This AI-ML Architect with Generative AI training program is designed to build advanced skills in designing, deploying, and scaling enterprise AI solutions. The course begins with AI and machine learning fundamentals, including data preparation, feature engineering, and model lifecycles, followed by deep learning concepts and modern LLM architectures. Learners gain hands-on experience with model training, evaluation, and deployment using cloud-based platforms, along with MLOps practices such as CI/CD for models, experiment tracking, and monitoring. The Generative AI module focuses on large language models, prompt engineering, embeddings, and RAG architectures, enabling participants to build intelligent applications such as chatbots, document search engines, and AI agents. The program also covers governance, ethics, security, and cost optimization for production AI systems. Real-world capstone projects and case studies ensure architects can translate business requirements into scalable, reliable, and responsible AI solutions.
This training would be 60% lab and real world use case and some theory