

FICO is where every goods movement, sale and payroll ultimately posts. This track follows the real path of a finance functional consultant: designing the chart of accounts, configuring company codes and controlling areas, running the month-end close, and reporting internally through cost centres and profitability analysis. You'll configure on a live server, not just watch slides.

Procure-to-pay, inventory and vendor management.

MM owns everything between 'we need this material' and 'it's paid for and sitting on the shelf.' You'll configure the purchasing organisation, run the full procure-to-pay cycle, handle inventory movements and invoice verification, and see exactly where MM hands off to FI and SD in a live chain.

The complete order-to-cash cycle.

SD covers the customer-facing side of the supply chain — the moment a lead becomes a quotation, the order that follows, and every step until cash lands in the bank. Heavy focus on the pricing engine and availability check, since these are the pieces most projects get wrong first.

Plan and run manufacturing on the shop floor.

From bills of material and routings through demand planning, MRP runs and live production orders. You'll cover both discrete and repetitive manufacturing, plan capacity, and confirm operations the way a planner does daily.

Build quality control into every process.

Quality doesn't sit in isolation — it's inspection at goods receipt, in production and before delivery. You'll configure inspection plans and lots, record results, raise quality notifications and score vendors on quality performance.

Keep assets running and costs predictable.

Model your technical objects — functional locations and equipment — then drive breakdown, preventive and calibration maintenance through notifications and orders, with full cost tracking.

Core HR from hire to payroll.

The engine behind organisational structure, employee data, time and payroll — plus employee and manager self-service. A strong foundation for anyone moving on to SuccessFactors.

Storage, putaway and picking, down to the bin.

Model the warehouse structure right down to the storage bin, then drive goods receipt, putaway, picking and physical inventory — including RF-guided operations used on real warehouse floors.

The language behind every custom SAP object.

ABAP is how SAP gets extended. You'll build reports, forms and interfaces, master the data dictionary, and learn to enhance standard SAP cleanly through BADIs and enhancement points — plus object-oriented ABAP and the IDOC/RFC interfaces that connect SAP to the outside world.

Install, patch, transport and monitor SAP.

The system-administration track. You'll install SAP from scratch, apply kernel and support-pack upgrades, run transports across the landscape, administer users and roles, and tune performance — all with root-level access on a dedicated BASIS server.

Build the modern SAP user experience.

Fiori is what users actually see. You'll build SAPUI5 apps, expose and consume OData services, work with Fiori Elements templates, and configure the Launchpad so every role gets the right tiles.

In-memory modelling and SQLScript.

HANA is the engine under S/4HANA. Learn its in-memory architecture, then build attribute, analytic and calculation views, write SQLScript and stored procedures, and handle data provisioning and security.

Next-generation ABAP with code pushdown.

The modern way to write ABAP. Move from classic loops to code pushdown — CDS views, AMDP and Open SQL — so heavy lifting happens in the database, and your programs run fast on HANA.

Automate approvals and business processes.

Design workflows that route work to the right person at the right time — with events, agent determination, deadline monitoring and escalation, built in the Workflow Builder.

SAP's next-generation digital core.

S/4HANA is where every SAP project is heading. Learn the Universal Journal that collapses FI and CO into one table, simplified logistics, embedded analytics and Fiori — plus the conversion and migration path from ECC that clients are paying for right now.

Cloud HXM from recruit to retire.

SAP's flagship cloud HR suite. Configure Employee Central as the core, then work across the talent modules — recruiting, onboarding, performance, compensation and learning — in your own dedicated tenant.

Cloud procurement and supplier collaboration.

Ariba runs source-to-pay in the cloud. Practise sourcing events, contract authoring, guided buying and supplier management in a live realm, plus integration back to the SAP back end.

The modern SAP data warehouse.

Build the enterprise data warehouse on HANA — model with ADSOs and CompositeProviders, extract from source systems, design queries, and feed it all into SAP Analytics Cloud.

BI, planning and predictive in one tool.

SAC brings reporting, planning and predictive analytics together. Build models, design interactive stories, run planning cycles and apply predictive scenarios — all in the browser.

Extend and integrate SAP in the cloud.

The Business Technology Platform is how modern SAP gets extended without touching the core. Build side-by-side apps with the CAP model, deploy on Cloud Foundry and connect systems with the Integration Suite.

Java, Spring Boot and a modern front end.

The most-hired enterprise stack. You'll go from core Java fundamentals through Spring Boot REST APIs and microservices, wire it all to a React or Angular front end, connect a real database with Hibernate, and deploy the finished app — finishing with a portfolio project.

