Mechanical Design via SolidWorks

Disclaimer: This course contains the use of artificial intelligence.Featuring sessions from world-leading experts on kids and AI, this 360-degree online teacher training is a must-have for teachers and school leaders teaching students ages 6–12 who want a clear, practical roadmap for using AI in the classroom.The course covers AI foundations, then moves into practical strategies that help students learn with AI without outsourcing thinking. It includes classroom-ready approaches for critical thinking, project-based learning, and routines that keep student reasoning visible and meaningful. It also brings in creativity and play as essential pathways, offering developmentally appropriate ways for children to explore AI through making, imagination, and reflection, with healthy boundaries in place. Finally, the training covers the essentials of ethics and law in education settings, including privacy, student protection, and intellectual property, so decisions are not only practical, but also responsible and compliant.Designed to be easy to follow no matter a teacher’s current level of AI experience, each module uses clear language, concrete examples, and actionable guidance. Teachers and leaders leave with guiding questions for choosing tools, clear classroom norms for student use, and activity ideas suited to ages 6–12. The training also supports confident conversations with students and parents, and helps schools align practice across classrooms so AI use is consistent, thoughtful, and child-centered.

The Industry 5.0 Data Science AI Professional Program is a comprehensive, industry-driven certification program designed to equip learners with the technical knowledge, analytical mindset, and practical skills required to excel in the fields of Data Science, Artificial Intelligence (AI), Machine Learning (ML), Business Analytics, and Intelligent Automation. Structured around the latest Industry 5.0 paradigm, the program emphasizes the seamless integration of human intelligence with AI technologies to create innovative, ethical, and sustainable solutions for complex business and societal challenges.The curriculum follows a progressive learning approach, beginning with Python programming, data science foundations, and data acquisition techniques. Learners will gain proficiency in Python programming concepts, including object-oriented programming, exception handling, functions, and advanced data structures, while mastering powerful libraries such as NumPy and Pandas for scientific computing and data manipulation. Students will also learn various methods of acquiring data from CSV, Excel, JSON files, web APIs, open datasets, and web scraping techniques, followed by exploratory data analysis (EDA) and data profiling to derive meaningful insights from raw data.The second phase of the program focuses on data wrangling, feature engineering, and statistical analysis, enabling learners to transform raw datasets into machine learning-ready data. Topics include data cleaning, missing value treatment, data transformation, normalization, standardization, outlier detection, anomaly detection, feature creation, feature selection, encoding techniques, and dimensionality reduction concepts. Learners will also build a strong foundation in descriptive and inferential statistics, probability distributions, hypothesis testing, confidence intervals, t-tests, chi-square tests, ANOVA, and sampling

Computer Network plays a vital role in connecting devices and facilitating communication and information sharing among them. This Computer Network course provides a comprehensive understanding of the fundamental concepts, protocols, and technologies that form the foundation of modern computer networks.Prof. Hitesh Dholakiya is a seasoned computer scientist with over 15 years of experience in the field of Computer Networks. With a passion for teaching and a wealth of industry knowledge, Prof. Hitesh Dholakiya is dedicated to helping students achieve their academic and professional goals in Computer Networks.This Computer Network course is specially designed for engineering students who want to understand how exactly computer Network works and is also helpful for working professionals. This Computer Network is a unique course in the online marketplace.This course on Computer Network is beneficial to students of various branches such as Computer Science, Computer Engineering, Electronics, and Communication Engineering, IT Engineering as well as students from the Science and Diploma stream.This Computer Network course serves as a valuable resource for both university students and working professionals alike, offering comprehensive insights into the fundamentals of computer networks.This course on Computer Networks covers the following chapters.1. Computer Network Fundamentals2. OSI Model3. Data Link Layer of Computer Network4. Error Detection and Correction5. LAN Protocols6. Network Devices of Computer Network7. Network Layer8. Transport Layer9. Application LayerTopic wise Detai

Tired of being overwhelmed by the sheer volume of academic literature? Transform your research process with "Mastering ChatGPT and AI Prompts Engineering for Literature Reviews." This systematic course moves beyond basic chatbot interactions, empowering you with the advanced skill of precision prompt engineering to conduct faster, deeper, and more effective research.We guide you through a complete, AI-engineered workflow. You will master the RAISE Framework (Role, Action, Input, Specifics, Examples) to craft flawless prompts that command AI to perform specific academic tasks. Learn to systematically define your research question, discover seminal papers, and critically analyze methodologies and findings. Master the art of synthesis by organizing themes across studies and confidently identifying research gaps.The curriculum includes hands-on assignments and a culminating capstone project where you will produce a complete literature review outline, accompanied by a "Prompt Log" demonstrating your engineered approach. We also cover crucial topics like academic integrity and iterative prompt refinement.Stop searching and start engineering. This course is essential for graduate students, academics, and research analysts ready to leverage AI as a strategic partner, saving countless hours and achieving superior scholarly outcomes. In lecture 31, you will access 50 ready-made AI academic prompts for fast-tracking your literature writing.Disclosure: “This course contains the use of artificial intelligence.”

Explain the electrical power and energy in DC AC systems . The course will cover the following topics :Voltage and Current in Direct Current ( DC ) systemsVoltage and Current in Alternative Current (AC) systemsResistance and Impedance Electrical Loads CategoriesRoot Mean Square value (RMS) and RMS value calculationUtilization of RMS in power calculationPower triangle and it's utilization in power calculation Power in Direct Current (DC) systemsEnergy in Direct Current (DC) systemsPower in Alternative Current (AC) systemsEnergy in Alternative Current (AC) systemsPower Factor (PF) and Power Factor calculationPower Factor correction procedure and requirementsCapacitors banks Capacitors banks values calculationCapacitors banks connection methods Conversion from delta form to star formAutomated Capacitors BanksPower Factor correction in medium voltage systems (MV)Capacitors Banks in medium voltage systems (MV)Advantages of delta form connectionAt the end of this course the students will be able to receive good knowledge and expertise in the field of electrical power and energy and related topics . They will be able as well to handle the power and energy projects and perform the required calculations of energy and power with sizing the capaciter banks to optimise the power quality by performing power factor correction effeciently.

Business English with Gen AI (ChatGPT)Master the Language of Success—One Smart Prompt at a TimeThis course is designed to be practical, engaging, and easy to follow. You'll learn Business English the smart way—using Generative AI tools like ChatGPT. Here's how:Tons of real-world examples for everyday business situationsPractical case studies based on HR, finance, interviews, and meetingsDozens of interactive role play exercises to practice speaking with AIEasy-to-use smart prompts to build vocabulary, grammar, and fluencyLearn by doing—with activities you can apply instantly to real work scenariosYou’ll unlock your full potential with the smartest Business English course built for the AI-powered workplace.What you’ll master:1000+ business words across leadership, HR, finance, and interviewsTop 100 business email words, 7 formats, and follow-up techniquesRole plays, quizzes, and case studies that boost communication skillsSmart grammar and vocabulary training powered by AISpeak clearly and lead with confidence using ChatGPT supportIdeal for job seekers, professionals, and business leaders, this course helps you communicate smarter, faster, and more effectively—anytime, anywhere.Let's boost your language with the help of Generative AI and ChatGPTDo not wait, enroll now and improve your Business English with another way