I had a nice experience at Creative-I-Lab. I liked the way the classes were conducted and the learning environment was comfortable. The teachers were supportive and I learned a lot during the course.
LLM Prompt Engineering & GenAI Applications
The Prompt Engineering Course teaches you how to design, refine, and optimize prompts for advanced LLMs and generative AI systems. Through hands-on tasks, real-world projects, and industry tools, you will gain expertise in prompt patterns, chatbot prompting, AI workflow automation, NLP, and LLM evaluation, preparing you for a career in AI-driven roles.
11 Lessons
Prompt Patterns, RAG & LLMOps
Beginner Level
No Prerequisites Required
LangChain & GenAI
LlamaIndex, PEFT & Vector DBs
Capstone Project
Production-Ready GenAI Application
What you’ll learn
Learn foundational Generative AI & LLM mechanics alongside core Prompt Engineering principles.
Build applications using LLM APIs, SDKs, and orchestration frameworks like LangChain and LlamaIndex.
Implement Retrieval-Augmented Generation (RAG) systems integrated with Vector Databases and Embeddings.
Architect end-to-end Generative AI systems and evaluate them for enterprise use cases.
Explore advanced topics including Multimodal LLMs, Fine-Tuning, PEFT (Parameter-Efficient Fine-Tuning), and LLMOps.
Develop and deploy a production-ready Generative AI application in a practical Capstone Project.
Skills you'll gain
Prompt Engineering
LLM Application Development
Retrieval-Augmented Generation (RAG)
Vector Embeddings
Multimodal AI
Fine-Tuning & PEFT
LLM Evaluation LLMOps
Tools you'll learn
LangChain
LlamaIndex
Vector Databases
LLM APIs & SDKs
Generative AI Models
PEFT Tools
Gain expertise in prompt patterns, chatbot prompting, AI workflow automation, NLP, and LLM evaluation through practical projects and hands-on application development.
- Course Level: Beginner
- Total Duration: 36 Hours
- Total Curriculum: 11 Lessons
- Training Mode: Classroom (Offline)
- Prerequisites: There are no prerequisites for enrolling in this course, anyone interested can join!
- Target Audiences: AI and Machine Learning roles across research, engineering, product, data, consulting, and creative domains.
Curriculum
36 Hours
|
Beginner
What you’ll learn
Master the core concepts of Generative AI, Large Language Models, and underlying neural architectures.
Skills you'll gain
LLM Foundations
Generative AI Concepts
What you’ll learn
Design, structure, and refine prompts using proven industry prompt patterns and zero/few-shot techniques.
Skills you'll gain
Prompt Design
Prompt Optimization
What you’ll learn
Integrate LLM APIs and SDKs into custom applications to automate tasks and build conversational interfaces.
Skills you'll gain
API Integration
SDK Development
What you’ll learn
Leverage LangChain and LlamaIndex to chain components, manage memory, and index data effectively.
Skills you'll gain
LangChain
LlamaIndex
What you’ll learn
Build RAG pipelines that leverage vector embeddings and semantic search to ground model responses.
Skills you'll gain
RAG Architecture
Vector Search
What you’ll learn
Assemble complete, multi-component Generative AI workflows ready for complex interaction.
Skills you'll gain
System Integration
GenAI Architecture
What you’ll learn
Assess model output quality, manage hallucinations, and align GenAI tools with enterprise requirements.
Skills you'll gain
Enterprise AI
Model Evaluation
What you’ll learn
Process and generate combinations of text, image, and audio data using multimodal model frameworks.
Skills you'll gain
Multimodal AI
Advanced LLM Architectures
What you’ll learn
Customize open-weight models using Parameter-Efficient Fine-Tuning (PEFT) methods like LoRA and QLoRA.
Skills you'll gain
Model Fine-Tuning
PEFT / LoRA
What you’ll learn
Implement CI/CD pipelines, monitoring, and automated performance evaluation for deployed LLM apps.
Skills you'll gain
LLMOps
Production Monitoring
What you’ll learn
Architect, build, evaluate, and deploy a complete production-grade Generative AI application from scratch.
Skills you'll gain
End-to-End GenAI Engineering
Production Deployment
Success Stories That Inspire
See how our students transformed their skills, built strong portfolios, and launched successful creative careers.
I joined Creative-I-Lab to improve my skills and I am happy with my decision. The classes are easy to understand and the trainer explains the topics with good examples. I also liked that the batches are small.
Sachin Ghule
I really liked learning at Creative-I-Lab. The teachers are friendly and explain everything in a simple way. The classes are easy to understand and the overall experience was good.
