Free Udemy Course __ Generative AI Engineering with OpenAI, Anthropic

Master LLM integration, prompt design, and scalable AI app development using OpenAI and Anthropic APIs.

4.5 (4,510 students students enrolled) English
data-science Machine Learning
Generative AI Engineering with OpenAI, Anthropic

What You'll Learn

  • Design and Build Generative AI Applications using OpenAI (GPT) and Anthropic (Claude) models — from intelligent chatbots and copilots
  • Master Prompt Engineering, Context Management, and Fine-Tuning to generate accurate, creative, and context-aware AI responses tailored to real-world use cases.
  • Implement Retrieval-Augmented Generation (RAG) Pipelines by connecting vector databases such as Pinecone, FAISS, or Chroma, enabling AI systems.
  • Integrate and Deploy AI Systems using modern frameworks like FastAPI, Flask, Streamlit, and React, building production-ready AI copilots and applications.
  • Apply AI Safety, Cost Optimization, and Monitoring Techniques to ensure your systems are efficient, secure, and scalable, with guardrails for ethics
  • Orchestrate Multi-Model Workflows combining OpenAI, Anthropic, and Mistral models for advanced reasoning, formatting, and performance efficiency.

Requirements

  • Basic programming knowledge — familiarity with Python or JavaScript will help you follow along easily with hands-on examples.
  • Fundamental understanding of AI or Machine Learning concepts — not mandatory, but helpful for grasping model behavior and architecture.
  • Access to OpenAI and Anthropic APIs — you’ll learn how to obtain API keys and connect them to your applications.
  • A computer with internet access — to build, test, and deploy projects using tools like FastAPI, Flask, Streamlit, or React.

Who This Course is For

  • A software engineer or developer eager to integrate OpenAI and Anthropic APIs into intelligent apps, copilots, and automation tools.
  • A data scientist, ML engineer, or researcher looking to understand multi-model orchestration, RAG pipelines, and LLM-driven architectures.
  • A tech entrepreneur or product builder who wants to create AI-powered startups, tools, or platforms using cost-effective, scalable methods.
  • A student or beginner in AI who wants to gain hands-on skills in prompt engineering, context management, and AI deployment workflows.
  • A professional in business, analytics, or design seeking to leverage AI copilots to enhance productivity, automate insights, and innovate processes.

Your Instructor

Data Science Academy

Bridging knowledge to industry with Data & AI education

4.4 Instructor Rating

670 Reviews

34,855 Students

14 Courses

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