Description
Agentic AI Foundations: Master LLM APIs for QA, Developers. This course teaches quality assurance (QA) engineers and developers how to build agent-based AI applications directly using the APIs of large language AI models such as OpenAI and Gemini, without requiring specialized machine learning knowledge. This course is designed to teach the fundamentals and practicalities of how to communicate with large language AI models, helping learners focus on the tools at hand rather than getting bogged down in the jargon of the AI market. Agentic AI and intelligent agents are all the rage these days, but the reality is that building AI-powered applications is all about calling language model APIs, without the need for a PhD, complex machine learning training, or heavy infrastructure. This course teaches participants the most fundamental engineering required for all production-level operational AI systems: directly using the APIs of OpenAI and Gemini. In this course, learners will learn how to send their first API request in minutes, analyze response structures, extract data, manage system prompts and temperature control, and optimize tokens and costs. A comprehensive comparison between APIs from different companies is also performed and comprehensive code for multiple uses is provided. In the end, participants will gain the skills necessary to apply these APIs in real-world testing and automation scenarios so that they can implement real-world AI-based solutions in their workplaces.
What you will learn
- Send your first API request to language models in just five minutes
- Understanding response structures and methods for extracting data from model output
- Complete mastery of system prompts and temperature control settings to precisely guide responses
- Intelligent token management and optimization of costs associated with API calls
- Working with Context Windows efficiently and optimally
- Expert comparison between OpenAI and Gemini APIs
- Building integrated clients to implement multi-provider strategies
- Practical application of language model APIs in real-world testing scenarios
- Mastering AI APIs to build automation tools without the need for machine learning expertise
- Automatic generation of comprehensive test cases based on requirements using prompt engineering
- Write vendor-independent code to work with multiple AI service providers simultaneously
This course is suitable for people who:
- QA Engineers who want to incorporate AI into their work processes without spending months learning machine learning theory
- Developers using tools like Selenium, PlayWrite, or WebDriverIV and looking to automate the test generation process
- Entry-level developers who want to quickly improve their AI skills
- Senior quality assurance supervisors who are evaluating the potential for adopting AI within their teams
- Product managers, DevOps engineers, and all technology professionals interested in understanding how AI actually works in operational environments.
Course details Agentic AI Foundations: Master LLM APIs for QA Developers
- Publisher: Udemy
- Instructor: Pravin A
- Training level: Beginner to advanced
- Training duration: 3 hours and 8 minutes
- Number of lessons: 19
Course headings
Prerequisites for the Agentic AI Foundations: Master LLM APIs for QA Developers course
- Basic programming knowledge in any language (Python, Java, JavaScript, or TypeScript). You don’t need ML, deep learning, or AI experience—just familiarity with variables, functions, and API calls. If you can write a for-loop, you’re ready. The course includes Python basics refresher for those coming from other languages.
Course images
Sample course video
Installation Guide
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Quality: 1080p
Download link
Rapidgator link
File(s) password: www.downloadly.ir
File size
1.5 GB