Visit This Web URL https://masterytrail.com/product/accredited-expert-level-sap-intelligent-enterprise-suite-advanced-video-course Lesson 1: Overview of SAP Intelligent Enterprise Suite
1.1. Definition and Scope
1.2. Key Components
1.3. Business Value
1.4. Architecture Overview
1.5. Integration Capabilities
1.6. Use Cases and Industry Applications
1.7. SAP Roadmap and Innovations
1.8. Prerequisites for Implementation
1.9. Certification Pathways
1.10. Hands-On Lab Setup
Lesson 2: SAP S/4HANA Fundamentals
2.1. Introduction to SAP S/4HANA
2.2. Core Features and Benefits
2.3. Migration Strategies
2.4. System Landscape Optimization
2.5. Data Management and Analytics
2.6. Finance and Controlling
2.7. Logistics and Supply Chain Management
2.8. Sales and Distribution
2.9. Production Planning
2.10. Case Studies and Best Practices
Lesson 3: SAP Fiori and User Experience
3.1. Introduction to SAP Fiori
3.2. Design Principles
3.3. Fiori Launchpad Configuration
3.4. Custom Fiori App Development
3.5. Integration with SAP S/4HANA
3.6. User Roles and Authorizations
3.7. Mobile Access and Responsiveness
3.8. Performance Optimization
3.9. Security Considerations
3.10. Real-World Implementation Scenarios
Lesson 4: SAP Analytics Cloud
4.1. Introduction to SAP Analytics Cloud
4.2. Key Features and Capabilities
4.3. Data Integration and Modeling
4.4. Visualization Techniques
4.5. Predictive Analytics
4.6. Planning and Forecasting
4.7. Collaboration and Sharing
4.8. Security and Governance
4.9. Integration with SAP BW/4HANA
4.10. Hands-On Exercises and Use Cases
Module 2: Advanced SAP Intelligent Enterprise Suite Components
Lesson 5: SAP SuccessFactors
5.1. Introduction to SAP SuccessFactors
5.2. Core HR and Payroll
5.3. Talent Management
5.4. Learning and Development
5.5. Workforce Analytics
5.6. Integration with SAP S/4HANA
5.7. Employee Central Configuration
5.8. Recruitment Management
5.9. Onboarding and Offboarding
5.10. Case Studies and Implementation Strategies
Lesson 6: SAP Ariba
6.1. Introduction to SAP Ariba
6.2. Procurement and Sourcing
6.3. Supplier Management
6.4. Contract Management
6.5. Invoice and Payment Management
6.6. Integration with SAP S/4HANA
6.7. Compliance and Risk Management
6.8. Analytics and Reporting
6.9. Collaboration and Networking
6.10. Real-World Use Cases
Lesson 7: SAP Concur
7.1. Introduction to SAP Concur
7.2. Travel and Expense Management
7.3. Invoice Management
7.4. Compliance and Auditing
7.5. Integration with SAP S/4HANA
7.6. Mobile Access and Usability
7.7. Reporting and Analytics
7.8. Customization and Configuration
7.9. Security and Data Protection
7.10. Implementation Best Practices
Lesson 8: SAP Customer Experience (C/4HANA)
8.1. Introduction to SAP C/4HANA
8.2. Commerce Cloud
8.3. Marketing Cloud
8.4. Sales Cloud
8.5. Service Cloud
8.6. Customer Data Cloud
8.7. Integration with SAP S/4HANA
8.8. Omnichannel Strategies
8.9. Personalization and Segmentation
8.10. Case Studies and Success Stories
Module 3: Technical Deep Dive and Integration
Lesson 9: SAP Cloud Platform
9.1. Introduction to SAP Cloud Platform
9.2. Core Services and Capabilities
9.3. Application Development
9.4. Integration Services
9.5. Data and Analytics
9.6. IoT and Machine Learning
9.7. Security and Identity Management
9.8. DevOps and CI/CD Pipelines
9.9. Multi-Cloud Strategies
9.10. Hands-On Projects and Labs
Lesson 10: SAP HANA and Database Management
10.1. Introduction to SAP HANA
10.2. In-Memory Computing
10.3. Data Modeling and Administration
10.4. Performance Tuning
10.5. High Availability and Disaster Recovery
10.6. Security and Compliance
10.7. Integration with SAP S/4HANA
10.8. Advanced Analytics and Machine Learning
10.9. Use Cases and Industry Applications
10.10. Hands-On Exercises and Scenarios
Lesson 11: SAP Integration Suite
11.1. Introduction to SAP Integration Suite
11.2. API Management
