1. Python & AI Developers (The Foundation) In the context of Vinsys, Python isn't just a language; it’s the bridge to Data Science and Machine Learning. Core Skills: Advanced Python (Decorators, Generators), NumPy, Pandas, and Scikit-learn. AI Specialization: Experience with Deep Learning frameworks like TensorFlow or PyTorch. Trainer Profile: Look for someone who can explain the math behind algorithms (Linear Algebra, Statistics) but also build real-world automation scripts. Vinsys Focus: We should be able to prepare students for certifications like Microsoft Certified: Azure AI Engineer Associate. 2. Java Developers (Enterprise Scale) Java remains the backbone of corporate backend systems. For Vinsys, you need experts who understand the modern ecosystem. Core Skills: Java 17+, Spring Boot, Microservices architecture, and Hibernate. Modern Needs: Cloud-native Java (Docker, Kubernetes) and Unit Testing (JUnit/Mockito). Trainer Profile: Someone who can teach "Clean Code" principles and design patterns. They should be familiar with enterprise-grade deployment. 3. React & Frontend Developers (The User Experience) Since you are likely training full-stack developers, your React hires need to be "Modern React" experts. Core Skills: React Hooks, Context API, Redux Toolkit, and Next.js. Integration: Ability to connect frontends with Python/Java backends via REST APIs and GraphQL. Trainer Profile: A developer who focuses on Performance Optimization and State Management. They should be able to teach how to build "production-ready" dashboards. 4. Generative AI (GenAI) Specialists (The New Frontier) This is your most high-value hire right now. These individuals need to understand LLMs (Large Language Models). Core Skills: Prompt Engineering, LangChain, LlamaIndex, and working with APIs (OpenAI, Anthropic, Gemini). Advanced Skills: Retrieval-Augmented Generation (RAG), Vector Databases (ChromaDB, Pinecone), and Fine-tuning models. Vinsys Focus: We should be able to create "GenAI for Executives" or "GenAI for Developers" modules.