Python, Django and a modern front end.

Python's readability makes it the fastest route into full-stack development. You'll master the language, build back ends in Django and Flask, expose REST APIs, connect a React front end, and deploy the result.

JavaScript from database to browser.

One language across the whole stack. Build single-page apps with React, back them with Node and Express, store data in MongoDB, secure them with JWT, and deploy — the modern startup stack.

TypeScript-first full-stack development.

Angular's structure plus a Node back end. You'll learn TypeScript properly, build enterprise-grade Angular front ends, and pair them with Express, Node and MongoDB.

C#, ASP.NET Core and SQL Server.

The Microsoft enterprise stack. Learn C# and ASP.NET Core, build Web APIs with Entity Framework, add a Blazor or Angular front end on SQL Server, and deploy to Azure.

End-to-end data science, from stats to deployment.

The complete data science path. Start with Python and statistics, move through data wrangling and visualisation, build machine learning and deep learning models, tackle NLP, and finish by deploying a model and presenting a portfolio capstone built on real data.

Applied ML engineering, done properly.

A focused, practical ML track. Master regression, classification and clustering, take feature engineering seriously, and learn to evaluate models honestly — the skills that separate real ML engineers from tutorial-followers.

Neural networks for vision and language.

Go beyond classical ML. Build neural networks from the ground up, train CNNs for computer vision and RNNs/LSTMs for sequences, and work fluently in TensorFlow and Keras.

Build production applications on large language models.

The most in-demand AI skill today. Understand how LLMs actually work, engineer prompts that hold up in production, build retrieval-augmented generation over your own documents, fine-tune models, and ship an AI application with proper guardrails.

Ship and operate machine learning in production.

Most models never reach production. This track fixes that — packaging, CI/CD for ML, containerisation, experiment tracking, feature stores and monitoring for drift.

Apply AI at work — no coding required.

A practical, non-technical track for professionals. Learn what generative AI can and can't do, write prompts that get consistent results, automate real workflows, and use AI responsibly at work.

Turn raw data into decisions.

Business intelligence that people actually use. Clean data with Power Query, build a proper star-schema model, write DAX that doesn't break, and design dashboards executives read at a glance.

Visual analytics and data storytelling.

Tableau is built for exploration. Connect to data, build calculations and parameters, design interactive dashboards, and tell a story that lands with a business audience.

Build the pipelines everything else depends on.

Data science fails without data engineering. Learn SQL properly, build ETL pipelines, process big data with Spark, orchestrate with Airflow, and load into cloud data warehouses.

Architect and deploy on Amazon Web Services.

The market-leading cloud. Learn compute, storage, networking, identity and serverless, build a secure and cost-aware architecture, and prepare for AWS certification with hands-on labs throughout.

Cloud infrastructure on the Microsoft stack.

Azure is the enterprise cloud of choice for most large organisations. Cover compute, storage, networking, Azure AD identity and Azure DevOps, with certification-focused practice throughout.

Build and scale on Google Cloud.

GCP's strength is data and containers. Cover Compute Engine, Cloud Storage, BigQuery, Kubernetes Engine and IAM, with a strong focus on data-heavy architectures.

Automate the path from commit to production.

DevOps is a toolchain and a mindset. Master Linux and Git, automate builds with Jenkins, containerise with Docker, orchestrate with Kubernetes, and manage infrastructure as code with Ansible and Terraform.

Run containers at production scale.

Kubernetes is how modern applications actually run. Understand the architecture, then work through pods, deployments, services, ingress, config, Helm packaging and production monitoring.

Admin and development on the leading CRM.

Salesforce runs sales for a huge share of the world's companies. Cover both sides — admin configuration (objects, flows, security, reports) and development (Apex, LWC, integration) — with certification prep for both paths.

Manual QA, done the professional way.

Testing is a discipline, not an afterthought. Learn the SDLC and STLC, design test cases that actually find bugs, manage defects properly, test APIs, and work the way QA does inside an Agile team.

Automate testing with Selenium and TestNG.

Move from manual to automation. Drive the browser with Selenium WebDriver, structure suites with TestNG, build a maintainable Page Object framework, and run it all from Jenkins in CI.

Full-funnel marketing, measured properly.

Marketing that's accountable to numbers. Cover SEO, Google Ads, social, email and content — then measure everything in Google Analytics and learn to report on what actually drove results.

Design products people can actually use.

Design is research plus craft. Learn user research and information architecture, wireframe and prototype in Figma, apply visual and interaction design principles, and validate with usability testing.