Systems Administration Courses

Coursera

Architect AI Systems: From Concept to Code

Master AI system architecture using SysML and MBSE—model requirements, data flows, and retraining cycles, then generate sequence diagrams with Python to build reliable, auditable AI systems.

• Coursera
• 2 hours 18 minutes
• Self-Paced
• Paid Course

Edureka

Generative AI Models and GPU Systems

Master generative AI by exploring VAEs, GANs, and diffusion models, then scale and deploy them using GPU optimization, mixed precision, and distributed training strategies.

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

EDUCBA Credential

Analyze and Manage Enterprise Data Analytics Systems

Master enterprise data analytics using Splunk to transform machine data into actionable insights, manage infrastructure, and automate monitoring processes across distributed systems.

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

Board Infinity

Visual Branding with Canva: Building Complete Brand Systems

Master complete brand identity systems using Canva and AI tools, from strategy to scalable visual frameworks, templates, and consistent asset delivery.

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

Coursera Credential

Blueprint to Bytecode: Architecting Scalable AI Systems

Master the full AI systems lifecycle—from data pipelines and GPU clusters to cloud deployment—using Kubernetes, Docker, SageMaker, and MLOps best practices to build scalable, production-ready enterprise AI solutions.

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

Edureka Credential

Mastering CrewAI for Multi Agent Systems

Master CrewAI to design, build, and deploy multi-agent AI systems—covering custom tools, Agentic RAG, workflow orchestration, guardrails, and production monitoring with AgentOps and LangSmith.

• Coursera
• 8 weeks, 5 hours/week
• Self-Paced
• Paid Course
• 3 courses

Coursera Credential

Pixels, Waveforms & Words: Engineering Multimodal AI Systems

Master the full engineering stack for multimodal AI systems—processing images, audio, and text together—using PyTorch, TensorFlow, and OpenCV to build, evaluate, and deploy production-ready solutions.

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

LearnKartS

Agentic AI Systems with Vector DBs & RAG

Master building Agentic AI systems using RAG, pgVector, and ChromaDB to create adaptive, real-time AI that retrieves data dynamically and makes autonomous decisions for production-ready applications.

• Coursera
• 13 hours 51 minutes
• Self-Paced
• Paid Course

LearnKartS

Building Real-World Backend Systems with Node.js

Master building secure, scalable Node.js backend systems with JWT auth, MongoDB modeling, Redis caching, geospatial queries, and file uploads for production-ready applications.

• Coursera
• 1 day 6 hours 1 minute
• Self-Paced
• Paid Course

Starweaver

Building Resilient Systems

Master resilience engineering for distributed systems—covering high availability, fault tolerance, disaster recovery, observability, and incident management to design reliable architectures aligned with business goals.

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

Coursera

Introduction to Android Automotive for Infotainment Systems

Master Android Automotive OS development by building production-ready infotainment apps, integrating Vehicle HAL, and ensuring driver safety compliance across GAS and non-GAS OEM platforms.

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

Board Infinity

AI Systems Design: RAG Pipelines and LLM Architecture

Master enterprise-grade RAG pipelines and LLM architecture—from problem scoping and data strategy to building end-to-end retrieval-augmented generation prototypes with Streamlit UI.

• Coursera
• 16 hours 55 minutes
• 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

RAG Systems & Agentic Workflows with Pinecone and LangGraph

Master RAG pipelines, vector databases, and agentic workflows using Pinecone, LangChain, and LangGraph to build production-ready AI systems with memory, semantic search, and observability.

• Coursera
• 19 hours 21 minutes
• Self-Paced
• Paid Course

Board Infinity Credential

Managing AI Systems: Development, Deployment, and Governance

Master the full AI lifecycle—from architecting RAG pipelines and LLMOps workflows to enforcing safety, compliance, and governance for enterprise-scale AI deployment.

• Coursera
• 12 weeks, 5 hours/week
• Self-Paced
• Paid Course
• 3 courses