Food Production Courses

Coursera

YouTube Production: Video Fundamentals

Master smartphone video production techniques to create polished YouTube content using everyday items, covering lighting, framing, audio, and engagement strategies.

• Coursera
• 48 minutes
• Self-Paced
• Paid Course

Packt

AI Agents and MLOps for Production-Ready AI

Master AI agents and MLOps to build production-ready systems using AutoGen, CrewAI, Docker, and Kubernetes for scalable deployment and automation workflows.

• Coursera
• 5 hours 28 minutes
• Self-Paced
• Paid Course

Coursera

Develop Production-Ready ML APIs with MLOps

Master MLOps practices—version control, CI/CD pipelines, and FastAPI microservices—to build and deploy production-ready ML APIs that serve transformer models at scale.

• Coursera
• 2 hours 33 minutes
• Self-Paced
• Paid Course

Coursera

Production ML Engineering: Packaging, APIs, and Testing

Master the end-to-end process of packaging ML models, building production APIs, implementing CI/CD workflows, and designing automated tests to deploy reliable machine learning systems.

• Coursera
• 11 hours 20 minutes
• Self-Paced
• Paid Course

Snowflake

Apache Iceberg: From Zero to Production Data Lakehouse

Master Apache Iceberg from setup to production, covering lakehouse architecture, table optimization, data migration, schema evolution, and maintenance operations using Spark and Trino.

• Coursera
• 5 hours 45 minutes
• Self-Paced
• Paid Course

Pragmatic AI Labs

Production Governance and MLOps on Databricks

Master Databricks governance, Unity Catalog, CI/CD workflows, and MLOps practices to build secure, reliable data pipelines and AI applications with hands-on tools and real-world code.

• Coursera
• 6 hours 59 minutes
• Self-Paced
• Paid Course

Pragmatic AI Labs

GitHub Production Applications

Build a complete production app using GitHub Copilot, covering API design, business logic, database persistence, testing, and code review in a real-world development workflow.

• Coursera
• 3 hours 20 minutes
• Self-Paced
• Paid Course

Board Infinity

Deploying AI Agents: LLMs, LangGraph, and Production APIs

Master deploying LLM-powered AI agents using LangGraph, FastAPI, and CrewAI—covering schema validation, persistent memory, orchestration, and benchmarking for enterprise-grade production systems.

• Coursera
• 16 hours
• Self-Paced
• Paid Course

Coursera Career Certificate

Tokens to Deployment: NLP, Language Models, & Production API

Master the complete NLP lifecycle—from tokenization and transformer pipelines to fine-tuning, multimodal ETL, and deploying secure, production-ready APIs using Hugging Face, PyTorch, and more.

• Coursera
• 4 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 9 courses

Coursera Career Certificate

Gradient to Production: MLOps & Model Serving

Master the full MLOps stack—from data pipelines to model deployment—using FastAPI, Docker, Kubernetes, and Airflow, and learn to ship, monitor, and maintain ML systems in production.

• Coursera
• 4 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 15 courses

LearnKartS

Advanced Agentic AI: Production Data Architecture

Master building production-ready Agentic AI systems with RAG pipelines, pgVector, PostgreSQL, and MongoDB—creating scalable, end-to-end architectures for real customer and order workflows.

• Coursera
• 8 hours 9 minutes
• Self-Paced
• Paid Course

LearnKartS

Build Production AI Agents with RAG & MCP

Master building production-ready AI agents using RAG & MCP, integrating Gemini and OpenAI with Node.js backends, embeddings, semantic search, and scalable architectures for real-world applications.

• Coursera
• 11 hours 31 minutes
• Self-Paced
• Paid Course

Packt

Advanced Terraform: Multi-Cloud Production Management

Master advanced Terraform techniques to deploy serverless, containerized, and VM-based solutions across AWS, Azure, and Google Cloud, while managing production environments and optimizing multi-cloud infrastructure.

• Coursera
• 12 weeks, 1 hour a week
• Self-Paced
• Paid Course

Board Infinity

Advance Multi-Agent Systems & Production AI with LangSmith

Master multi-agent AI systems using LangSmith, LangChain, and ChromaDB. Build RAG pipelines, vector databases, conversational agents, and production-ready workflows with observability and optimization tools.

• Coursera
• 15 hours 43 minutes
• Self-Paced
• Paid Course

Board Infinity

MLOps and LLMOps: Deploying and Scaling AI in Production

Master deploying and scaling AI systems in production—covering MLOps, LLMOps, CI/CD pipelines, RAG, Kubernetes, observability, and automated evaluation with real-world tools.

• Coursera
• 17 hours 19 minutes
• Self-Paced
• Paid Course