AI Engineering Courses and Certifications

Coursera

LangGraph Framework

Master LangGraph's graph-based architecture to build stateful AI systems with persistent memory, multi-agent coordination, and production-ready workflows for complex problem-solving.

• Coursera
• 4 hours 23 minutes
• Self-Paced
• Paid Course

Board Infinity

AI Agent Architecture: Reasoning, Memory, and LangGraph

Master building production-grade AI agents with LangGraph, Mem0, and Pydantic-AI—covering modular architecture, structured I/O, persistent memory, and framework evaluation for real-world deployment.

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

Board Infinity Career Certificate

Building and Deploying AI Agents with LLMs and LangChain

Master building and deploying AI agent systems using LangChain, LangGraph, CrewAI, and FastAPI — from single-agent design to multi-agent collaboration and production-ready enterprise automation.

• Coursera
• Self-Paced
• Paid Course
• 3 courses

Packt

Master LangChain with No-Code tools - Flowise and LangFlow

Master LangChain, Flowise, and LangFlow to build sophisticated AI workflows without coding. Learn to create prompt templates, chains, memory systems, and integrate with external tools for powerful AI applications.

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

Packt

Gen AI - RAG Application Development using LlamaIndex

Dive into RAG application development using LlamaIndex and LLMs, mastering prompt engineering, vector databases, query pipelines, and agent creation to build sophisticated AI applications that handle complex data needs.

• Coursera
• 9 hours 37 minutes
• Self-Paced
• Paid Course

Packt

Semantic Kernel SDK for Intelligent Applications

Unlock the full potential of AI applications by integrating Large Language Models with Microsoft's Semantic Kernel SDK, creating intelligent agents, chat applications, and custom plugins for business solutions.

• Coursera
• 6 hours 49 minutes
• Self-Paced
• Paid Course

Edureka

Multi-Agent Systems with LangGraph

Master building stateful, multi-agent systems with LangGraph for production-ready AI workflows with state management, debugging, and orchestration patterns.

• Coursera
• 10 hours 52 minutes
• Self-Paced
• Paid Course

Edureka

Applied Agentic AI Pipelines with LangChain

Master advanced LangChain techniques to build intelligent agent pipelines with multi-step reasoning, adaptive memory, and scalable AI systems for real-world applications.

• Coursera
• 10 hours 40 minutes
• Self-Paced
• Paid Course

Edureka

Developing LLM Applications with LangChain

Master LangChain framework to build intelligent LLM applications with RAG pipelines, agents, and tools for production-ready AI systems.

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

Packt

Building and Fine-Tuning LLM Applications

Master building and fine-tuning LLMs through hands-on projects including PDF RAG systems, voice assistants, and YouTube summarizers using LangChain and LoRA techniques.

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

Edureka

Building Multi-Agent Systems using LangGraph and Autogen

Master multi-agent AI systems with LangGraph and Autogen through hands-on development of collaborative agents for autonomous problem-solving and workflow management.

• Coursera
• 8 hours 7 minutes
• Self-Paced
• Paid Course

Coursera

Evaluate & Optimize LLM Performance

Master evidence-based LLM evaluation through automated systems, statistical testing, and performance optimization to make data-driven AI decisions with confidence.

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

Coursera

Fine-tuning Text Models with PEFT

Master parameter-efficient fine-tuning techniques like LoRA and QLoRA to adapt large language models on consumer hardware with optimized hyperparameters and evaluation metrics.

• Coursera
• 9 hours 52 minutes
• Self-Paced
• Paid Course

Coursera

Deploy Resilient AI Microservices with LangChain

Master production-grade LangChain deployment through microservices architecture, containerization, observability, and chaos engineering for resilient AI systems.

• Coursera
• 3 hours 51 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