Generative AI Engineer
Transformers, prompt engineering, LangChain, RAG, fine-tuning, and LLMOps.
What this program delivers
Build production-oriented Generative AI skills — from transformer foundations and prompt engineering to RAG systems, fine-tuning, agents, and LLMOps deployment.
What Will You Learn?
Module names only — structured for job-ready outcomes.
Introduction to Generative AI, Deep Learning Foundations, and NLP Basics
The Transformer Architecture (Self-Attention, Encoders, Decoders, and GPT/BERT Core)
Prompt Engineering Techniques (Few-Shot, Chain-of-Thought, and System Prompts)
Large Language Model (LLM) APIs & Frameworks (OpenAI, Anthropic, Hugging Face)
Building AI Orchestration Applications (LangChain & LlamaIndex Frameworks)
Retrieval-Augmented Generation (RAG) (Vector Databases, Embeddings, and Semantic Search)
Advanced RAG Architectures (Hybrid Search, Re-ranking, and Multi-step Retrieval)
Fine-Tuning LLMs (Parameter-Efficient Fine-Tuning, LoRA, QLoRA, and Data Preparation)
Model Alignment & Reinforcement Learning (RLHF, DPO, and Guardrails)
Multi-Modal GenAI (Vision-Language Models, Audio Processing, and Image Generation Foundations)
Autonomous AI Agents (Tool Use, Function Calling, Reasoning, and Multi-Agent Systems)
LLMOps & Production Deployment (Model Quantization, Evaluation Frameworks, and Cost/Latency Optimization)
Course Highlights
Who Can Join?
- Developers entering AI engineering
- Data professionals upskilling to GenAI
- Engineers building LLM applications
Career Opportunities
- Generative AI Engineer
- LLM Application Developer
- AI Solutions Engineer
- Prompt / RAG Engineer
Why Learn Generative AI?
GenAI is reshaping every industry. Learn practical LLM application skills employers hire for — plus free Corporate 360.
Ready to enroll in Generative AI?
Get FREE Corporate Success Training with your technical course enrollment.