Complete Agentic AI Bootcamp With LangGraph and Langchain
This product hasn't been reviewed yet! Be the first to share your experience.
Top alternatives
Reviews, Scores & Student Outcomes
Unclaimed ProfileThe Complete Agentic AI Bootcamp With LangGraph and Langchain represents a crucial evolution in AI engineering, moving beyond simple prompt engineering into the realm of fully autonomous, stateful systems. Designed by KRISHAI Technologies Private Limited, this intensive bootcamp equips developers, AI engineers, and tech enthusiasts with the practical skills needed to orchestrate complex multi-agent architectures. Throughout this course, learners dive deep into LangChain's extensive ecosystem and master LangGraph's cyclical graph-based workflow capabilities. Instead of building linear pipelines, you will learn to construct agentic systems that can reason, self-correct, maintain state, and collaborate seamlessly to solve intricate problems. Students gain hands-on experience by building real-world projects such as autonomous research assistants, smart task managers, and advanced Retrieval-Augmented Generation (RAG) pipelines. By focusing on critical concepts like memory persistence, human-in-the-loop validation, and event-driven architectures, this course ensures you are fully prepared to deploy production-grade AI agents that can operate independently and safely within modern enterprise environments.
About the creator
KRISHAI Technologies Private Limited
View full profileNot found
—
Reviews
KRISHAI Technologies Private Limited, spearheaded by industry expert Krish Naik, is a pioneering educational and technology solutions hub dedicated to democratizing advanced artificial intelligence training. With a specialized focus on Generative AI, Retrieval-Augmented Generation (RAG), and Agentic AI frameworks, KRISHAI Technologies translates complex algorithmic theory into practical, production-ready systems. Their comprehensive curriculum spans critical modern technologies such as LangChain, LangGraph, LangSmith, Microsoft AutoGen, n8n, and the Model Context Protocol (MCP). The teaching methodology centers on project-based, end-to-end implementation, steering clear of pure academic lectures in favor of real-world deployment challenges. By guiding learners through building functional multi-agent systems, automated workflows,…Show more
Ratings & reviews
This product hasn't been reviewed yet! Be the first to share your experience.
Not enough reviews yet
0 reviews
Rating breakdown
Results mentioned in reviews are individual experiences and are not guaranteed or typical.
Program Overview
Learning format
Subcategory
Price
Price may change · updated within 1–2 weeks
Course language
Learning format
Subcategory
Price
Price may change · updated within 1–2 weeks
Course language
What You'll Learn
- Architect cyclic, stateful multi-agent workflows using LangGraph to enable intelligent decision-making, looping execution, and error self-correction.
- Implement advanced memory management and state persistence techniques in LangGraph, allowing AI agents to retain long-term context across sessions.
- Build collaborative multi-agent teams where individual specialized agents communicate, negotiate, and delegate sub-tasks to achieve complex goals.
- Integrate Human-in-the-Loop (HITL) checkpoints to safely pause execution, solicit user feedback, and authorize critical actions in autonomous workflows.
- Design and deploy production-ready agentic RAG (Retrieval-Augmented Generation) applications capable of searching external databases and synthesizing complex reports.
- Utilize LangChain tools, custom tools, and function calling mechanisms to connect your AI agents securely to third-party APIs and local system commands.
- Monitor, debug, and trace agent execution steps using LangSmith to optimize performance, control latency, and trace unexpected agent trajectories.
Best For
- AI engineers and software developers looking to move beyond basic LLM wrappers into autonomous agent systems.
- Professionals who want to master LangGraph for building stateful, cyclic, and complex multi-agent workflows.
- Engineers building enterprise-grade RAG applications that require sophisticated reasoning and tool integration.
- Technical architects interested in implementing Human-in-the-Loop workflows for production-level AI safety and control.
Not For
- Individuals with zero prior experience in Python or basic API integration who are looking for a non-coding AI introduction.
- Data scientists focused exclusively on model training and fine-tuning rather than application-level agent orchestration.
- Learners expecting a theoretical course that avoids building complex, stateful, and production-oriented code projects.
What's included
Still confused?
Get a reply from the creator within 24 hours.
Top alternatives
Compare Similar AI Agents Programs
Not sure Complete Agentic AI Bootcamp With LangGraph and Langchain is the right fit? See how it stacks up against the top-rated alternatives in ai agents, all rated by verified students.
More categories
Before you buy
Compare alternatives
See how Complete Agentic AI Bootcamp With LangGraph and Langchain stacks up against top-rated programs in ai agents.
Compare nowRun a credibility check
Use AllPros Guru Detector to review trust signals before you spend.
Open Guru Detector