Published 2/2025
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.24 GB | Duration: 1h 56m
Create API docs with AI | hands-on demo. This no-code course use DeepSeek & LLaMA to generate high-quality documentation
What you’ll learn
Learn how to create API documentation using Workik, an online AI-powered tool. Understand its features, advantages,
3 techniques to deploy Local LLMs like DeepSeek-R1 and LLama model.Apply real-world use cases and demonstrations to implement these techniques in daily work
Master prompt engineering to generate clear, structured, and accurate API documentation.
Advantages/disadvantages of using local LLMs
Requirements
Understanding of APIs, endpoints, and HTTP methods (GET, POST, PUT, DELETE).
No programming experience required.
Description
Creating API documentation is often time-consuming and repetitive, but with the latest advancements in AI-powered automation, you can significantly enhance productivity and save valuable time. This is the first course which teaches you how to create API documentation using the latest LLMs (DeepSeek-R1 and Llama) that run locally.Why This Course?Most companies still create API documentation manually, which can be slow, inconsistent, and prone to human errors. While cloud-based AI tools offer some automation, they have significant drawbacks, such as data privacy concerns, internet dependency, and recurring costs. That’s why many businesses hesitate to adopt AI for documentation.This course introduces you to the DeepSeek-R1 model—a cutting-edge local LLM gaining massive attention in AI. By deploying DeepSeek-R1 locally, you can quickly, efficiently, and securely generate high-quality API documentation without relying on external services.”Everyone is learning AI these days, so why not learn AI in technical Writing? Now, upskill yourself and stay ahead in your team by leveraging AI.” Using Online AI Tools for API DocumentationLearn how to create API documentation using Workik, an online AI-powered tool.Understand its features, advantages, and limitations compared to local AI models.Deploying Local LLMs for API DocumentationDemo to install and configure DeepSeek-R1 using Ollama, Docker, and OpenWebUI.Demo for GPT4All and LM Studio as alternative local AI tools for generating API documentation.How do you decide which LLM to use for documentation using HuggingFace?Advantages/disadvantages of Local LLMs.Advanced Prompting Techniques for API DocumentationMaster prompt engineering to generate clear, structured, and accurate API documentation.Learn how to refine prompts for better formatting, completeness, and precision.Apply real-world use cases and demonstrations to implement these techniques in your daily workflow.Why Choose This Course?Exclusive Content: This is the first course to use local LLMs like the DeepSeek-R1 model to create API documentation. DeepSeek-R1 is gaining significant attention in the AI community. Participants will gain hands-on experience with this state-of-the-art model.Demo-Based Learning: The course emphasises practical, demonstration-based instruction, ensuring learners can apply concepts in real-world scenarios. So, no boring theoretical teachings.No Internet Required: The Internet is not required to generate API documentation using these techniques, so there are no data privacy concerns. Generated data will remain on your device only.
Technical Writers,Developers,AI Enthusiasts & Researchers
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