Visit This Web URL https://masterytrail.com/product/accredited-expert-level-ibm-rational-application-developer-advanced-video-course Lesson 1: Advanced Java EE Development with RAD
1.1. Enterprise JavaBeans (EJB) Advanced Configuration
1.2. Java Persistence API (JPA) Optimization Techniques
1.3. Web Services Advanced Integration
1.4. JavaServer Faces (JSF) Custom Components
1.5. Contexts and Dependency Injection (CDI) Advanced Use Cases
1.6. Java Message Service (JMS) Advanced Messaging Patterns
1.7. Security Enhancements in Java EE Applications
1.8. Performance Tuning for Java EE Applications
1.9. Advanced Transaction Management
1.10. Best Practices for Enterprise Application Design
Lesson 2: Deep Dive into WebSphere Application Server
2.1. Advanced Configuration of WebSphere Application Server
2.2. Clustering and High Availability Setup
2.3. Performance Monitoring and Tuning
2.4. Security Configuration and Best Practices
2.5. Deployment Automation Techniques
2.6. Troubleshooting Common Issues
2.7. Integration with Other IBM Products
2.8. Customizing WebSphere for Specific Needs
2.9. Advanced Logging and Auditing
2.10. WebSphere Administration Best Practices
Lesson 3: Mastering Rational Team Concert (RTC)
3.1. Advanced Source Control Management
3.2. Continuous Integration and Delivery Pipelines
3.3. Agile Project Management Techniques
3.4. Customizing Work Item Templates
3.5. Advanced Build Management
3.6. Integration with Other DevOps Tools
3.7. Automating Testing Processes
3.8. Collaboration and Communication Best Practices
3.9. Reporting and Analytics in RTC
3.10. Scaling RTC for Large Teams
Lesson 4: Advanced SOA and Integration Techniques
4.1. Service-Oriented Architecture (SOA) Best Practices
4.2. Advanced Web Services Configuration
4.3. Enterprise Service Bus (ESB) Implementation
4.4. Integration with Legacy Systems
4.5. Data Transformation and Mapping Techniques
4.6. Advanced Error Handling and Fault Tolerance
4.7. Security in SOA Environments
4.8. Performance Optimization for Integrated Systems
4.9. Monitoring and Management of SOA Solutions
4.10. Case Studies of Successful SOA Implementations
Lesson 5: Expert-Level Database Management with RAD
5.1. Advanced Database Design Techniques
5.2. Optimizing SQL Queries for Performance
5.3. Database Indexing and Partitioning
5.4. Advanced Transaction Management in Databases
5.5. Database Security and Compliance
5.6. Backup and Recovery Strategies
5.7. Integration with NoSQL Databases
5.8. Performance Tuning for Large Datasets
5.9. Advanced Data Modeling Techniques
5.10. Best Practices for Database Administration
Lesson 6: Advanced User Interface Development
6.1. Custom Component Development in JSF
6.2. Advanced AJAX Techniques
6.3. Responsive Design for Web Applications
6.4. Integrating Third-Party UI Libraries
6.5. Accessibility Best Practices
6.6. Performance Optimization for UI Components
6.7. Advanced CSS and JavaScript Techniques
6.8. Internationalization and Localization
6.9. User Experience (UX) Design Principles
6.10. Case Studies of Advanced UI Implementations
Lesson 7: Cloud Integration with IBM Rational Application Developer
7.1. Deploying Applications to IBM Cloud
7.2. Integration with AWS and Azure
7.3. Containerization with Docker and Kubernetes
7.4. Cloud-Native Application Design
7.5. Scaling Applications in the Cloud
7.6. Cloud Security Best Practices
7.7. Monitoring and Management of Cloud Applications
7.8. Cost Optimization Strategies
7.9. Hybrid Cloud Architectures
7.10. Case Studies of Cloud Migration Projects
Lesson 8: Advanced Testing Techniques
8.1. Automated Testing Frameworks
8.2. Unit Testing Best Practices
8.3. Integration Testing Strategies
8.4. Performance Testing Techniques
