Description
Master Agentic AI with LangGraph, Streamlit and OpenAI. This course teaches you how to master agentic AI and implement its systems using LangGraph, Streamlit and OpenAI. Agentic AI is having a deeper impact than generative AI today, forcing organizations to transform their business models to achieve new business value and remain competitive. This transformation is not only redesigning existing workflows, but also creating entirely new revenue streams. For solution providers, mastering advanced technologies such as agentic AI is essential to be able to guide customers on the path to adoption of these technologies. The combination of LangGraph, LangChain, Streamlit, OpenAI and Python provides an ideal framework for building robust, secure and reliable agentic AI business workflows in development and production environments. Capabilities such as data streaming, tool invocation by language models, structured output, short-term and long-term memory management, and time travel capabilities enable the creation of highly scalable and reliable applications. In addition, the role of humans in the loop is crucial for critical workflows and data protection. Interrupt mechanisms, event systems, and state management in LangGraph provide a reliable foundation for implementing this human participation. Core technologies in this course include Agent-Based AI, Generative AI, LangGraph, LangChain, Streamlit, Python, OpenAI, and VsCode.
What you will learn
- Understanding workflows and agent-based AI systems.
- Implementing agent-based AI systems using LangGraph, OpenAI, and Streamlit.
- Automate complex business workflows with agent-based AI.
- Human presence interactions in the loop are very critical in workflow.
- LangGraph Event Streams.
- Workflow agents call LLM tools with Structured Output.
- Agentic Design Patterns.
- Implement fast, robust, and reliable streaming AI applications.
This course is suitable for people who:
- Generative AI practitioners who are interested in agent-based AI.
- Python developers interested in agent-based artificial intelligence.
- Business consultants interested in transforming applications to use agent-based AI.
- Anyone who is passionate about advanced technologies.
Course details
- Publisher: Udemy
- Instructor: Isuru Samaraweera
- Training level: Beginner to advanced
- Training duration: 2 hours and 30 minutes
- Number of lessons: 23
Course topics
Prerequisites for the Master Agentic AI with LangGraph Streamlit and OpenAI course
- Interest in Generative AI and Agentic AI
- Any programming language knowledge (Python preferred)
Course images
Sample course video
Installation Guide
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Subtitles: None
Quality: 720p
Download link
Downloadly
Rapidgator link
File(s) password: www.downloadly.ir
File size
1.5 GB
