Generative AI Engineer
Generative AI Engineer by EduNayan is a comprehensive AI, Data & Advanced Technologies program designed to take you from foundational concepts to advanced practical implementation. Through hands-on projects, real-world case studies, and structured guidance, you will master the key tools and methodologies required to succeed in this industry.
Certificate Included
Industry recognized completion certificate
Advanced
Structured learning path with guided delivery
Online
Flexible learning modes for working learners
3 Capstone Projects
Portfolio-ready hands-on builds
Expert Mentors
Instruction from working professionals
Placement Support
Career help for interviews and roles
About the Course
Generative AI Engineer by EduNayan is a comprehensive AI, Data & Advanced Technologies program designed to take you from foundational concepts to advanced practical implementation. Through hands-on projects, real-world case studies, and structured guidance, you will master the key tools and methodologies required to succeed in this industry.
Course Curriculum
Module 1: LLM Core Concepts & APIs4 topics
- Transformer architecture foundations
- Tokens, embeddings & context windows
- OpenAI & Anthropic API integrations
- Managing pricing and rate limits
Module 2: Advanced Prompt Engineering4 topics
- System prompt structures
- Few-shot and Chain-of-Thought prompting
- ReAct prompt patterns
- Mitigating model hallucinations
Module 3: RAG & Vector Databases4 topics
- Document loaders & text splitters
- Embedding models selection
- Vector database administration (Chroma, Pinecone)
- Retrieval strategies and metadata filtering
Module 4: LangChain & LlamaIndex Frameworks4 topics
- Chains and Pipelines construction
- Memory models for chat sessions
- Building custom tools for LLMs
- Agentic workflow architectures
Module 5: Model Fine-Tuning & Quantization4 topics
- Fine-tuning datasets preparation
- LoRA & QLoRA training techniques
- Model evaluation metrics (BERTScore, Ragas)
- Quantization formats (GGUF, AWQ)
Module 6: Generative AI Production Deployment4 topics
- Streamlit / Next.js frontend integrations
- API hosting with FastAPI / vLLM
- Dockerizing server setups
- Monitoring user logs and agent actions
Hands-On Projects
Build 4 production-grade projects for your portfolio
Retrieval-Augmented Generation (RAG) Chatbot
Design and deploy an intelligent conversational entity or multi-agent workflow using modern orchestration libraries and LLM API integrations.
AI Agent with Tool Calling
Design and deploy an intelligent conversational entity or multi-agent workflow using modern orchestration libraries and LLM API integrations.
Custom Fine-Tuned Model Pipeline
Design and schedule an automated utility or pipeline to ingest, clean, and write real-time data or logs to local systems.
Your Certificate
Earn an industry-recognized certificate upon completion
Official certificate for Generative AI Engineer
A shareable completion certificate is issued when you finish the course requirements successfully. Use it on LinkedIn, portfolios, and job applications.
Student Reviews
“The Generative AI Engineer course at EduNayan was a turning point for me. The practical curriculum and mock interview support gave me the tools to build actual solutions.”
“Hands-on labs and direct mentorship in the Generative AI Engineer program were incredibly helpful. It is fully aligned with modern industry trends.”
Frequently Asked Questions
Quick answers about the course
What will I learn in the Generative AI Engineer course?
In this program, you will gain hands-on expertise in Generative AI Engineer, covering core theoretical foundations, tool setups, practical exercises, and portfolio-grade capstone projects.
Do I need prior experience to enroll?
No, this course is structured to guide you from basic concepts up to advanced implementations. Having a fundamental understanding of logical thinking is helpful.
Will I receive a certificate?
Yes, on successfully completing the course requirements and capstone projects, you will receive an industry-recognized completion certificate from EduNayan.
What kind of support is available during the course?
You will have access to expert mentors for doubt clearing, step-by-step lab guidance, and dedicated support channels for troubleshooting project errors.