8.5. Security Testing Methodologies
8.6. Test-Driven Development (TDD)
8.7. Continuous Testing in CI/CD Pipelines
8.8. Test Data Management
8.9. Advanced Debugging Techniques
8.10. Case Studies of Successful Testing Implementations
Lesson 9: DevOps with IBM Rational Application Developer
9.1. Continuous Integration and Delivery (CI/CD) Pipelines
9.2. Infrastructure as Code (IaC)
9.3. Automated Deployment Strategies
9.4. Monitoring and Logging in DevOps
9.5. DevOps Security Best Practices
9.6. Collaboration and Communication in DevOps Teams
9.7. Scaling DevOps for Large Organizations
9.8. DevOps Metrics and KPIs
9.9. Case Studies of Successful DevOps Implementations
9.10. Future Trends in DevOps
Lesson 10: Advanced Mobile Application Development
10.1. Cross-Platform Mobile Development Techniques
10.2. Advanced Android Development
10.3. Advanced iOS Development
10.4. Mobile Application Security
10.5. Performance Optimization for Mobile Apps
10.6. Push Notifications and Background Services
10.7. Integrating Mobile Apps with Enterprise Systems
10.8. Mobile App Testing Strategies
10.9. User Experience (UX) Design for Mobile
10.10. Case Studies of Successful Mobile Apps
Lesson 11: Microservices Architecture with RAD
11.1. Designing Microservices Architectures
11.2. Service Discovery and Registration
11.3. API Gateway Implementation
11.4. Inter-Service Communication
11.5. Data Management in Microservices
11.6. Security in Microservices Architectures
11.7. Monitoring and Logging Microservices
11.8. Scaling Microservices
11.9. Deploying Microservices to the Cloud
11.10. Case Studies of Microservices Implementations
Lesson 12: Advanced Analytics and Reporting
12.1. Data Warehousing Techniques
12.2. Advanced SQL for Analytics
12.3. Business Intelligence (BI) Tools Integration
12.4. Data Visualization Techniques
12.5. Predictive Analytics and Machine Learning
12.6. Real-Time Analytics
12.7. Big Data Technologies Integration
12.8. Data Governance and Compliance
12.9. Performance Tuning for Analytics
12.10. Case Studies of Advanced Analytics Implementations
Lesson 13: Advanced Security Practices
13.1. Application Security Best Practices
13.2. Network Security Configuration
13.3. Data Encryption Techniques
13.4. Identity and Access Management (IAM)
13.5. Secure Coding Practices
13.6. Penetration Testing and Vulnerability Assessment
13.7. Incident Response Planning
13.8. Compliance and Regulatory Requirements
13.9. Security in Cloud Environments
13.10. Case Studies of Security Breaches and Resolutions
Lesson 14: Advanced Performance Tuning
14.1. Profiling and Monitoring Tools
14.2. Memory Management Techniques
14.3. Garbage Collection Tuning
14.4. Database Performance Optimization
14.5. Network Performance Tuning
14.6. Load Testing and Stress Testing
14.7. Caching Strategies
14.8. Asynchronous Processing Techniques
14.9. Performance Tuning for Microservices
14.10. Case Studies of Performance Optimization
Lesson 15: Advanced Project Management Techniques
15.1. Agile Project Management Methodologies
15.2. Scrum and Kanban Best Practices
15.3. Project Planning and Scheduling
15.4. Risk Management Techniques
15.5. Stakeholder Communication Strategies
15.6. Budgeting and Cost Management
15.7. Quality Assurance in Project Management
15.8. Project Monitoring and Control
15.9. Project Closure and Post-Implementation Review
15.10. Case Studies of Successful Projects
Lesson 16: Advanced Collaboration and Communication
16.1. Effective Team Communication Strategies
16.2. Collaboration Tools and Platforms
16.3. Remote Work Best Practices
16.4. Conflict Resolution Techniques
16.5. Cross-Functional Team Collaboration
16.6. Knowledge Sharing and Documentation
16.7. Feedback and Performance Reviews
