Descriptions
AI Agents Masterclass MCP Swarms LangChain 21 templates, This course is your gateway to mastering the development of AI agents—autonomous, goal-oriented systems capable of multi-step reasoning, decision-making, and seamless integration with modern tech stacks. You will gain practical expertise through real-world projects such as a Football Player Value Analyzer, a Neuro ICU Seizure Prediction System, and a Calendar Agent powered by Google Vertex AI. With a focus on Python, Go, FastAPI, React, LangChain, LangGraph, and cloud-based tools, this course prepares you to build scalable, enterprise-ready AI solutions that drive impact. The curriculum covers deploying full-stack AI applications, leveraging Retrieval-Augmented Generation (RAG) for advanced document processing, and building robust agent swarm architectures and event-driven systems.
You will learn to address complex use cases in M&A document analysis, healthcare seizure prediction, and MLOps workflows, preparing for high-demand roles in AI-driven industries. The course features hands-on learning with real-world projects, mastery of industry-standard technologies, and comprehensive coverage from foundational concepts to advanced agent orchestration. By the end, you will be able to develop full-stack AI applications, design autonomous agents, implement CI/CD pipelines, process structured and unstructured data, build scalable agent swarms, integrate cloud APIs, and optimize performance for enterprise and startup deployment.
What you’ll learn
- Architect multi-agent systems that run safely, effectively and are suitable for enterprise or startup deployment
- Develop full-stack AI applications using Python, Go, FastAPI, React, and cloud-based tools
- Leverage Retrieval-Augmented Generation (RAG) for advanced document processing and analysis
- Build and orchestrate agent swarms and event-driven systems for scalable AI solutions
- Integrate cloud APIs such as Google Vertex AI and Google Calendar API into intelligent agents
- Implement MLOps pipelines with CI/CD, Docker, PyTorch, and GitHub Actions
- Process structured and unstructured data (PDFs, CSVs, JSON) using modern frameworks
- Prepare for high-demand roles in AI engineering, data science, and cloud architecture
Who this course is for
- Developers and programmers seeking to master Python, Go, FastAPI, and React for AI-driven applications
- Data scientists aiming to integrate Agentic AI and MLOps into enterprise workflows
- IT professionals wanting to build and deploy scalable AI systems using Docker, GitHub Actions, and cloud APIs
- Entrepreneurs and startup founders looking to create AI-powered MVPs and POCs
- Career changers aspiring to enter high-demand roles like AI Engineer, Full-Stack Developer, or Cloud Engineer
Specificatoin of AI Agents Masterclass MCP Swarms LangChain 21 templates
- Publisher : Udemy
- Teacher : GP Shangari
- Language : English
- Level : All Levels
- Number of Course : 84
- Duration : 20 hours and 9 minutes
Content of AI Agents Masterclass MCP Swarms LangChain 21 templates
Requirements
- python familiarity, basic coding principles, experience using ChatGPT
- Ideal if the person has already has used ChatGPT API before.
- Will need a ChatGPT API key with $5 on it since all the AI agents in the course can use the Chatgpt API
Pictures
Sample Clip
Installation Guide
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Download Links
Downloadly
Rapidgator
Password file(s): www.downloadly.ir
File size
17.86 GB
