Ignit AI - Advanced Generative AI

Enterprise-Level Mastery

Advanced Generative AI Course

Master enterprise-scale generative AI deployment with advanced fine-tuning techniques, RAG pipelines, and responsible AI governance. Learn to architect, scale, and monitor production-ready generative systems across diverse domains including legal, healthcare, and complex conversational applications.

RAG & Knowledge Retrieval

Parameter-Efficient Fine-tuning

Responsible AI & Governance

Scalability & Cost Optimization

This comprehensive course bridges the gap between generative AI research and enterprise deployment, covering advanced evaluation metrics, human-in-the-loop systems, and multimodal architectures for real-world applications.

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Course Overview

Key Features

Advanced 10-Lesson Enterprise-Grade GenAI covering scaling, optimization, and production deployment
Production-Scale Architecture training with distributed serving, load balancing, and infrastructure monitoring
Domain-Specific Specialization in legal, healthcare, and regulated industry applications
Comprehensive Evaluation Framework using BLEU, ROUGE, METEOR, and human-in-the-loop assessments
Responsible AI Integration with fairness audits, governance frameworks, and regulatory compliance
Complex Capstone Project architecting and deploying advanced GenAI pipeline with complete evaluation metrics

Skills You'll Master

Advanced Fine-tuning: Parameter-efficient fine-tuning (PEFT), LoRA adapters, and quantization techniques
Retrieval Systems: RAG pipeline integration, hybrid search implementation, and knowledge retrieval optimization
Cost Optimization: Efficient inference strategies, hardware accelerator utilization, and cloud vs on-premise trade-offs
Human-AI Collaboration: Reinforcement learning with feedback, task routing systems, and active learning frameworks
Enterprise Deployment: Scalability best practices, infrastructure monitoring, and retraining strategies
Multimodal AI: Vision-language models, complex conversational systems, and multimodal architecture design

Curriculum Details

Eligibility:
Extensive experience in generative AI and enterprise systems

Prerequisites:
Advanced ML/DL knowledge, production deployment experience

Duration:
10 intensive lessons + enterprise-level capstone project

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