16.8. Building a Collaborative Culture
16.9. Virtual Team Management
16.10. Case Studies of Effective Collaboration
Lesson 17: Advanced API Development and Management
17.1. RESTful API Design Best Practices
17.2. GraphQL API Development
17.3. API Security and Authentication
17.4. API Versioning Strategies
17.5. API Documentation and Testing
17.6. API Gateway and Management Tools
17.7. API Performance Optimization
17.8. API Monetization Strategies
17.9. Integrating APIs with Enterprise Systems
17.10. Case Studies of Successful API Implementations
Lesson 18: Advanced Data Management Techniques
18.1. Data Governance and Quality Management
18.2. Master Data Management (MDM)
18.3. Data Integration and ETL Processes
18.4. Data Lakes and Data Warehouses
18.5. Data Privacy and Compliance
18.6. Data Archiving and Retention Strategies
18.7. Data Lineage and Metadata Management
18.8. Advanced Data Modeling Techniques
18.9. Data Migration Best Practices
18.10. Case Studies of Advanced Data Management
Lesson 19: Advanced Cloud-Native Development
19.1. Cloud-Native Architecture Principles
19.2. Serverless Computing Techniques
19.3. Event-Driven Architecture
19.4. Cloud-Native Security Best Practices
19.5. Cloud-Native Monitoring and Logging
19.6. Cloud-Native CI/CD Pipelines
19.7. Cloud-Native Performance Optimization
19.8. Cloud-Native Data Management
19.9. Cloud-Native Application Scaling
19.10. Case Studies of Cloud-Native Applications
Lesson 20: Advanced AI and Machine Learning Integration
20.1. Integrating AI and ML Models with RAD
20.2. Data Preprocessing and Feature Engineering
20.3. Model Training and Evaluation Techniques
20.4. Deploying ML Models in Production
20.5. Real-Time Prediction and Analytics
20.6. AI and ML Security Best Practices
20.7. Ethical Considerations in AI and ML
20.8. Performance Optimization for ML Models
20.9. Integrating AI and ML with Enterprise Systems
20.10. Case Studies of AI and ML Implementations
Lesson 21: Advanced Blockchain Integration
21.1. Blockchain Fundamentals and Use Cases
21.2. Smart Contract Development
21.3. Blockchain Security Best Practices
21.4. Integrating Blockchain with Enterprise Systems
21.5. Blockchain Performance Optimization
21.6. Blockchain Governance and Compliance
21.7. Blockchain Interoperability
21.8. Blockchain Scalability Solutions
21.9. Blockchain Analytics and Reporting
21.10. Case Studies of Blockchain Implementations
Lesson 22: Advanced IoT Integration
22.1. IoT Architecture and Design Principles
22.2. IoT Device Management
22.3. IoT Data Collection and Processing
22.4. IoT Security Best Practices
22.5. Integrating IoT with Enterprise Systems
22.6. IoT Performance Optimization
22.7. IoT Analytics and Reporting
22.8. IoT Scalability Solutions
22.9. IoT Compliance and Regulatory Requirements
22.10. Case Studies of IoT Implementations
Lesson 23: Advanced Robotic Process Automation (RPA)
23.1. RPA Fundamentals and Use Cases
23.2. RPA Tool Selection and Implementation
23.3. RPA Process Design and Optimization
23.4. RPA Security Best Practices
23.5. Integrating RPA with Enterprise Systems
23.6. RPA Performance Monitoring and Tuning
23.7. RPA Governance and Compliance
23.8. RPA Scalability Solutions
23.9. RPA Analytics and Reporting
23.10. Case Studies of RPA Implementations
Lesson 24: Advanced Virtual Reality (VR) and Augmented Reality (AR) Integration
24.1. VR and AR Fundamentals and Use Cases
24.2. VR and AR Development Tools
24.3. VR and AR Content Creation
24.4. VR and AR Performance Optimization
24.5. Integrating VR and AR with Enterprise Systems
24.6. VR and AR Security Best Practices
24.7. VR and AR User Experience Design
24.8. VR and AR Analytics and Reporting
24.9. VR and AR Scalability Solutions
