Description
Generative AI Engineering with OpenAI, Anthropic is a course on building real-world applications using modern generative AI models from OpenAI and Anthropic, published by Udemy Online Academy. This course provides a thorough and practical introduction to building real-world applications using modern generative AI models from OpenAI and Anthropic. You will learn how these AI systems work, how to interact with their APIs, and how to design applications that use text generation, reasoning, embeddings, and multimodal capabilities. The course covers rapid engineering, model selection, safety considerations, and best practices for building reliable AI-based tools. You will also explore advanced workflows such as Retrieval Augmentative Generation (RAG), agent behavior, evaluation methods, and optimization techniques for performance and cost.
Through hands-on projects, you’ll gain experience integrating GenAI into applications, automating tasks, and deploying production-ready solutions. Whether you’re a developer, data engineer, researcher, or AI enthusiast, this course equips you with the technical depth and hands-on experience to design, implement, and deploy intelligent systems based on large language models (LLMs) like OpenAI’s GPT and Anthropic’s Claude. Through immersive interactive labs, you’ll experiment with OpenAI, Anthropic, and Mistral APIs and learn to control temperature, tokens, and depth of reasoning to generate accurate, reliable, and domain-specific responses. By the end of this course, you’ll have a complete productive AI engineering toolkit—including LLM design, evaluation, safety, and scaling—that enables you to turn innovative ideas into intelligent, deployable products.
What you will learn in Generative AI Engineering with OpenAI, Anthropic:
- Design and build productive AI applications using OpenAI (GPT) and Anthropic (Claude) models – from intelligent chatbots to co-pilots
- Master rapid engineering, context management, and fine-tuning to produce accurate, creative, and context-aware AI responses tailored to real-world use cases.
- Implement retrieval-augmented (RAG) pipelines by connecting vector databases like Pinecone, FAISS, or Chroma, which enable AI systems.
- Integrate and deploy AI systems using modern frameworks like FastAPI, Flask, Streamlit, and React, building production-ready AI co-pilots and applications.
- Apply AI safety, cost optimization, and monitoring techniques to ensure your systems are efficient, secure, and scalable, while adhering to ethical principles
- Harmonize multi-model workflows by combining OpenAI, Anthropic, and Mistral models for advanced reasoning, formatting, and performance efficiency.
- And…
Course specifications
Publisher: Udemy
Instructors: Data Science Academy and School of AI
Language: English
Level: Introductory
Number of Lessons: 71
Duration: 10 hours and 35 minutes
Course topics
Generative AI Engineering with OpenAI, Anthropic Prerequisites
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.
Pictures
Generative AI Engineering with OpenAI, Anthropic introduction video
Installation guide
After Extract, watch with your favorite Player.
Subtitle: None
Quality: 720p
Downloadly link
Rapidgator link
File password (s): www.downloadly.ir
Size
6.3 GB
