Master OpenAI & Gemini APIs with practical Python examples. Learn tokens, prompts, multi-provider strategies for product

What you'll learn
- Master OpenAI and Gemini LLM APIs to build production-ready AI automation tools without ML expertise
- Generate comprehensive test cases automatically from requirements using prompt engineering and system prompts
- Build unified AI clients that work across multiple LLM providers (OpenAI, Gemini) with provider-agnostic code
- Understand tokens, context windows, and cost optimization to deploy AI solutions efficiently in real-world projects

Requirements
- Basic programming knowledge in any language (Python, Java, jаvascript, 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.

Description
Stop chasing AI buzzwords. Start with what actually works: LLM APIs.

Everyone talks about "Agentic AI" and "AI Agents," but here's the truth: You can build AI-powered applications by just calling LLM APIs. No PhD required. No ML training. No complex infrastructure.

This course teaches the foundation every production AI system is built on: direct LLM API usage with OpenAI and Gemini.

What You'll Learn:

Make your first LLM API call in 5 minutes

Understand response structures and data extraction

Master system prompts and temperature control

Manage tokens and optimize costs

Work with context windows effectively

Compare OpenAI vs Gemini APIs

Build unified clients for multi-provider strategies

Apply LLM APIs to real-world testing scenarios

Who This Is For:QA Engineers, Developers, DevOps Engineers, Tech Leads, Product Managers, and anyone in tech who wants to understand how AI actually works in production.

Prerequisites:Basic Python knowledge (if you know any programming language, you're good!)

**Your AI Journey Starts Here**

The AI revolution is happening now, and you don't need a computer science degree to be part of it. Every production AI application you see—ChatGPT integrations, AI-powered testing tools, intelligent automation—they all start with simple API calls. This course gives you the exact foundation used by professional developers building real-world AI solutions. Stop watching from the sidelines. Start building today.

Who this course is for:
- This course is for QA engineers and developers who want to integrate AI into their workflows without spending months learning ML theory. Perfect for automation engineers using Selenium, Playwright, or WebdriverIO who want to automate test generation, junior developers looking to add AI skills quickly, and senior QA leads evaluating AI adoption for their teams. If you're tired of repetitive manual work and want practical, deployable AI solutions—not academic theory—this course is built for you.
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