Software Fundamentals and Computer science

• Algorithms & Data Structures (Problem analysis, Data Models, Analysis techniques)

• Object-Oriented Programming (OOP) (Core principles, Design Patterns, UML)

• System Internals (Architecture, Parallelism, Optimization, Low-Level topics like ELF files)

• Maths (Foundation and Advanced concepts)

Architecture and Design

• Software Architecture (Strategy, Decisions, System Qualities/Non-Functional Requirements)

• Design Patterns (Solutions, Catalog study, Practical Application)

• Domain-Driven Design (DDD) & Event Storming (Modeling, Ubiquitous Language, Collaborative discovery)

• Microservice Architecture (Modularity, Service Boundaries, Deployment Strategies)

• Interservice Communication (Patterns, Decoupling, Resilience)

• API Design (Interfaces, Standards like RESTful/GraphQL, Usability)

Core Programming Languages and Frameworks

• C/C++ (Basics to Deep Dive, Advanced templates/metaprogramming, Performance focus)

• Python Ecosystem (Fundamentals, Key libraries/data science tools, Scripting/Automation)

• Java & Spring Boot (Java Core, Spring ecosystem, Building microservices)

• Go (Fundamentals, Idiomatic Concurrency, Advanced network services)

• C# & .NET (C# language, Full .NET platform, Modern cross-platform dev)

• JavaScript / Frontend (Core JS/Node.js/TypeScript, React/Angular, Modern UI frameworks like Svelte/Blazor)

Data and Database Management

• Introduction to Databases (Fundamentals, Relational Model, Data Integrity)

• Oracle (SQL Mastery, PL/SQL development, Administration/Tuning)

• DB2 (Advanced SQL, Stored Procedures, Optimization/Administration)

• Database Design (Modeling, Normalization, Schema creation)

• Advanced Database Concepts (NoSQL, Transactions/Concurrency, Advanced Indexing)

• Decision Support Systems (Data Warehousing, BI & OLAP, ETL processes)

DevOps and Infrastructure

• Git (Fundamentals, Advanced branching/merging, Best Practices)

• Linux (Basics, Automation/Bash Scripting, System Admin)

• Containerization & Orchestration (Docker, Kubernetes/K8s, Scalability solutions)

• Cloud: Azure Cloud and Azure DevOps (Cloud Services, DevOps Tools, Migration Strategies)

• Infrastructure as Code (IaC) (Automation, Terraform, Ansible)

• Software Dev Processes (Workflow, Quality/Code Review, CI/CD Pipelines)

QA and Testing

• Software Testing (Manual & Fundamentals) (Core principles, Manual testing techniques, Planning/Test cases)

• Automated Testing (Strategy, Tools, Implementation/Maintenance)

• API Testing (Validation/Performance, JMeter for load testing, Postman for functional testing)

• Behaviour-Driven Development (BDD) (Collaboration, Gherkin specifications, Frameworks integration)

Embedded and IoT

• IoT - Edge and Cloud (Fundamentals, Edge Computing, Cloud Integration)

• Arduino (Platform introduction, Programming, Sensor interfacing)

• RTOS (Real-Time concepts, Scheduling, Reliability for time-critical applications)

• Niche Workshops (Specialized training, Deep Dives, Emerging Tech trends)

ML and AI

• Scientific Python (Pandas, NumPy, Matplotlib)

• ML - Models + Inference (Fundamentals, Modeling/Evaluation, Deployment/Inference, Beginner Level)

• AI for Development (Coding Tools like GitHub Copilot, Research tools like Claude/Perplexity, Productivity)

• AI Literacy for Non-Tech People (Understanding concepts/terminology, Impact, Ethics, Practical use)

Regulatory

• EU AI Act (Legislation, Compliance for high-risk/low-risk systems, Responsible deployment)

• GDPR (Data Protection, Data Subject Rights, Lawful processing/transfers)

Cybersecurity

• Security Awareness (Security mindset/culture, Recognizing threats, Best Practices)

• Cyber Resilience Act (CRA) (Legislation, Compliance requirements, Impact on product development)

• Security for Non-Tech People (Practical steps, Data Protection, Incident Reporting)

Professional and Business Skills

• Office Suite (Office 365, Word, Excel from intro to advanced, PowerPoint)

• Process Management (Agile, Jira/XRay usage/administration, Workflow/Project tracking)

• Tech Management (Hiring/Tech Interviews, Code Reviews, Team Leadership/Mentoring)

• Recruitment (IT Focus, AI Tools for Recruiters, Strategy/Candidate pipelines)

• Culture (Professional Ethics, Bridging the Generation Gap, Organizational Culture)