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Udemy – Building API Pipelines Using LLMs 2024-11
Published on: 2024-12-13 22:29:11
Categories: 28
Description
The Building API Pipelines Using LLMs course teaches you how to build intelligent and automated application programming platforms (APIs) using swarm intelligence and large language models (LLMs).
What you will learn
- Designing Swarm-Based Agents for API Automation: Learn how to use swarm intelligence algorithms to coordinate multiple agents to perform API tasks simultaneously.
- LLM-based decision making: Use the power of LLM to analyze API responses, generate intelligent queries, and optimize API call sequences based on real-time data insights.
- Real-time data collection: Build platforms that can ingest data from multiple distributed sources, process data in parallel using crowd intelligence agents, and combine results for actionable insights.
- Error Management and Resilience with Collective Intelligence Coordination: Learn how to implement error management, replication strategies, and adaptive workflows that minimize downtime and optimize performance.
- Context-aware API queries using LLM: Discover how LLM can dynamically tailor API requests to improve relevance, personalize responses, and increase the quality of data extraction.
This course is suitable for people who:
- Developers, data engineers, and AI enthusiasts who want to go beyond traditional API integration techniques and use advanced AI tools to build robust and efficient platforms.
- Business users with little technical background who are interested in using AI for API platforms and function calls.
Building API Pipelines Using LLMs Course Description
- Publisher: Udemy
- Instructor: Richard Aragon
- Training level: Beginner to advanced
- Training duration: 1 hour and 21 minutes
- Number of lessons: 9
Course headings
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Prerequisites for the Building API Pipelines Using LLMs course
- A basic understanding of LLM models and Python are required for this course.
Course images
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Sample course video
Installation Guide
After Extract, view with your favorite player.
Subtitles: None
Quality: 720p
Download link
Download Part 1 – 1 GB
Download Part 2 – 235 MB
File(s) password: www.downloadly.ir
File size
1.2 GB
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