Agentic AI Projects: FastAPI, MCP, AWS Deploy & Gemini 3 By KGP Talkie | Laxmi Kant
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Agentic AI Projects: FastAPI, MCP, AWS Deploy & Gemini 3 · Program
About this program
Agentic AI Projects: FastAPI, MCP, AWS Deploy & Gemini 3
Online Course
Learning format
AI Agents
Subcategory
English
Course language
$39.99 (list $9.99)
Price
Price may change · updated within 1–2 weeks
Official program page
What you'll learn in Agentic AI Projects: FastAPI, MCP, AWS Deploy & Gemini 3
- Build real AI agents using LangChain and Google Gemini that can reason, use tools, and complete tasks autonomously
- Design agent architectures using ReAct patterns, tool calling, and structured decision making
- Implement short-term and long-term memory in AI agents using databases and embeddings for personalized experiences
- Create and manage agent tools for web search, weather, finance, document analysis, and external APIs
- Apply prompt engineering techniques to control agent behavior, improve output quality, and guide tool usage
- Add safety layers such as guardrails, human-in-the-loop approval, and middleware controls to prevent errors and misuse
- Stream real-time responses and generate structured outputs from AI agents in production-style applications
- Secure AI agents with sandboxed code execution to prevent file deletion, credential leaks, and system risks
- Build REST APIs for AI agents using FastAPI with validation, CORS, and production-ready patterns
- Develop full-stack AI applications using Streamlit connected to LangChain agents
- Deploy AI agents on AWS EC2 and configure them for real-world access and scalability
What's Included in Agentic AI Projects: FastAPI, MCP, AWS Deploy & Gemini 3
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