Generative AI Engineer: Build LLM Apps & AI Systems

Want to become a Generative AI Engineer but not sure what skills actually matter?Most learners today face one of two problems:They learn theory (GANs, VAEs, transformers) but can’t apply itOr they learn tools (ChatGPT, APIs) without understanding how systems workAs a result, they struggle to:Build real AI applicationsUnderstand end-to-end systemsBecome job-readyThis course solves that gap.You will learn how to build, optimize, and deploy Generative AI systems using real-world approaches.What You Will Be Able to DoBy the end of this course, you will be able to:Understand how LLMs and Generative AI systems workDesign and build Generative AI models and applicationsTrain, fine-tune, and optimize model performanceBuild APIs to integrate AI into real systemsDeploy AI solutions into production environmentsThink like a Generative AI EngineerWhat You Can Build After This CourseThis course focuses on real-world capability—not just knowledge.You will be able to build:LLM-based applications (chatbots, assistants, content tools)AI-powered APIs and backend systemsEnd-to-end Generative AI pipelinesContent generation systems (text, image, etc.)Production-ready AI solutionsLearn Generative AI Step-by-StepYou will follow a structured path used in real-world AI development:1. Understand Generative AI SystemsLLMs, GANs, VAEs, transformersWhen and how to use each2. Design and Build ModelsArchitecture selectionData preparationModel development3. Train and Optimize PerformanceTraining pipe