11.3. Process Integration
11.4. Data Integration
11.5. Messaging and Event Management
11.6. Integration Content Advisory
11.7. Security and Governance
11.8. Hybrid Integration Scenarios
11.9. Monitoring and Troubleshooting
11.10. Real-World Implementation Examples
Lesson 12: SAP Master Data Governance
12.1. Introduction to SAP MDG
12.2. Data Quality and Consistency
12.3. Governance Frameworks
12.4. Data Modeling and Workflows
12.5. Integration with SAP S/4HANA
12.6. Change Request Management
12.7. Data Validation and Cleansing
12.8. Reporting and Analytics
12.9. Compliance and Auditing
12.10. Case Studies and Best Practices
Module 4: Advanced Analytics and Intelligence
Lesson 13: SAP Data Warehouse Cloud
13.1. Introduction to SAP Data Warehouse Cloud
13.2. Data Integration and Modeling
13.3. Data Virtualization
13.4. Advanced Analytics
13.5. Real-Time Data Processing
13.6. Security and Governance
13.7. Integration with SAP BW/4HANA
13.8. Use Cases and Industry Applications
13.9. Performance Optimization
13.10. Hands-On Labs and Exercises
Lesson 14: SAP Intelligent Robotic Process Automation (RPA)
14.1. Introduction to SAP Intelligent RPA
14.2. Automation Use Cases
14.3. Bot Development and Deployment
14.4. Integration with SAP S/4HANA
14.5. Process Mining and Optimization
14.6. Security and Compliance
14.7. Monitoring and Maintenance
14.8. Scalability and Performance
14.9. Real-World Implementation Scenarios
14.10. Hands-On Projects and Labs
Lesson 15: SAP Analytics and Machine Learning
15.1. Introduction to SAP Analytics and ML
15.2. Data Preparation and Feature Engineering
15.3. Model Training and Evaluation
15.4. Deployment and Integration
15.5. Use Cases and Industry Applications
15.6. Security and Governance
15.7. Performance Tuning
15.8. Real-Time Analytics
15.9. Collaboration and Sharing
15.10. Hands-On Exercises and Scenarios
Lesson 16: SAP Digital Supply Chain
16.1. Introduction to SAP Digital Supply Chain
16.2. Demand and Supply Planning
16.3. Inventory Management
16.4. Transportation and Logistics
16.5. Warehouse Management
16.6. Integration with SAP S/4HANA
16.7. Real-Time Visibility and Tracking
16.8. Analytics and Reporting
16.9. Compliance and Risk Management
16.10. Case Studies and Best Practices
Module 5: Industry Solutions and Best Practices
Lesson 17: SAP Industry Solutions Overview
17.1. Introduction to SAP Industry Solutions
17.2. Manufacturing
17.3. Retail
17.4. Healthcare
17.5. Public Sector
17.6. Utilities
17.7. Financial Services
17.8. Automotive
17.9. Consumer Products
17.10. Case Studies and Success Stories
Lesson 18: SAP for Manufacturing
18.1. Introduction to SAP for Manufacturing
18.2. Production Planning and Control
18.3. Quality Management
18.4. Plant Maintenance
18.5. Integration with SAP S/4HANA
18.6. IoT and Industry 4.0
18.7. Supply Chain Optimization
18.8. Analytics and Reporting
18.9. Compliance and Regulations
18.10. Real-World Implementation Scenarios
Lesson 19: SAP for Retail
19.1. Introduction to SAP for Retail
19.2. Merchandise Management
19.3. Omni-Channel Commerce
19.4. Customer Experience
19.5. Integration with SAP S/4HANA
19.6. Inventory and Supply Chain Management
19.7. Analytics and Reporting
19.8. Loyalty and Promotions
19.9. Compliance and Regulations
19.10. Case Studies and Best Practices
Lesson 20: SAP for Healthcare
20.1. Introduction to SAP for Healthcare
20.2. Patient Management
20.3. Clinical Systems Integration
20.4. Financial Management
20.5. Integration with SAP S/4HANA
20.6. Compliance and Regulations
20.7. Analytics and Reporting
20.8. Supply Chain and Logistics
20.9. Patient Experience
20.10. Real-World Implementation Scenarios
Module 6: Advanced Configuration and Customization
Lesson 21: SAP S/4HANA Configuration
21.1. Introduction to SAP S/4HANA Configuration
21.2. IMG and SPRO Transactions
21.3. Customizing Tables and Views
