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This course equips payroll professionals with Workday's end-to-end payroll processing capabilities, from gross-to-net calculations to tax compliance. It's perfect for HR, finance, or payroll analysts working in countries where Workday Payroll is supported.

SAP HANA is SAP’s in-memory platform revolutionizing real-time data processing. This course prepares professionals to design, build, and manage high-performance data models and applications on HANA. By exploring architecture, data provisioning, modeling, and security, you’ll gain expertise in leveraging HANA’s speed and analytics capabilities. HANA skills open doors to BI, data engineering, and application development roles. This course equips you to harness the power of SAP HANA for both transactional and analytical processing.

This course provides a deep dive into Workday's Advanced Compensation functionality, including compensation cycles, merit planning, and bonus planning. It’s ideal for HR professionals and compensation analysts who need to manage complex pay programs, run annual cycles, and implement budgeting strategies across business units.

This course offers an in-depth look at developing smart contracts on Ethereum using Solidity. Targeted at developers who want to create decentralized applications (DApps), it provides both foundational theory and practical coding techniques. You'll understand the Ethereum Virtual Machine (EVM), learn Solidity syntax, and explore the lifecycle of smart contract deployment, testing, and security.

This course is tailored for professionals seeking to master data pipelines, big data platforms, and MLOps (Machine Learning Operations) practices. It's designed to bridge the gap between data science and production environments by teaching the tools and techniques required to make ML models reliable, scalable, and maintainable.

This power-packed course combines advanced-level topics in Workday Studio, Reporting, and Integration, making it ideal for technical consultants aiming to become full-stack Workday developers. It covers custom reports, Studio debugging, and complex data exchanges.

This course trains finance professionals to manage automated and manual bank reconciliations in Workday. You’ll learn how to match transactions, handle exceptions, and maintain up-to-date cash balances.

This course is designed for HR professionals and managers focused on employee development, succession planning, and performance tracking. Learn to create review templates, manage goal-setting frameworks, and conduct performance reviews in Workday.

This course serves as the starting point for blockchain enthusiasts, developers, and technology professionals. It lays a strong conceptual and technical foundation in the principles that power blockchain systems. Topics include distributed consensus, cryptographic mechanisms, and data structures such as Merkle trees and hash chains. It is ideal for learners aiming to understand how trustless systems work and why blockchain technology is considered revolutionary.

This course prepares learners for the AWS Certified Solutions Architect – Associate exam and teaches real-world cloud architecture principles. Ideal for IT professionals aiming to design scalable, fault-tolerant, and secure AWS-based systems.

This is a foundational course for anyone working with or supporting Workday’s HCM module. You’ll learn how to configure core HR functions such as hiring, onboarding, compensation, and security roles. Perfect for HR professionals, functional consultants, or anyone switching to Workday from other HR systems.

This course advances your Python-based analytics skills with automation, web scraping, API consumption, NLP, and dashboarding. It focuses on end-to-end automated analytics workflows.

SAP IBP empowers supply chain professionals to forecast demand, balance supply, and optimize inventory in a collaborative, cloud-based planning platform. This course prepares learners to deploy and support IBP modules like Demand Planning, Supply Planning, and Inventory Optimization. You’ll gain a clear understanding of planning operators, key figures, and advanced analytics. By the end, you’ll be ready to build agile, responsive supply chain plans.

SAP BTP (Business Technology Platform) is SAP’s unified platform for app development, integration, data management, and analytics in the cloud. This course prepares professionals to build, extend, and integrate SAP solutions on BTP. Covering Extension Suite, Integration Suite, security, and monitoring, it equips you with practical skills for modern SAP cloud projects.

SAP HANA is SAP’s in-memory platform revolutionizing real-time data processing. This course prepares professionals to design, build, and manage high-performance data models and applications on HANA. By exploring architecture, data provisioning, modeling, and security, you’ll gain expertise in leveraging HANA’s speed and analytics capabilities. HANA skills open doors to BI, data engineering, and application development roles. This course equips you to harness the power of SAP HANA for both transactional and analytical processing.

The SAP Analytics and Reporting course prepares professionals to analyze, visualize, and share SAP data with modern tools. Covering SAP Analytics Cloud (SAC), BW/4HANA, and Embedded Analytics, it empowers learners to transform raw data into actionable insights. Learners will develop dashboards, create models, and build predictive scenarios. By mastering these tools, you’ll support data-driven decisions across your organization.

