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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.

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 in-depth training in Natural Language Processing (NLP) — a subfield of AI that enables machines to interpret, understand, and generate human language. It is designed for data science enthusiasts and ML engineers aiming to

work with text, speech, and language models.

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.

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 provides a complete guide to using Workday’s recruiting module, covering the hiring process from job requisition creation to candidate hire. It is ideal for HR teams, recruiters, and Workday HCM professionals aiming to manage talent pipelines effectively

This course is tailored for professionals preparing for Workday Human Capital Management (HCM) certification. It provides comprehensive material covering Core HCM concepts, tenant navigation, business processes, security, and reporting—all

aligned with Workday’s certification blueprint.

This course provides an in-depth understanding of the evolving legal, regulatory, and compliance requirements surrounding blockchain technology. It’s designed for compliance officers, legal professionals, and blockchain developers working with regulated industries.

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 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.

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

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.

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.

The SAP SD course empowers professionals to manage the entire order-to-cash cycle. It’s essential for those aiming for careers in sales operations, customer service, or SD consulting. By covering detailed configurations of sales documents, deliveries, billing, and pricing, this course ensures smooth customer order processing. Learners will explore credit management and gain insights into optimizing revenue flows. With real-world examples, the course prepares you to improve customer satisfaction through efficient sales operations.

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 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.

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 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.

SAP Analytics Cloud (or SAP Cloud for Analytics) is a software as a service (SaaS) business intelligence (BI) platform designed by SAP specifically with the intent of providing all analytics capabilities to all users in one product. It is primarily suitable for SAP Consultants who is working with SAP BW, SAP BI, SAP BO, and SAP ECC-based Business Users, analysts who want to report and analyze using Dashboards/Visualization/Charts and Planning. This tool is generally a HANA Cloud-based Platform tool used for Reporting, Visualization/Dashboard, and Planning.

Are you wondering why SAP ABAP is a great course to join? Here are five compelling reasons why you and your team should get on board!

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.

This course introduces learners to Workday Learning, an employee development and training platform within the Workday suite. It’s ideal for L&D teams, HR partners, and Workday Learning administrators.

This course provides a deep dive into Workday's compensation structure, helping HR professionals and consultants design and implement base pay frameworks, compensation grades, plans, and packages.

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 is designed for professionals managing employee expenses, reimbursements, and approvals in Workday Financials. You’ll learn how to configure expense categories, audit rules, workflows, and mobile submissions for a streamlined, paperless process.

This course is designed for technical consultants and developers aiming to integrate Workday with external systems using EIBs, Core Connectors, and Workday Web Services. It focuses on foundational integration patterns, system security, and Workday tools for managing data flow in and out of the tenant. Whether you're moving HR, payroll, or financial data, this course prepares you to build efficient and secure integrations.

This course enables Workday professionals to integrate and analyze external data alongside Workday data using Prism Analytics. It is designed for analysts and developers who need to build datasets, create data pipelines, and deliver secure insights.

This course provides a comprehensive introduction to Workday Financial Management. It is tailored for finance professionals, consultants, and systems analysts who want to manage accounting, suppliers, customers, and financial reporting in Workday. Learn how to structure financial data, automate processes, and generate compliance-ready reports.

This course is tailored for developers and technical consultants who want to connect thirdparty applications to Workday using REST-based web services. It provides hands-on training in using Workday REST APIs for reading and updating data, handling authentication, and applying Workday security concepts.

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 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 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 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 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.

This course provides in-depth training in Natural Language Processing (NLP) — a subfield of AI that enables machines to interpret, understand, and generate human language. It is designed for data science enthusiasts and ML engineers aiming to

work with text, speech, and language models.

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 offers a comprehensive dive into the rapidly evolving world of Computer Vision, enabling learners to design intelligent systems that can interpret and process visual data. Tailored for those interested in applications like facial recognition, object detection, medical imaging, and autonomous vehicles, this course is hands-on and industry-focused.

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.

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.

AZ-900 is designed for beginners and non-technical professionals looking to understand Azure's core concepts, services, pricing, 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 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 provides an in-depth understanding of the evolving legal, regulatory, and compliance requirements surrounding blockchain technology. It’s designed for compliance officers, legal professionals, and blockchain developers working with regulated industries.

This course focuses on deploying blockchain solutions using cloud services and Blockchain-as-a-Service platforms. It's suited for DevOps engineers, solution architects, and enterprise IT professionals seeking to scale DLT solutions.

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

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.