21.4. Enhancement Framework
21.5. User Exits and BAdIs
21.6. Forms and Output Management
21.7. Workflow Configuration
21.8. Security and Authorizations
21.9. Performance Tuning
21.10. Hands-On Configuration Exercises
Lesson 22: SAP ABAP Programming
22.1. Introduction to SAP ABAP
22.2. Data Dictionary and Domains
22.3. Internal Tables and Loops
22.4. Modularization Techniques
22.5. Object-Oriented ABAP
22.6. ALV and SAPScript
22.7. Smart Forms and Adobe Forms
22.8. Performance Optimization
22.9. Debugging and Error Handling
22.10. Real-World Programming Scenarios
Lesson 23: SAP Fiori Elements and Annotations
23.1. Introduction to SAP Fiori Elements
23.2. Overview of Fiori Elements
23.3. OData Services and Annotations
23.4. Smart Templates and Floorplans
23.5. Customization and Extension
23.6. Integration with SAP S/4HANA
23.7. Performance Optimization
23.8. Security Considerations
23.9. Real-World Use Cases
23.10. Hands-On Development Exercises
Lesson 24: SAP Cloud Application Programming (CAP)
24.1. Introduction to SAP CAP
24.2. CAP Model and Services
24.3. OData and REST APIs
24.4. Event-Driven Architecture
24.5. Integration with SAP S/4HANA
24.6. Security and Authentication
24.7. Deployment and Scalability
24.8. Monitoring and Logging
24.9. Real-World Application Scenarios
24.10. Hands-On Projects and Labs
Module 7: Project Management and Implementation
Lesson 25: SAP Activate Methodology
25.1. Introduction to SAP Activate
25.2. Project Phases and Deliverables
25.3. Fit-to-Standard Analysis
25.4. Solution Design and Configuration
25.5. Data Migration Strategies
25.6. Testing and Quality Assurance
25.7. Go-Live and Support
25.8. Change Management
25.9. Risk Management
25.10. Case Studies and Best Practices
Lesson 26: SAP Project Systems
26.1. Introduction to SAP Project Systems
26.2. Project Planning and Scheduling
26.3. Cost and Revenue Management
26.4. Resource Management
26.5. Integration with SAP S/4HANA
26.6. Reporting and Analytics
26.7. Compliance and Regulations
26.8. Real-World Implementation Scenarios
26.9. Performance Optimization
26.10. Hands-On Configuration Exercises
Lesson 27: SAP Solution Manager
27.1. Introduction to SAP Solution Manager
27.2. Application Lifecycle Management
27.3. Change Request Management
27.4. Test Management
27.5. Monitoring and Diagnostics
27.6. Integration with SAP S/4HANA
27.7. Security and Compliance
27.8. Performance Optimization
27.9. Real-World Use Cases
27.10. Hands-On Configuration Exercises
Lesson 28: SAP Data Migration
28.1. Introduction to SAP Data Migration
28.2. Data Migration Strategies
28.3. Data Quality and Cleansing
28.4. Migration Tools and Techniques
28.5. Integration with SAP S/4HANA
28.6. Testing and Validation
28.7. Performance Optimization
28.8. Security Considerations
28.9. Real-World Migration Scenarios
28.10. Hands-On Migration Exercises
Module 8: Advanced Topics and Future Trends
Lesson 29: SAP and Blockchain
29.1. Introduction to Blockchain
29.2. SAP Blockchain Services
29.3. Use Cases and Industry Applications
29.4. Integration with SAP S/4HANA
29.5. Smart Contracts and DApps
29.6. Security and Compliance
29.7. Performance and Scalability
29.8. Real-World Implementation Scenarios
29.9. Future Trends and Innovations
29.10. Hands-On Projects and Labs
Lesson 30: SAP and Artificial Intelligence
30.1. Introduction to AI in SAP
30.2. SAP AI Business Services
30.3. Use Cases and Industry Applications
30.4. Integration with SAP S/4HANA
30.5. Machine Learning Models
30.6. Data Preparation and Feature Engineering
30.7. Model Training and Evaluation
30.8. Deployment and Scalability
30.9. Real-World AI Implementations
30.10. Future Trends and Innovations
Lesson 31: SAP and Internet of Things (IoT)
31.1. Introduction to IoT in SAP
31.2. SAP IoT Services
31.3. Use Cases and Industry Applications
