Our Generative AI program is a cutting-edge 3-month course covering Large Language Models, Prompt Engineering, Retrieval-Augmented Generation (RAG), fine-tuning, and multimodal AI. Build and deploy GenAI applications using GPT-4, Claude, Llama, Stable Diffusion, and LangChain with real-world project experience.
Aevoriq Academy � Course
A 3-month immersive program covering Large Language Models, Prompt Engineering, Retrieval-Augmented Generation, fine-tuning, and multimodal GenAI app development. Build and ship real AI-powered applications using the industry's most powerful tools.
Enroll Now 3 Months • Live + Recorded • CertificateWhat You Will Learn
Understand how large language models work � transformers, attention, tokenisation, and the GPT architecture.
Master zero-shot, few-shot, chain-of-thought, and structured prompting strategies to get the best from any LLM.
Build intelligent Q&A and search systems by combining vector databases with LLMs using LangChain.
Fine-tune open-source models (Llama, Mistral) on custom datasets using LoRA/QLoRA for domain-specific tasks.
Work with DALL�E, Stable Diffusion, and CLIP. Build text-to-image, image captioning, and vision-language apps.
Deploy production GenAI applications with FastAPI, Streamlit, and cloud platforms. Build end-to-end AI products.
Modules
History of AI, LLM architecture, transformer models, GPT, BERT, tokenisation basics
Zero-shot, few-shot, CoT, self-consistency, ReAct, structured output prompting
Chains, agents, tools, memory, document loaders, LangChain Expression Language (LCEL)
Embeddings, Pinecone, ChromaDB, FAISS, semantic search, RAG pipelines
Llama 2/3, Mistral, LoRA, QLoRA, PEFT, dataset preparation, evaluation
Stable Diffusion, ControlNet, DALL�E 3, GPT-4 Vision, CLIP, image generation pipelines
Streamlit, Gradio, FastAPI backends, auth, rate limiting, cost optimisation
Full GenAI app end-to-end, portfolio, resume, mock interviews, hiring connect
Tech Stack
Enrol today and start shipping real GenAI products within weeks.
Enroll Now