Advanced Generative AI and Agentic AI Training in India

Learn Python fundamentals for AI and automation, including syntax, APIs, OOP, and libraries like NumPy and Pandas. Gain hands-on experience by building scripts and integrating LLM APIs for real-world applications.

AI and ML focus on creating systems that learn from data to perform human-like tasks. Key concepts include supervised learning, neural networks, and NLP to automate complex decision-making.

Deep learning mimics the human brain using multi-layered neural networks. This module covers CNNs for images, RNNs for sequences, and backpropagation to train models on complex datasets.

Understand Generative AI and LLMs, their evolution, key concepts, and real-world applications. Learn how models like GPT work, explore industry use cases, and gain insights into trends, risks, and practical implementation basics.

Learn prompt engineering techniques to get accurate AI outputs. Explore prompt design, role-based prompting, chain-of-thought, few-shot and zero-shot methods, and understand how to optimize, secure, and evaluate prompts for real-world use.

Learn RAG fundamentals, embeddings, and vector databases. Understand how to store and retrieve data using tools like Pinecone and FAISS, and explore Hugging Face for building efficient, context-aware AI applications.

Learn how to analyze and optimize chatbots using performance metrics, user interaction data, and A/B testing. Improve response quality, track user behavior, and enhance chatbot efficiency for better user experience.

Learn AI frameworks like TensorFlow and Keras, build and train models, and deploy them using Streamlit. Understand app development, API integration, and how to host AI solutions for real-world use.

Explore Agentic AI concepts, architectures, and workflows. Learn task planning, multi-agent collaboration, and frameworks like LangChain and AutoGen to build intelligent, goal-driven AI systems for real-world applications.