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End-to-End GenAI Model Engineering - OneDDL - 08-04-2025
![[Image: 03888c92818dce1b272ead24f602ae2f.webp]](https://i125.fastpic.org/big/2025/0804/2f/03888c92818dce1b272ead24f602ae2f.webp)
Free Download End-to-End GenAI Model Engineering
Published 8/2025
Created by Starweaver Team
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Expert | Genre: eLearning | Language: English | Duration: 68 Lectures ( 4h 38m ) | Size: 3.52 GB
Designing and Operationalizing the Full Stack of Generative AI
What you'll learn
Execute fine-tuning workflows for custom model development with evaluation frameworks.
Implement production deployment strategies with infrastructure planning and monitoring systems.
Construct comprehensive maintenance protocols with automated scheduling and performance tracking.
Apply advanced deployment patterns for diverse GenAI applications with scalability considerations.
Requirements
Advanced Python programming and ML frameworks.
Experience with cloud platforms and containerization.
Understanding of model training and evaluation.
Knowledge of production system architecture
Description
Are you frustrated with generic AI models that fail to understand your specific domain or business needs? You're not alone. Many organizations struggle to move beyond demo-level AI prototypes to robust, production-grade systems that deliver real, consistent value. This course is designed to bridge that gap - transforming you into a highly capable GenAI production engineer who can build, scale, and maintain advanced generative AI solutions tailored for real-world enterprise use.Throughout this course, you'll gain hands-on experience fine-tuning foundation models for domain-specific tasks, implementing scalable deployment architectures, and integrating safety, performance, and monitoring frameworks into your production pipelines. You'll explore cutting-edge techniques such as parameter-efficient fine-tuning (PEFT), retrieval-augmented generation (RAG), and robust evaluation methods. Additionally, you'll design and manage infrastructure that supports continuous learning, automated retraining, and high availability under enterprise-grade workloads.By the end, you'll have the skills to manage the complete GenAI lifecycle - from custom model development to bulletproof deployment and long-term maintenance. This isn't about building another chatbot demo. It's about developing reliable, secure, and high-performing systems that drive real business outcomes.Join the next generation of AI engineers responsible for building the mission-critical GenAI systems powering tomorrow's most innovative companies - and become the production-ready specialist every organization needs.
Who this course is for
ML Engineers specializing in production systems.
DevOps Engineers handling AI deployments.
Platform Engineers building AI infrastructure.
Technical Architects designing scalable AI systems.
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