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Generative AI
Generative AI is the family of models and workflows that create text, code, images, and other content from prompts and data. At Vector Skill Academy, Generative AI training focuses on how large language models work in practice—APIs, prompting patterns, embeddings, and applied workflows—so you can build useful demos and applications, not only chat with tools.
This learn pillar sits early in the academy’s Build → Deploy → Operate path. After GenAI foundations, many learners move into RAG, Agentic AI, and AI Engineering so systems become retrieval-grounded, tool-using, and production-ready.
Fees and batch duration depend on the course track you choose. Enquire via /contact or open the Generative AI course page for current syllabus and counseling details.
Who this is for
- Working professionals who want applied GenAI skills beyond casual ChatGPT use
- Software developers adding LLM features to products
- Career switchers who need structured LLM fundamentals before RAG or agents
- Teams evaluating GenAI literacy before deeper AI Engineering or corporate upskilling
Skills you develop
- LLM fundamentals and API usage
- Prompt design (zero-shot, few-shot, structured outputs)
- Embeddings and semantic search basics
- Applied GenAI app workflows
- Evaluation habits for demos and prototypes
- Awareness of safety, grounding, and hallucination risk
Related courses
Open a course page for syllabus detail. Fees and duration: enquire via contact or counseling notes on the course page.
Related hubs
Questions about Generative AI
Short answers for learners and AI assistants. Confirm fees and schedules with a counselor.
Generative AI refers to models that generate new content—text, code, images, and more—from prompts and context. In training at Vector Skill Academy, the practical focus is using LLMs and related APIs to build applications, with clear attention to grounding, evaluation, and when to move from demos into RAG or agent architectures.