Join Advance Generative AI to master the art of building intelligent, creative, and scalable AI systems! Learn how to harness large language models (LLMs), fine-tune transformers, and deploy AI solutions on the cloud, sharpen your skills in prompt engineering, multimodal AI, and intelligent automation, and build real-world applications — all while exploring how Gen AI is revolutionizing software, design, and the future of human-computer interaction.
Anubhav Kumar Rao
Advance
Generative AI Mastery
Multimodal AI
Applied AI Projects
AI-Driven Automation
Prompt Engineering & LLMs
Cloud & AI Deployment
AI Ethics & Safety
Mentorship & Capstone Projects
AI Product Development
Enterprise AI & SaaS
AI Infrastructure & Platforms
AI Ethics & Governance
Machine Learning & Research
Product Companies & Startups
Data & Knowledge Systems
Freelancing & Remote Work
Advance Generative AI is your gateway to becoming an AI-powered innovator capable of designing, building, and deploying next-generation intelligent applications. This comprehensive program takes you from the foundations of large language models (LLMs) and prompt engineering to mastering fine-tuning, multimodal AI, and scalable AI deployment on the cloud.
You'll start by learning the core principles of LLMs and prompt design, then dive into model fine-tuning, embeddings, and Retrieval-Augmented Generation (RAG) for building production-ready AI systems. From there, you'll explore multimodal AI (text, vision, speech), integrate vector databases for knowledge retrieval, and deploy applications on cloud platforms like AWS, Azure, and GCP. Along the way, you'll also gain expertise in AI ethics, safety, and responsible AI practices while exploring how agentic AI and automation are reshaping modern industries.
Through hands-on labs, real-world projects, and expert mentorship, you'll gain the ability to create, scale, and integrate AI applications with confidence.
By the end of the course, you'll have the technical depth, applied portfolio, and interview-ready confidence to excel as a Generative AI Engineer, LLM Specialist, AI Application Developer, or Applied Researcher across tech companies, SaaS platforms, startups, and enterprise AI teams.
With a structured curriculum, industry-grade projects, and career-focused guidance, Advance Generative AI is designed to make you a future-ready AI professional, equipped to thrive in the era where Gen AI is transforming software engineering, business workflows, and human-computer interaction.
Before joining CodeKerdos, I had basic coding knowledge but struggled to apply it effectively in real-world scenarios. The Gen AI program at CodeKerdos not only strengthened my fundamentals but also gave me hands-on exposure to projects and problem-solving.
The mentors guided me throughout with interview preparation, mock tests, and practical assignments. This structured approach helped me crack my interviews confidently and secure a role at Capgemini. I am truly grateful for their support in shaping my career.
Explore innovative projects that showcase the power of generative AI. These case studies highlight real-world applications, demonstrating how generative AI can transform industries, enhance creativity, and solve complex problems. Dive into the details of each project to understand the methodologies, technologies used, and the impact achieved.
Build a production-ready Retrieval-Augmented Generation (RAG) pipeline with advanced features such as hybrid search (vector + keyword), multi-turn conversation memory, and enterprise-level authentication for accurate knowledge retrieval.
Develop a multi-agent collaboration platform where specialized agents (planner, researcher, executor, validator) work together to solve complex problems like code generation, code debugging, or business workflows.
Train a specific domain (finance, healthcare, legal, or education) and fine-tune a foundation LLM for domain-specific tasks like text classification or compliance checks, then deploy it with APIs.
Create a coding productivity tool with features like chat, complex code debugging suggestions, text generation, and inline documentation powered by LLMs and real-time developer context.
Design an app that combines text, images, and audio — e.g., generate presentations from text prompts, create an audio (podcast) with voice clones, or build an “AI lecture companion” with slides + narration.
Integrate graph databases with LLMs to build an intelligent assistant capable of reasoning over structured + unstructured data. Use cases: enterprise knowledge search, fraud detection, or academic research aid.
Discover all the essential information about our courses in our detailed brochure. Get insights on curriculum, schedules, and enrollment options to help you make the best choice for your education.
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Flexible monthly EMI plans available for up to 24 months.
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