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Webskitters Academy aligns its Full Stack GenAI & Agentic AI training standards with globally recognized platforms and institutions
Webskitters Academy is a leading Full Stack GenAI & Agentic AI Training Institute focused on delivering industry-ready AI engineering skills and bridging the gap between education and industry. Students enrolled in our courses train within a real IT ecosystem, gain exposure to live production environments, and receive placement-focused mentorship from experienced professionals to build job-ready skills for today’s technology landscape.
Whether you're a student, graduate, or professional exploring AI for the first time or looking to advance your expertise, our Full Stack GenAI & Agentic AI Course is designed to help you build industry-relevant skills. Learn through hands-on projects, enterprise workflows, and real-world applications that prepare you for the evolving field of AI engineering.
Build your Full Stack GenAI & Agentic AI Engineering Program journey through a step-by-step roadmap designed to take you from core AI fundamentals to building production-ready AI systems. Each of our training phases focuses on hands-on learning, real-world tools, and practical implementation.
Master the most in-demand tools and frameworks used in modern Generative AI and Agentic AI systems through our Full Stack GenAI & Agentic AI Course in Kolkata.
Build strong Python fundamentals for AI systems, including OOP, file handling, JSON workflows, APIs, and environment setup.
Hands-On Coverage: Python mini applications, API response handling, JSON data workflows.
Learn structured prompt engineering techniques, including few-shot, chain-of-thought, role-based prompting, and prompt optimisation.
Hands-On Coverage: AI assistant workflows, structured AI response systems.
Build modular AI pipelines using LangChain, including chains, memory, tools, and agent executors. Learn how to structure scalable AI workflows.
Hands-On Coverage: AI conversation systems, tool-enabled AI workflows.
Design production-grade RAG systems with document chunking, embedding pipelines, retrieval workflows, and context injection.
Hands-On Coverage: PDF chatbot system, enterprise document assistant, AI research assistant.
Understand AI fundamentals, including ML vs Deep Learning vs Generative AI, transformers, attention mechanisms, embeddings, and LLM ecosystems.
Hands-On Coverage: LLM interaction workflows, AI ecosystem exploration.
Work with OpenAI, Gemini, and Claude APIs to build AI applications with authentication, streaming, function calling, and multi-LLM integration.
Hands-On Coverage: AI chatbot integrations, multi-model AI systems.
Learn embeddings, semantic search, similarity matching, and vector storage using FAISS and ChromaDB.
Hands-On Coverage: Vector search systems, semantic retrieval workflows.
Build stateful AI systems using LangGraph with conditional routing, decision flows, and orchestration of multi-step AI processes.
Hands-On Coverage: Stateful AI assistants, autonomous workflow systems.
Build strong Python fundamentals for AI systems, including OOP, file handling, JSON workflows, APIs, and environment setup.
Hands-On Coverage: Python mini applications, API response handling, JSON data workflows.
Understand AI fundamentals, including ML vs Deep Learning vs Generative AI, transformers, attention mechanisms, embeddings, and LLM ecosystems.
Hands-On Coverage: LLM interaction workflows, AI ecosystem exploration.
Learn structured prompt engineering techniques, including few-shot, chain-of-thought, role-based prompting, and prompt optimisation.
Hands-On Coverage: AI assistant workflows, structured AI response systems.
Work with OpenAI, Gemini, and Claude APIs to build AI applications with authentication, streaming, function calling, and multi-LLM integration.
Hands-On Coverage: AI chatbot integrations, multi-model AI systems.
Build modular AI pipelines using LangChain, including chains, memory, tools, and agent executors. Learn how to structure scalable AI workflows.
Hands-On Coverage: AI conversation systems, tool-enabled AI workflows.
Learn embeddings, semantic search, similarity matching, and vector storage using FAISS and ChromaDB.
Hands-On Coverage: Vector search systems, semantic retrieval workflows.
Design production-grade RAG systems with document chunking, embedding pipelines, retrieval workflows, and context injection.
Hands-On Coverage: PDF chatbot system, enterprise document assistant, AI research assistant.
Build stateful AI systems using LangGraph with conditional routing, decision flows, and orchestration of multi-step AI processes.
Hands-On Coverage: Stateful AI assistants, autonomous workflow systems.
Take a look at the earning potential of GenAI & Agentic AI Full Stack careers worldwide.
₹3.3L - 10.6L / Year
$111K - $130K / Year
£43.6K - £73.7K / Year
$70K - $100K / Year
$88.7K - $150K / Year
Build Strong Foundations
Become Job Ready
Accelerate Your Career
Read what our students say about their experience with us. We are really proud of creating a learning environment that helps people. Our goal is to support individuals in achieving their career goals through education and practical help.
Not sure if our Full Stack GenAI & Agentic AI Course is the right choice for you? Let our students do the talking. Watch their honest reviews and discover why they trusted us to build their careers.
Over the years, we have established a fruitful network with 300+ IT companies and MNCs, and they have numerous positive reviews to contribute.
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