Master LLM integration, prompt design, and scalable AI app development using OpenAI and Anthropic APIs.
Description
“This course contains the use of artificial intelligence”
Join our Telegram for instant 100% OFF alerts 👉 t.me/coupontex
Step into the future of innovation with Generative AI Engineering: Build with OpenAI & Anthropic, a hands-on, lab-driven course designed to help you master the art and science of building real-world AI applications. Whether you’re a developer, data engineer, researcher, or AI enthusiast, this course equips you with the technical depth and practical experience to design, implement, and deploy intelligent systems powered by Large Language Models (LLMs) such as OpenAI’s GPT and Anthropic’s Claude.
Join our Telegram for instant 100% OFF alerts 👉 t.me/coupontex
You’ll begin by uncovering how LLMs think, reason, and generate, then dive into the engineering foundations that power them — prompt engineering, context management, embeddings, and fine-tuning. Through immersive interactive labs, you’ll experiment with APIs from OpenAI, Anthropic, and Mistral, learning to control temperature, tokens, and reasoning depth to craft accurate, reliable, and domain-specific responses.
Beyond theory, this course emphasizes real-world implementation through a full suite of 12 practical labs and 3 capstone projects:
Labs 1–7 cover prompt chaining, API orchestration, latency benchmarking, and performance optimization.
Labs 8–12 introduce advanced reasoning (Chain-of-Thought, self-reflection), safety guardrails, and deployment monitoring.
Projects 1–3 guide you in building a Travel Itinerary Copilot, a Code Review Assistant, and a Knowledge-Aware RAG Copilot with real-time tool integration.
You’ll also explore multi-model orchestration, cost-efficient hybrid pipelines, and secure deployment using frameworks like FastAPI, Flask, Streamlit, and React — transforming abstract AI capabilities into production-grade applications.
By the end of this course, you’ll possess a complete Generative AI engineering toolkit — spanning LLM design, evaluation, safety, and scaling — empowering you to turn innovative ideas into deployable, intelligent products.
Become a Generative AI Engineer who bridges imagination with implementation, building the next generation of smart, human-centered AI systems.
| Total Students | 9083 |
|---|---|
| Duration | 10.5 hours |
| Language | English (US) |
| Original Price | |
| Sale Price | 0 |
| Number of lectures | 71 |
| Number of quizzes | 0 |
| Total Reviews | 41 |
| Global Rating | 4.280488 |
| Instructor Name | Data Science Academy |
Course Insights (for Students)
Actionable, non-generic pointers before you enroll
Student Satisfaction
86% positive recent sentiment
Momentum
🔥 Trending
Time & Value
- Est. time: 10.5 hours
- Practical value: 7/10
Roadmap Fit
- Beginner → Beginner → Advanced
Key Takeaways for Learners
- Benchmark
- Hands On
- Concise
Course Review Summary
Signals distilled from the latest Udemy reviews
What learners praise
- Hands On
- Concise
- Clear Explanation
- Real World
Watch-outs
No consistent issues reported.
Difficulty
Best suited for
New learners starting from zero
Reminder – Rate this 100% off Udemy Course on Udemy that you got for FREEE!!
Join our Telegram for instant 100% OFF alerts 👉 t.me/coupontex