The SAP S/4HANA Logistics course offers comprehensive training on managing and optimizing procurement, production, inventory, and order fulfillment processes. It’s designed for supply chain professionals and consultants looking to leverage S/4HANA’s real-time capabilities. By covering end-to-end logistics scenarios, you’ll gain the ability to plan, execute, and monitor supply chain operations seamlessly. The course emphasizes innovations like MRP Live and Advanced ATP, enabling faster, smarter decision-making. You’ll also learn how embedded analytics supports proactive supply chain management.

SAP EWM extends standard SAP warehouse capabilities, providing granular control over warehouse operations. This course teaches professionals how to configure, execute, and optimize processes in high-volume, complex warehouses. From inbound receipt to outbound shipping, EWM helps organizations improve inventory accuracy, picking speed, and warehouse resource utilization. By course end, you’ll confidently map warehouse requirements to EWM functionality and deliver efficient warehouse solutions.

The SAP S/4HANA Finance course is crafted for finance professionals, accountants, and SAP consultants aiming to master digital finance transformation. Covering both foundational and advanced topics, it prepares learners to handle complex accounting, financial reporting, and controlling tasks with S/4HANA’s simplified data structures. Learners will understand the Universal Journal, real-time analytics, and automation tools for faster period-end closings. By the end of this course, you’ll be able to design efficient, integrated financial processes supporting modern business requirements. The course also explores SAP Fiori apps for intuitive user experiences in financial operations.

The SAP MM course equips professionals with the knowledge to manage the entire procurement cycle, optimize inventory levels, and ensure accurate material valuations. It is ideal for purchasing officers, warehouse managers, and MM consultants. Covering everything from organizational structures to integrations, this course builds a solid foundation in efficient materials management. Learners gain the skills to configure MM processes supporting timely and cost-effective procurement. By the end, you’ll confidently manage end-to-end procure-to-pay processes in S/4HANA.

This course provides Workday administrators and consultants with the skills to configure and manage security frameworks in Workday. You’ll learn how to define access at the domain and business process level, manage security groups, and enforce data privacy

This course is for report writers and functional consultants who want to master the logic behind Workday's powerful Calculated Fields feature. You’ll learn how to manipulate data for reports, integrations, and business processes.

This course provides training on Workday’s Supply Chain Management suite, designed for healthcare and service industries. Learn how to manage procurement, inventory, supplier contracts, and supply chain planning in an integrated platform.

This course trains finance professionals to manage automated and manual bank reconciliations in Workday. You’ll learn how to match transactions, handle exceptions, and maintain up-to-date cash balances.

This course is designed for HR professionals and managers focused on employee development, succession planning, and performance tracking. Learn to create review templates, manage goal-setting frameworks, and conduct performance reviews in Workday.

This is a foundational course for anyone working with or supporting Workday’s HCM module. You’ll learn how to configure core HR functions such as hiring, onboarding, compensation, and security roles. Perfect for HR professionals, functional consultants, or anyone switching to Workday from other HR systems.

This course is designed for technical consultants already familiar with Workday Studio who want to master complex integration logic, external API handling, and error management. It explores advanced use cases, performance optimization, and component customization.

This course provides HR and operations professionals with the skills to configure, deploy, and support Workday’s Time Tracking module. Learn how to manage work schedules, time entry rules, and approvals—all integrated with payroll and compensation.

This course focuses on the crucial final mile of AI and ML workflows — deploying models into production environments and maintaining them efficiently. It’s designed for data scientists, ML engineers, and DevOps professionals looking to bridge the

gap between model development and business impact.

This cutting-edge course introduces learners to Generative AI and Generative Adversarial Networks (GANs), where models learn to generate new data resembling training data. It's aimed at professionals and enthusiasts eager to explore synthetic data creation, deepfakes, art generation, and AI creativity.

This comprehensive course is ideal for aspiring data scientists and machine learning practitioners looking to develop robust ML models using Python. It starts from foundational concepts and builds up to advanced machine learning techniques through a hands-on, project-driven approach.

A strategic course tailored for business professionals and non-technical leaders, "AI for Everyone" introduces artificial intelligence without complex math or programming. The course is designed to empower decision-makers, domain specialists, and executives to understand how AI can be effectively leveraged in business settings.

This course is designed for learners who want to master deep learning through hands-on experience with neural networks, convolutional models, recurrent architectures, and modern frameworks like TensorFlow and Keras. Ideal for professionals looking to apply AI in vision, speech, and sequence-based tasks.

