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CertifiedThis program is designed for professionals who want to master enterprise‑grade AI systems. You’ll learn how to design, implement, and deploy Generative AI, Agentic AI, and Multi‑Modal AI solutions with full DevOps/MLOps/LLMOps integration. The course blends hands‑on labs, industry use cases (Healthcare, Retail, Banking, Supply Chain, Telecom), and a Capstone Project to prepare you for real production environments.
📌 Key Highlights
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Generative AI Foundations → LLMs, embeddings, fine‑tuning (LoRA, RLHF).
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RAG Pipelines → retrieval‑augmented generation for grounded, evidence‑based outputs.
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Vector Databases → FAISS, Pinecone, Weaviate for semantic search across enterprise data.
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Agentic AI Systems → lifecycle (Goal → Plan → Act → Observe → Learn), tool‑using agents, memory systems, self‑reflection.
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Multi‑Modal AI → text, vision, audio, sensor fusion for enterprise use cases.
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Enterprise Safety & Governance → RBAC, audit trails, compliance logging, human‑in‑loop approvals.
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Advanced AI Concepts → neuro‑symbolic AI, federated learning, synthetic data, blockchain auditability.
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DevOps/MLOps/LLMOps → Git‑first workflows, CI/CD pipelines, Docker, Kubernetes, MLflow, monitoring with Grafana.
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Libraries & Tools (Industry‑Standard) → • LangChain / LlamaIndex → agent orchestration, RAG pipelines, knowledge graphs. • Hugging Face Transformers / Diffusers / TRL / PEFT → LLMs, generative AI, RLHF, fine‑tuning. • FAISS / Pinecone / Weaviate / Milvus → vector DB storage. • SDV / CTGAN → synthetic data generation. • Flower / TensorFlow Federated → federated learning. • Guardrails AI / AgentOps / EvidentlyAI → safety, monitoring, drift detection. • MLflow / DVC → model lifecycle management. • Docker + Kubernetes + Helm + Terraform → deployment & infrastructure automation. • Prometheus + Grafana / Elastic / Splunk → observability & monitoring.
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