It Contains Courses which is Added for the First Time in (September 2023).
Team building | Motivation | Leadership styles | Retention | Feedback | Performance | Remote management | KPIs What you will learn ‘; }}); Build and structure effective HR and people management systems in a company Use top management tools from companies like Google, Facebook, and Gallup Recruit and onboard high-performing team members using A-player …
People Management MBA: Build and Lead High-Performing Teams Read More »
Lead AI-Driven Organizations | Master Governance, Data Strategy & C-Suite Leadership for Scalable Innovation What you will learn ‘; }}); Lead enterprise-wide AI strategy by aligning data, technology, and business goals into a cohesive, value-driven roadmap. Evaluate, prioritize, and scale AI use cases that drive measurable outcomes across customer experience, operations, and innovation. Design robust …
Certified Chief AI Officer Program: AI Strategy & Governance Read More »
Hands-On Machine Learning, Deep Learning, Quantum Algorithms & Hybrid AI-QC Applications What you will learn ‘; }}); Master AI & Machine Learning – Learn AI fundamentals, Supervised & Unsupervised Learning, and build real-world ML models from scratch. Build Deep Learning Models – Train Neural Networks, CNNs, and RNNs using TensorFlow & PyTorch for image recognition, …
AI & Quantum Computing Mastery: From Zero to Expert Bootcamp Read More »
Become an AI-Ready HR Leader: From Compliance Expert to Innovation Champion What you will learn ‘; }}); Develop and implement AI governance frameworks for HR operations that ensure compliance with global standards while maintaining operational efficiency. Master risk management for HR AI systems: identify risks, create mitigation plans, and establish monitoring protocols to protect your …
Master NetworkX, Social Network Analysis & Shortest Path Algorithms – Build 4 Professional Projects with Graph Theory What you will learn ‘; }}); Master fundamental graph theory algorithms including DFS, BFS, Dijkstra’s Algorithm, and implement them efficiently using Python and NetworkX Build a complete social network analyzer from scratch, including visualization tools and community detection …
Stock Market & Economics Basics. Fundamental Stats. Stock Trading & Portfolio Building Strategies. Technical Analysis. What you will learn ‘; }}); Investing 101: The Statistics of Investing & Portfolio Management Asset Selection, Risk Mitigation & Portfolio Balancing Financial Statements & Major KPIs Basic Economics & Market Indicators The Investment Landscape & Who Does What Custom …
The Portfolio Playbook: Build Winning Investment Portfolios Read More »
Master API Integration, Docker Containerization, Kubernetes & Cloud Deployment for Production-Ready GenAI Applications What you will learn ‘; }}); Deploy generative AI models in real-world applications with ease and efficiency. Integrate APIs to enhance AI capability within custom applications. Develop interactive applications using frameworks like Streamlit. Containerize AI solutions using Docker for seamless deployment. Master …
Master PWA development with Python & Django. Create offline-capable, responsive apps from setup to Play Store deployment What you will learn ‘; }}); Build a complete Progressive Web App from scratch using Python, Django, and JavaScript Implement offline capabilities, service workers, and web app manifest for true PWA functionality Create responsive, interactive interfaces with Bootstrap, …
Build Progressive Web Apps: Python Django PWA Masterclass Read More »
Sampling Methods Why take this course? 在这个课程中，我们将详细探讨不同的抽样方法，这些方法在定量和定性研究设计中都是重要的。以下是课程大纲的概述： ‘; }}); Section 1: 课程概览 介绍课程的目标和内容 简述抽样在研究设计中的作用 Section 2: 抽样 terminology and concepts 研究人群 (Study Population): 你想要推理或说服的所有个体 样本 (Sample): 从研究人群中选择的代表性集合 样本大小 (Sample Size): 在实际抽样中使用的个体数量 抽样策略 (Sampling Strategy): 用于从研究人群中选择样本的方法 抽样单位 (Sampling Unit): 在抽样过程中考虑的基本个体（例如，个人、家庭） 抽样框架 (Sampling Frame): 包含研究人群信息的数据集 样本统计 (Sample Statistics): 描述样本特征的数据（均值、标准差等） Section 3: 随机/概率抽样设计和非随机/非概率抽样设计 随机抽样：所有单位都有被选中的机会，例如简单随机抽样(SRS)、系统atic随机抽样等。 非随机抽样：选择单位不基于概率机制，例如挫折采样(Convenience Sampling)、引人注目的性质抽样(Purposive Sampling)等。 Section …
Sampling Designs in Qualitative and Quantitative Research Read More »
Understanding the Fundamentals of User-Centered Research Why take this course? 🎓 Course Headline: 🚀 Understanding the Fundamentals of User-Centered Research 🔍 Welcome to “Foundations of User Research”! Are you ready to embark on a journey into the world of user research, where insights pave the way for exceptional product design? This course is your ultimate …
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