Overview
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.
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.
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.
“This course contains the use of artificial intelligence”
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.
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.
Data Science Academy
Data Science Academy is a leading provider of practical, industry-focused training in data analytics, data science, and business intelligence. With a mission to make data skills accessible to everyone, the academy designs courses that bridge the gap between theory and real-world application.
Our team of expert instructors brings years of professional experience from diverse industries, including technology, finance, healthcare, and aviation. We specialize in creating hands-on learning experiences that cover the full data lifecycle—from data collection and cleaning to analysis, visualization, and storytelling.
At Data Science Academy, we believe in learning by doing. Our courses feature step-by-step projects, interactive exercises, and real-world datasets, enabling learners to build job-ready skills in Excel, SQL, Python, Power BI, Tableau, and other leading tools.
We are passionate about empowering students to turn raw data into actionable insights that drive decision-making. Whether you are a beginner exploring data for the first time or a professional looking to upgrade your skill set, our courses are designed to help you succeed in today’s data-driven world.
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