This course is tailored for professionals seeking to master data pipelines, big data platforms, and MLOps (Machine Learning Operations) practices. It's designed to bridge the gap between data science and production environments by teaching the tools and techniques required to make ML models reliable, scalable, and maintainable.

This specialized course dives deep into Reinforcement Learning (RL), a branch of AI where agents learn to make decisions by interacting with environments. Geared towards data scientists and researchers, this course explores concepts that power game AI, robotics, industrial automation, and autonomous systems.

This course is designed for business leaders, product managers, and strategy professionals aiming to leverage AI as a driver of innovation and market differentiation. It focuses on integrating AI across business operations, transforming customer experiences, and creating scalable, data-driven product strategies.

This bundled course gives you a comprehensive foundation in Azure (AZ-900), Azure Data Fundamentals (DP-900), and Azure Data Engineering (DP-203), making it ideal for aspiring data engineers and cloud data professionals.

AZ-900 is designed for beginners and non-technical professionals looking to understand Azure's core concepts, services, pricing, and security.

This course prepares learners for the AWS Certified Solutions Architect – Associate exam and teaches real-world cloud architecture principles. Ideal for IT professionals aiming to design scalable, fault-tolerant, and secure AWS-based systems.

This course targets developers and integration architects who want to build scalable integrations in Microsoft Azure using Logic Apps, Service Bus, API Management, and Event Grid.

This course provides a comprehensive understanding of Decentralized Finance (DeFi) and the design principles behind tokenomics. It is designed for developers, product designers, and business analysts aiming to work with decentralized lending, yield farming, and synthetic asset protocols. Participants will learn how DeFi is reshaping traditional finance through decentralized exchanges, lending protocols, and automated market makers (AMMs).

This course offers an in-depth look at developing smart contracts on Ethereum using Solidity. Targeted at developers who want to create decentralized applications (DApps), it provides both foundational theory and practical coding techniques. You'll understand the Ethereum Virtual Machine (EVM), learn Solidity syntax, and explore the lifecycle of smart contract deployment, testing, and security.

This course serves as the starting point for blockchain enthusiasts, developers, and technology professionals. It lays a strong conceptual and technical foundation in the principles that power blockchain systems. Topics include distributed consensus, cryptographic mechanisms, and data structures such as Merkle trees and hash chains. It is ideal for learners aiming to understand how trustless systems work and why blockchain technology is considered revolutionary.

This course explores the architectural components and design patterns of public and private blockchain systems. It’s ideal for developers, system architects, and infrastructure engineers aiming to build custom blockchain platforms or understand protocol-level mechanics. Learners will examine how consensus, data propagation, and network synchronization are orchestrated at scale.

This course addresses the growing need for blockchains to communicate with one another. Ideal for developers and architects, it covers bridges, sidechains, messaging protocols, and Layer 0 technologies like Polkadot and Cosmos.

This course equips learners with the knowledge and tools to create end-to-end decentralized applications (DApps) that interact with Ethereum smart contracts. It is designed for developers who want to go beyond backend Solidity development and integrate blockchain functionality into dynamic web frontends using JavaScript frameworks like React.

This course is tailored to learners interested in the secure storage of crypto assets and blockchain-based identity management. Participants will understand how wallets function, types of wallet technologies, identity layers on blockchain, and interoperability across chains. Ideal for developers, fintech professionals, and cybersecurity experts.

This course focuses on private blockchain solutions using Hyperledger Fabric, an enterprise-grade permissioned distributed ledger platform. Designed for architects, developers, and business analysts, it provides hands-on experience building and deploying secure business networks and smart contracts (chaincode) for enterprise use cases.

This is an intensive introduction to using Python specifically for data science tasks. Ideal for beginners and analysts, it covers Python essentials and data libraries like pandas, NumPy, and visualization tools — laying the groundwork for advanced modules.

This comprehensive master course covers the full data science lifecycle — from data collection through modeling and deployment. Designed for aspiring data scientists, it blends theory, statistics, machine learning, data visualization, and real-world projects. You'll learn Python-based tools like pandas, scikit-learn, and TensorFlow to develop end-to-end

pipelines.

This course advances your Python-based analytics skills with automation, web scraping, API consumption, NLP, and dashboarding. It focuses on end-to-end automated analytics workflows.