Generative AI Engineer

About This Course

Generative AI Engineers design, develop, and deploy intelligent AI-powered applications that automate tasks, generate content, and enhance business processes. They work with large language models (LLMs), machine learning frameworks, and cloud platforms to build innovative AI solutions for real-world business challenges. This course prepares learners for a career as a Generative AI Engineer through hands-on projects, industry workflows, collaborative learning, and real-world case studies aligned with current hiring expectations in India. Learners gain expertise in prompt engineering, LLMs, Retrieval-Augmented Generation (RAG), AI agents, vector databases, Python, LangChain, AI model integration, and responsible AI practices. The curriculum includes practical experience with leading AI tools and cloud platforms. Through live projects and capstone assignments, participants develop problem-solving, programming, and AI solution development skills, preparing them for Generative AI Engineer, AI Application Developer, LLM Engineer, and AI Solutions Engineer roles across diverse industries.

Key Responsibilities

• Design and develop generative AI applications using large language models (LLMs)
• Build and optimize prompts, AI agents, and retrieval-augmented generation (RAG) systems
• Fine-tune and deploy foundation models for text, image, audio, and code generation tasks
• Integrate generative AI solutions with APIs, databases, and enterprise applications
• Monitor model performance, ensure responsible AI practices, and continuously improve AI system accuracy and scalability

Growth Path

Tools Used

Perfect For

Computer Science and Engineering Graduates | Software Developers and AI Enthusiasts | Data Scientists and Machine Learning Professionals | Product and Innovation Teams | Automation and Technology Professionals | Individuals Interested in Building Next-Generation AI Applications

Fee Structure