24.10. Case Studies of VR and AR Implementations
Lesson 25: Advanced Cybersecurity Practices
25.1. Cybersecurity Threat Landscape
25.2. Advanced Threat Detection Techniques
25.3. Incident Response and Forensics
25.4. Cybersecurity Compliance and Regulations
25.5. Advanced Encryption Techniques
25.6. Secure Software Development Lifecycle (SDLC)
25.7. Cybersecurity Risk Management
25.8. Cybersecurity Training and Awareness
25.9. Cybersecurity Monitoring and Analytics
25.10. Case Studies of Cybersecurity Breaches and Resolutions
Lesson 26: Advanced Disaster Recovery and Business Continuity
26.1. Disaster Recovery Planning
26.2. Business Continuity Strategies
26.3. Data Backup and Recovery Techniques
26.4. High Availability Architectures
26.5. Disaster Recovery Testing and Simulations
26.6. Disaster Recovery Compliance and Regulations
26.7. Disaster Recovery Monitoring and Analytics
26.8. Disaster Recovery Scalability Solutions
26.9. Disaster Recovery Best Practices
26.10. Case Studies of Disaster Recovery Implementations
Lesson 27: Advanced Compliance and Regulatory Management
27.1. Compliance Frameworks and Standards
27.2. Regulatory Requirements and Best Practices
27.3. Compliance Monitoring and Reporting
27.4. Compliance Risk Management
27.5. Compliance Training and Awareness
27.6. Compliance Audits and Assessments
27.7. Compliance Automation Tools
27.8. Compliance Scalability Solutions
27.9. Compliance Best Practices
27.10. Case Studies of Compliance Implementations
Lesson 28: Advanced Customer Experience (CX) Management
28.1. CX Design Principles
28.2. CX Analytics and Reporting
28.3. CX Personalization Techniques
28.4. CX Feedback and Surveys
28.5. CX Performance Monitoring and Tuning
28.6. CX Integration with Enterprise Systems
28.7. CX Security Best Practices
28.8. CX Compliance and Regulations
28.9. CX Scalability Solutions
28.10. Case Studies of CX Implementations
Lesson 29: Advanced Supply Chain Management
29.1. Supply Chain Design and Optimization
29.2. Supply Chain Analytics and Reporting
29.3. Supply Chain Risk Management
29.4. Supply Chain Compliance and Regulations
29.5. Supply Chain Performance Monitoring and Tuning
29.6. Supply Chain Integration with Enterprise Systems
29.7. Supply Chain Security Best Practices
29.8. Supply Chain Scalability Solutions
29.9. Supply Chain Best Practices
29.10. Case Studies of Supply Chain Implementations
Lesson 30: Advanced Financial Management
30.1. Financial Planning and Analysis
30.2. Budgeting and Forecasting Techniques
30.3. Financial Reporting and Compliance
30.4. Financial Risk Management
30.5. Financial Performance Monitoring and Tuning
30.6. Financial Integration with Enterprise Systems
30.7. Financial Security Best Practices
30.8. Financial Scalability Solutions
30.9. Financial Best Practices
30.10. Case Studies of Financial Management Implementations
Lesson 31: Advanced Human Resources Management
31.1. HR Strategic Planning
31.2. Talent Acquisition and Retention
31.3. Performance Management and Reviews
31.4. Employee Engagement and Satisfaction
31.5. HR Compliance and Regulations
31.6. HR Analytics and Reporting
31.7. HR Integration with Enterprise Systems
31.8. HR Security Best Practices
31.9. HR Scalability Solutions
31.10. Case Studies of HR Management Implementations
Lesson 32: Advanced Marketing Management
32.1. Marketing Strategies and Planning
32.2. Digital Marketing Techniques
32.3. Marketing Analytics and Reporting
32.4. Customer Segmentation and Targeting
32.5. Marketing Performance Monitoring and Tuning
32.6. Marketing Integration with Enterprise Systems
32.7. Marketing Security Best Practices
32.8. Marketing Compliance and Regulations
32.9. Marketing Scalability Solutions
32.10. Case Studies of Marketing Management Implementations
