Food Production Courses

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

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
• 2 weeks, 4 hours a week
• 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
• 3 weeks, 4 hours a week
• Self-Paced
• Paid Course

Coursera

Validating and Safeguarding Production AI

Discover how to build robust production AI systems with automated monitoring, drift detection, secure deployment, and continuous retraining pipelines for reliable MLOps.

• Coursera
• 16 hours 44 minutes
• Self-Paced
• Paid Course

Coursera

Advancing Your Career in Production AI

Unlock strategic career advancement in production AI by building portfolios, mastering technical interviews, and positioning yourself for senior roles like MLOps Engineer and AI Architect.

• Coursera
• 1 hour 23 minutes
• Self-Paced
• Paid Course

KodeKloud

Deploy ML Models to Production

Master MLOps by deploying ML models from development to production using MLflow, BentoML, and AWS SageMaker with hands-on insurance claim application project.

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

Coursera

Designing Production LLM Architectures

Master production-ready LLM system design, from architecture decisions to scalable microservices, deployment strategies, and automated data pipelines for real-world applications.

• Coursera
• 5 weeks, 2 hours a week
• Self-Paced
• Paid Course

Coursera Career Certificate

Chroma, Weaviate & Production RAG Deployment

Master vector databases and RAG deployment with Chroma and Weaviate, building production-ready search systems with advanced patterns, security, and optimization techniques.

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

Career Certificate

Music Creation Essentials: Theory, Writing, and Production

Master music theory, melody writing, and production in Ableton Live to create complete tracks across any genre with professional workflows and songwriting techniques.

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

Coursera Career Certificate

ML Production Systems

Master containerization, deployment, and MLOps practices to transform ML models into scalable production systems using Docker, Kubernetes, and automated pipelines.

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

Food Photography (Self-Paced)

Learn how to put together mouth-watering food images through thoughtful styling, lighting, and composition.

• CourseHorse
• Self-Paced
• $74.00

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
• 4 weeks, 4 hours a week
• Self-Paced
• Paid Course

Pragmatic AI Labs

Build a Production SaaS Application with AI

Master building a complete SaaS app with AI tools—covering FastAPI development, Docker containerization, CI pipelines, landing pages, pricing tiers, API authentication, and deployment from MVP to production launch.

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

Packt

Flask Fundamentals, App Basics, and Food Tracker App

Master Flask web development by building real-world apps—routing, SQLAlchemy databases, Jinja2 templates, user authentication, REST APIs, and cloud deployment on Amazon Lightsail.

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

Career Certificate

Machine Learning Engineering for Production (MLOps)

Develop production-ready ML systems: conceptualize, build, and maintain integrated solutions that handle evolving data, operate continuously, and balance cost with performance for real-world AI applications.

• Coursera
• 17 weeks, 6 hours a week
• Self-Paced
• Paid Course
• 4 courses