Instructor - Advanced GenAI at Fullstack Academy Remote

Position Overview: The Online Trainer – Advanced Generative AI plays a key role in delivering engaging and impactful learning experiences to adult learners enrolled in our advanced Generative AI programmes. The trainer will facilitate live online training sessions covering Generative AI, Large Language Models, Prompt Engineering, RAG, LLM Applications, AI APIs, Multimodal AI, AI‑powered automation, and emerging Generative AI technologies. This role involves explaining advanced Generative AI concepts, demonstrating practical applications of LLMs and AI tools, conducting hands‑on demonstrations using modern GenAI platforms and frameworks, and connecting technical concepts with real‑world business applications. The ideal candidate should have strong hands‑on experience building or implementing LLM‑powered applications, RAG pipelines, AI‑powered solutions, prompt engineering workflows, multimodal AI applications, AI automation solutions, and enterprise Generative AI use cases. Classes are delivered 100% online in a synchronous, instructor‑led format.

Key Responsibilities: Deliver live online instructor‑led training sessions covering Advanced Generative AI, Large Language Models, Prompt Engineering, RAG, AI APIs, LLM applications, and AI‑powered automation. Cover advanced Generative AI topics including: Generative AI fundamentals and evolution Large Language Models and LLM architectures Foundation models and modern LLMs Prompt Engineering and advanced prompting techniques Structured prompting and prompt optimisation System prompts and instruction design Retrieval‑Augmented Generation (RAG) Embeddings and semantic search Vector databases and knowledge retrieval LLM context windows and context management Function calling and tool integration LLM APIs and application development LLM orchestration Fine‑tuning and model customisation Model evaluation and output quality Hallucination mitigation and factuality Multimodal Generative AI Text, image, audio, and video generation AI‑powered workflow automation Generative AI applications in enterprise environments AI coding assistants and developer productivity tools Responsible AI, security, privacy, bias, and governance Emerging Generative AI technologies and industry trends Prepare and continuously update: Training presentations Learning materials Practical exercises Hands‑on activities Generative AI demonstrations Prompt Engineering exercises LLM application demonstrations RAG demonstrations Real‑world business case studies Templates and reference materials Conduct interactive workshops, Q&A sessions, knowledge checks, guided practice, and hands‑on demonstrations.