Lesson 33: Advanced Sales Management
33.1. Sales Strategies and Planning
33.2. Sales Forecasting and Pipeline Management
33.3. Sales Performance Monitoring and Tuning
33.4. Sales Integration with Enterprise Systems
33.5. Sales Security Best Practices
33.6. Sales Compliance and Regulations
33.7. Sales Analytics and Reporting
33.8. Sales Scalability Solutions
33.9. Sales Best Practices
33.10. Case Studies of Sales Management Implementations
Lesson 34: Advanced Operations Management
34.1. Operations Strategies and Planning
34.2. Operations Performance Monitoring and Tuning
34.3. Operations Integration with Enterprise Systems
34.4. Operations Security Best Practices
34.5. Operations Compliance and Regulations
34.6. Operations Analytics and Reporting
34.7. Operations Scalability Solutions
34.8. Operations Best Practices
34.9. Operations Risk Management
34.10. Case Studies of Operations Management Implementations
Lesson 35: Advanced IT Service Management (ITSM)
35.1. ITSM Frameworks and Best Practices
35.2. Service Desk and Incident Management
35.3. Problem Management and Root Cause Analysis
35.4. Change Management and Release Management
35.5. IT Asset Management
35.6. ITSM Performance Monitoring and Tuning
35.7. ITSM Integration with Enterprise Systems
35.8. ITSM Security Best Practices
35.9. ITSM Compliance and Regulations
35.10. Case Studies of ITSM Implementations
Lesson 36: Advanced Enterprise Architecture
36.1. Enterprise Architecture Frameworks
36.2. Enterprise Architecture Design and Planning
36.3. Enterprise Architecture Governance
36.4. Enterprise Architecture Integration with Enterprise Systems
36.5. Enterprise Architecture Security Best Practices
36.6. Enterprise Architecture Compliance and Regulations
36.7. Enterprise Architecture Performance Monitoring and Tuning
36.8. Enterprise Architecture Scalability Solutions
36.9. Enterprise Architecture Best Practices
36.10. Case Studies of Enterprise Architecture Implementations
Lesson 37: Advanced Data Science and Analytics
37.1. Data Science Fundamentals and Techniques
37.2. Advanced Data Visualization Techniques
37.3. Predictive Modeling and Forecasting
37.4. Data Science Tools and Platforms
37.5. Data Science Integration with Enterprise Systems
37.6. Data Science Security Best Practices
37.7. Data Science Compliance and Regulations
37.8. Data Science Performance Monitoring and Tuning
37.9. Data Science Scalability Solutions
37.10. Case Studies of Data Science Implementations
Lesson 38: Advanced Artificial Intelligence (AI) Integration
38.1. AI Fundamentals and Use Cases
38.2. AI Model Training and Evaluation
38.3. AI Integration with Enterprise Systems
38.4. AI Security Best Practices
38.5. AI Compliance and Regulations
38.6. AI Performance Monitoring and Tuning
38.7. AI Scalability Solutions
38.8. AI Ethics and Governance
38.9. AI Analytics and Reporting
38.10. Case Studies of AI Implementations
Lesson 39: Advanced Machine Learning (ML) Integration
39.1. ML Fundamentals and Use Cases
39.2. ML Model Training and Evaluation
39.3. ML Integration with Enterprise Systems
39.4. ML Security Best Practices
39.5. ML Compliance and Regulations
39.6. ML Performance Monitoring and Tuning
39.7. ML Scalability Solutions
39.8. ML Ethics and Governance
39.9. ML Analytics and Reporting
39.10. Case Studies of ML Implementations
Lesson 40: Advanced Innovation and Future Trends
40.1. Emerging Technologies and Trends
40.2. Innovation Strategies and Planning
40.3. Future of Work and Remote Collaboration
40.4. Sustainability and Green IT
40.5. Ethical Considerations in Technology
40.6. Future of AI and ML
40.7. Future of Cloud Computing
40.8. Future of IoT and Edge Computing
40.9. Future of Cybersecurity