Live Classes.

Master No Code AI- Best course for Industry Leaders and Professionals

As LLMs and multimodal AI revolutionise industries, there's a growing need for professionals who can move beyond theory and operationalise these models. This course is built for developers, ML engineers, and AI enthusiasts who want to master the entire LLMOps lifecycle—from fine-tuning and vector databases to deploying RAG pipelines, building Agentic workflows, and setting up CI/CD for scalable applications. With expert mentorship and hands-on projects, you’ll gain the practical skills to take LLMs from the lab to real-world products.

This course is designed for AI developers, machine learning engineers, data scientists, and software engineers looking to build expertise in agentic AI, multi-agent systems, and AI-powered automation. Whether you are new to AI agents or have experience in NLP and GenAI, this course will equip you with the knowledge and hands-on skills required to develop, deploy, and manage AI agents at scale. By the end of the course, you will have a strong foundation in agentic AI frameworks, multi-agent collaboration, real-world automation, and end-to-end AI deployment, along with practical experience through real-world projects.

Ready to dive into the exciting world of data science? Our comprehensive online data science course equips you with in-demand skills for a successful career. This leading program covers essential concepts and practical applications, from programming fundamentals to cutting-edge AI. Learn Python, SQL, machine learning, deep learning, computer vision, NLP, and the basics of generative AI. No prerequisites needed! Gain hands-on experience with live, end-to-end projects, build a strong portfolio, and benefit from live instruction, recordings, and placement assistance (resume support, mock interviews, and referrals).

This crash course offers an intensive, 5-day journey into Python for data science with an emphasis on generative modeling. Each 2-hour live session will combine quick theory overviews, interactive coding examples, and live Q&A to keep your audience engaged. Participants will learn Python fundamentals, data manipulation and visualization, basic machine learning, and an introduction to generative models—all through practical, bite-sized lessons perfect for the live stream format.

In this comprehensive bootcamp, you'll learn to create Agentic AI applications using cutting-edge frameworks like Langflow, Pydata, CrewAI, LangGraph, and AutoGen. We'll guide you through multiple end-to-end projects to build robust Agentic AI applications. Additionally, you'll dive deep into Generative AI, exploring its capabilities and applications specifically on AWS and GCP Cloud, gaining hands-on experience with these powerful platforms.

In this course we will build Agentic AI Application with the help of frameworks such as Langflow, Phidata,Langgraph,Autogen Agentic AI is a type of artificial intelligence (AI) that can act independently and autonomously without constant human supervision. It's also known as AI agents. Agentic AI is considered the next wave of AI, and it's characterized by its ability to: Learn and adapt Agentic AI can learn from experience and feedback, and adapt to changing circumstances. Make decisions Agentic AI can understand the user's goal and the context of the problem, and then make decisions based on that information. Solve complex problems Agentic AI can handle complex tasks and sequences of activities, and can independently search databases or trigger workflows. Agentic AI can be used in a variety of industries and applications, including: Healthcare AI agents can help doctors analyze medical data, automate administrative tasks, and provide 24/7 support to patients. Grid management Agentic AI can learn to recognize consumption patterns, and can help utility managers and grid operators manage resources autonomously. Supply chain management Agentic AI can predict demand, optimize inventory, and coordinate shipments. Manufacturing Agentic AI can help manufacturing robots respond to unexpected scenarios, such as anomalies on a conveyor belt. Finance Agentic AI can execute trades at high speeds and identify arbitrage opportunities. Agentic AI uses a combination of machine learning, natural language processing, and automation technologies.

Big Data With Azure And AWS Cloud Mastery Program Mentors: Mayank Aggarwal Start Date: December 21st 2024 Timing: 8am to 12pm IST(Saturday And Sunday) Proficiency Level - Professionals (2+years experience) This comprehensive program is designed to equip you with the skills and knowledge needed to thrive as a Big Data Engineer in today’s cloud-driven world. Starting from foundational Big Data concepts and tools, you’ll progress to mastering distributed computing frameworks like Apache Spark and Kafka. The course emphasizes practical learning through hands-on projects and real-world use cases, focusing on integrating Big Data solutions with Azure And AWS Cloud. By the end of the program,you’ll have the ability to design, build, and deploy scalable data pipelines, process massive datasets, and implement analytics workflows.

The "Advanced NLP with Generative AI Bootcamp" is designed for those looking to deepen their understanding of Natural Language Processing using cutting-edge Generative AI techniques. This course will cover advanced NLP concepts, including transformer models, attention mechanisms, and the latest advancements in text generation.

In this intensive bootcamp, you will dive deep into the powerful combination of Computer Vision and Generative AI. This course is designed to provide a robust foundation in computer vision concepts and techniques, while integrating cutting-edge generative AI models to tackle complex image processing tasks, create synthetic data, and automate visual analytics

Dive into the world of deep learning and computer vision in this immersive 3-day workshop designed for beginners and intermediate learners. Whether you're looking to enhance your skills in image processing, neural networks, or real-time object detection, this workshop will provide hands-on experience with some of the most powerful tools in AI today, such as OpenCV and YOLO.

This 4-day hands-on workshop is designed to provide an in-depth understanding of fine-tuning large language models (LLMs), with practical implementations and real-world examples.

In this data science project, you will build a machine learning system which will be able predict whether the website is phising or not.As we know that internet is getting very accessible to everyone by the day, in the similar rate spam or malicious website who cheated people or cause fraud to lot of people, so search engine companies like Google, Microsoft, Brave, etc have to detect a block such website, the end user does not land up in the malicious website, we can also consider like the feature of safe search in Google Chrome or similar search engines.

In this 3 hours Live crash Course ,we will be dicussing about (Dated: 03/08/2024 10am-1pm IST) 1. Getting started With LangGraph 2. Creating Chatbots with LangGraph 3. Rag Application Using LangGraph 4. Langgraph Evaluation And Analysis 5. Creating Multi Ai Agents Using LangGraph

In this 3 hours Live crash Course ,we will be dicussing about (Dated: 27/07/2024) 1. Graph Databases 2. Why Do We Need Graph Databases 3. Working Neo4j Graph Database 4. Cypher Query Language 5. Creating Nodes And Relationship With Cypher Query Language In Neo4j Auro Db 6. How To Build RAG With Graph Db