31.4. Integration with SAP S/4HANA
31.5. Device Management and Connectivity
31.6. Data Ingestion and Processing
31.7. Analytics and Visualization
31.8. Security and Compliance
31.9. Real-World IoT Implementations
31.10. Future Trends and Innovations
Lesson 32: SAP and Sustainability
32.1. Introduction to Sustainability in SAP
32.2. SAP Sustainability Solutions
32.3. Carbon Footprint Management
32.4. Supply Chain Sustainability
32.5. Integration with SAP S/4HANA
32.6. Reporting and Compliance
32.7. Use Cases and Industry Applications
32.8. Performance Optimization
32.9. Real-World Sustainability Projects
32.10. Future Trends and Innovations
Module 9: Certification and Continuous Learning
Lesson 33: SAP Certification Pathways
33.1. Introduction to SAP Certifications
33.2. Certification Levels and Types
33.3. Exam Preparation Strategies
33.4. Study Materials and Resources
33.5. Practice Exams and Simulations
33.6. Certification Benefits
33.7. Continuous Learning and Development
33.8. Community and Networking
33.9. Real-World Certification Experiences
33.10. Future Certification Trends
Lesson 34: SAP Learning Hub
34.1. Introduction to SAP Learning Hub
34.2. Course Catalog and Offerings
34.3. Learning Journeys and Pathways
34.4. Hands-On Practice and Labs
34.5. Community and Collaboration
34.6. Certification Preparation
34.7. Continuous Learning and Development
34.8. Performance Tracking and Analytics
34.9. Real-World Learning Experiences
34.10. Future Learning Trends
Lesson 35: SAP Community and Networking
35.1. Introduction to SAP Community
35.2. Community Platforms and Forums
35.3. Networking and Collaboration
35.4. Events and Conferences
35.5. User Groups and Chapters
35.6. Contributing to the Community
35.7. Benefits of Community Engagement
35.8. Real-World Community Experiences
35.9. Future Community Trends
35.10. Hands-On Community Projects
Lesson 36: SAP Innovation and Roadmap
36.1. Introduction to SAP Innovation
36.2. SAP Roadmap and Vision
36.3. Emerging Technologies
36.4. Industry Trends and Insights
36.5. Innovation Labs and Sandboxes
36.6. Partner Ecosystem and Collaboration
36.7. Real-World Innovation Projects
36.8. Future Innovation Trends
36.9. Continuous Learning and Development
36.10. Hands-On Innovation Exercises
Module 10: Advanced Case Studies and Workshops
Lesson 37: Case Study: Manufacturing Industry
37.1. Introduction to the Case Study
37.2. Business Challenges and Objectives
37.3. Solution Design and Architecture
37.4. Implementation Strategies
37.5. Integration with SAP S/4HANA
37.6. Data Migration and Quality
37.7. Testing and Validation
37.8. Go-Live and Support
37.9. Lessons Learned and Best Practices
37.10. Future Improvements and Innovations
Lesson 38: Case Study: Retail Industry
38.1. Introduction to the Case Study
38.2. Business Challenges and Objectives
38.3. Solution Design and Architecture
38.4. Implementation Strategies
38.5. Integration with SAP S/4HANA
38.6. Data Migration and Quality
38.7. Testing and Validation
38.8. Go-Live and Support
38.9. Lessons Learned and Best Practices
38.10. Future Improvements and Innovations
Lesson 39: Workshop: Hands-On SAP S/4HANA Configuration
39.1. Introduction to the Workshop
39.2. Setting Up the Environment
39.3. Configuration Scenarios
39.4. Data Modeling and Master Data
39.5. Integration and Interfaces
39.6. Customization and Enhancements
39.7. Testing and Validation
39.8. Performance Tuning
39.9. Real-World Configuration Examples
39.10. Hands-On Configuration Exercises
Lesson 40: Workshop: Advanced SAP Fiori App Development
40.1. Introduction to the Workshop
40.2. Setting Up the Development Environment
40.3. Designing Fiori Apps
40.4. OData Services and Annotations
40.5. UI5 and JavaScript Programming
40.6. Integration with SAP S/4HANA
40.7. Customization and Extension
40.8. Testing and Validation
40.9. Performance Optimization