Fundamental Question on Generative AI 2026

This course is about Automotive Communication Protocol - CAN Bus.Controller Area Network or CAN Protocol is covered in great detail, starting from the story and background, then moving to the early protocols that existed before CAN, limitations of those early pre-CAN protocols, demands of automotive domain and eventual invention of CAN Bus. Fundamental concepts of CAN like arbitration, broadcast mechanism, differential bus concept, noise cancellation, termination resistor, frame format types etc are all discussed with thorough analysis.We also cover challenges of working with CAN networks for CAN professionals, need for higher layer protocols for CAN and also overview of J1939, ARINC 825 Protocols.Here both theory and practical parts are covered in depth.The practical part is covered with the help of - CAN Protocol Self Learning Kit- Which consists of CAN Bus Analyzer, Configurable CAN Nodes and applicable software.I have conceptualized and developed this Kit for this specific purpose of providing a cost effective hands on learning platform for students and professionals.

It's time for you to learn how to navigate Splunk and dominate big data! Are your log files attempting to overthrow you? Have you heard of Splunk, but don't know how to wield it for the greater good of your data, or that of your enterprise? Have you used Splunk, but want to learn how to set it up and build it out properly? If so, this class is for you.In this course, Tom will be teaching you how to get started with Splunk from the ground up. You'll learn the basics of Splunk terminology, along with how to use the Splunk web interface to find the data you're looking for. You'll build your own Splunk environment, add and normalize data to the Common Information Model (CIM), create dashboards, and find events in your data. Finally, you'll gain some more advanced searching techniques that will be particularly beneficial to those in network, security, and system administration roles. This course is unique in that it does not require you to have a pre-existing Splunk environment - you'll actually be building and administering the Splunk system you will use to complete the lab activities.

This course will let you utilise Dynamo in Revit with not only Spreadsheets but also Lists in general. This is one of the first things I learnt and understood before I could advance into building more advanced scripts in Dynamo as everything in the world of Big Data, comes in Lists. The course aims to give you a solid foundation into grasping the concepts of Lists and how to execute various functions to manage and administer all types of data in all types of lists.Although the course is an introduction to all types of list functions, users are expected to know the basic concepts of Dynamo and Revit. But like the previous course, there is no requirement to know Programming.All these courses are to help build you up to be able to extract and manage data for further data analysis.The course will run through 36 different list functions, examples of how Code Block, Lacing works and 2 Sample Exercises to explain the connections between Revit, Lists and Excel.Target Audience· Professionals in the AEC industry· Data administrators· Non-Programmers· People who want to start using Dynamo for data extraction and transactionsHappy Learning!

This learning program is designed to quickly and easily equip students with the knowledge and skills to effectively utilize and develop conversational AI using ChatGPT. The course covers a wide range of topics, including fundamentals of using the tool and fine-tuning the queries for various applications in a quick and easy manner. It will help explore the strategies for handling user inputs, generating coherent and context-aware responses, and managing dialogue flows. The course combines theoretical concepts with practical examples shown through videos which can be easily practiced on your own. We will also learn techniques to optimize responses by leveraging the right articulation of queries. The students will learn how to train and fine-tune ChatGPT models for various applications, such as creative content generation, research, and analytics. It will also provide information on text data processing, editing existing content, model evaluation techniques, and so on. It gives details on leveraging this versatile tool to assist with a wide range of tasks, from answering questions and providing information to generating and facilitating natural language interactions, all with the potential to save time and enhance user experiences. By the end of the course, the participants will be proficient in leveraging ChatGPT to create powerful and engaging conversational AI experiences, allowing them to apply this knowledge in various projects, research, or further advancements in multiple fields. There is also a detailed and comprehensive 70-page documentation provided free of cost along with the course.

The Introduction to SQL for Data Science - Data Scientist™ course is designed to equip students with essential SQL skills for managing and analyzing data in the context of data science. Whether you're new to SQL or looking to strengthen your data analysis skills, this course will guide you through the fundamentals and advanced techniques necessary to query and manipulate data effectively.Starting with basic SQL concepts, you'll learn how to write queries, retrieve information from databases, and work with large datasets. As you progress, the course covers more advanced SQL topics, including joins, subqueries, window functions, and query optimization. By the end, you'll understand how SQL integrates with data science workflows, enabling you to handle real-world data problems confidently.Ideal for aspiring data scientists, analysts, and professionals looking to add SQL to their skill set, this course will provide a solid foundation in data management and analysis with hands-on practice using SQL.Data Science Session:- Understand the foundational concepts and workflow of data science.Data Science Session 2:- Dive deeper into key data science techniques and processes.Data Science vs Traditional Analysis:- Learn the differences between data science methods and traditional data analysis.Data Scientist:- Explore the role, responsibilities, and skills required to be a successful data scientist.Introduction to SQL for Data Science:- Get familiar with SQL and its importance in data science for managing and querying data.SQL Queries for Data Science:- Learn how to write basic SQL queries to manipulate and retrieve data.SQL and Advanced Queries:- Understand more complex SQL queries for data analysis, including joins and subqueries.

This course is an upskilling opportunity for anyone who want to learn Apache Kafka and apply it in real time. If you are a beginner and new to Kafka, this course will be very useful to you. It is a detailed course and covers the fundamentals of Kafka. Apache Kafka is an open source, distributed, event streaming platform. It combines messaging, storage, and stream processing, to allow storage and analysis, of both historical and real time data. It's biggest advantage is: it allows multiple independent applications, reading from data streams, to work independently, at their own rate. Hence, making the overall processing fast and scalable. You all must be aware that Kafka is being used widely now-a-days, and have multiple job opportunities. This course is going to be very helpful for anyone seeking opportunities in the same. Throughout this course, you will learn how a message flows from a message queue and subscribers listen to those messages from the topics.Pros:Scalability and High performanceMultiple producers and consumersHigh availability and fault toleranceSecurity and FlexibilityMulti-language environmentKafka Connect for simple integrationEasy to understand documentation, guides, and learning resourcesIn this series, we will discuss following topics in a detail : How Kafka Works?Project SetupDownload KafkaCreate ProjectListenerProducerControllerProject Execution