Visit This Web URL https://masterytrail.com/product/accredited-expert-level-ibm-automation-digital-workers-advanced-video-course Lesson 1: Introduction to IBM Automation Digital Workers
1.1 Overview of IBM Automation Digital Workers
1.2 Importance of Automation in Modern Businesses
1.3 Key Components of IBM Automation
1.4 Use Cases and Industry Applications
1.5 Benefits of Implementing Digital Workers
1.6 Prerequisites for the Course
1.7 Course Structure and Learning Outcomes
1.8 Setting Up the Learning Environment
1.9 Introduction to IBM Cloud Pak for Automation
1.10 Hands-On: Accessing IBM Automation Tools
Lesson 2: Understanding Digital Workers
2.1 Definition and Scope of Digital Workers
2.2 Types of Digital Workers
2.3 Role of AI and Machine Learning in Digital Workers
2.4 Integration with Existing Systems
2.5 Security and Compliance Considerations
2.6 Case Studies: Successful Implementations
2.7 Challenges and Solutions
2.8 Future Trends in Digital Workers
2.9 Best Practices for Deployment
2.10 Hands-On: Creating a Basic Digital Worker
Lesson 3: IBM Cloud Pak for Automation
3.1 Introduction to IBM Cloud Pak for Automation
3.2 Key Features and Benefits
3.3 Architecture Overview
3.4 Installation and Configuration
3.5 Managing Digital Workers on Cloud Pak
3.6 Scalability and Performance Optimization
3.7 Security and Governance
3.8 Integration with Other IBM Solutions
3.9 Use Cases and Industry Applications
3.10 Hands-On: Deploying Cloud Pak for Automation
Lesson 4: Designing Automation Workflows
4.1 Principles of Workflow Design
4.2 Identifying Automation Opportunities
4.3 Mapping Business Processes
4.4 Creating Workflow Diagrams
4.5 Using IBM Business Automation Workflow
4.6 Integrating with External Systems
4.7 Error Handling and Exception Management
4.8 Optimizing Workflow Performance
4.9 Best Practices for Workflow Design
4.10 Hands-On: Designing an Automation Workflow
Lesson 5: Robotic Process Automation (RPA) with IBM
5.1 Introduction to RPA
5.2 IBM RPA Offerings
5.3 Key Features and Benefits
5.4 Setting Up IBM RPA
5.5 Creating and Managing Bots
5.6 Integrating RPA with Digital Workers
5.7 Use Cases and Industry Applications
5.8 Security and Compliance Considerations
5.9 Best Practices for RPA Implementation
5.10 Hands-On: Building an RPA Bot
Lesson 6: Advanced RPA Techniques
6.1 Complex Workflow Automation
6.2 Handling Unstructured Data
6.3 Integrating AI and Machine Learning
6.4 Advanced Error Handling
6.5 Performance Tuning and Optimization
6.6 Scaling RPA Solutions
6.7 Security and Governance Best Practices
6.8 Case Studies: Advanced RPA Implementations
6.9 Future Trends in RPA
6.10 Hands-On: Implementing Advanced RPA Techniques
Lesson 7: IBM Business Automation Workflow
7.1 Introduction to IBM Business Automation Workflow
7.2 Key Features and Benefits
7.3 Setting Up and Configuring Workflow
7.4 Creating and Managing Workflow Applications
7.5 Integrating with Other IBM Solutions
7.6 Use Cases and Industry Applications
7.7 Security and Compliance Considerations
7.8 Best Practices for Workflow Management
7.9 Future Trends in Workflow Automation
7.10 Hands-On: Building a Workflow Application
Lesson 8: IBM Business Automation Content
8.1 Introduction to IBM Business Automation Content
8.2 Key Features and Benefits
8.3 Setting Up and Configuring Content Management
8.4 Creating and Managing Content Repositories
8.5 Integrating with Other IBM Solutions
8.6 Use Cases and Industry Applications
8.7 Security and Compliance Considerations
8.8 Best Practices for Content Management
8.9 Future Trends in Content Automation
8.10 Hands-On: Managing Content with IBM Automation
Lesson 9: IBM Business Automation Insights
9.1 Introduction to IBM Business Automation Insights
9.2 Key Features and Benefits
9.3 Setting Up and Configuring Insights
9.4 Creating and Managing Dashboards
9.5 Integrating with Other IBM Solutions
9.6 Use Cases and Industry Applications
9.7 Security and Compliance Considerations
9.8 Best Practices for Insights Management
9.9 Future Trends in Business Insights
9.10 Hands-On: Building an Insights Dashboard
Lesson 10: IBM Business Automation Capture
10.1 Introduction to IBM Business Automation Capture
10.2 Key Features and Benefits
10.3 Setting Up and Configuring Capture
10.4 Creating and Managing Capture Workflows
10.5 Integrating with Other IBM Solutions
10.6 Use Cases and Industry Applications
10.7 Security and Compliance Considerations
10.8 Best Practices for Capture Management
10.9 Future Trends in Capture Automation
10.10 Hands-On: Implementing a Capture Workflow
Lesson 11: IBM Operational Decision Manager
11.1 Introduction to IBM Operational Decision Manager
11.2 Key Features and Benefits
11.3 Setting Up and Configuring Decision Manager
11.4 Creating and Managing Decision Services
11.5 Integrating with Other IBM Solutions
11.6 Use Cases and Industry Applications
11.7 Security and Compliance Considerations
11.8 Best Practices for Decision Management
11.9 Future Trends in Decision Automation
11.10 Hands-On: Building a Decision Service
Lesson 12: IBM Business Automation Studio
12.1 Introduction to IBM Business Automation Studio
12.2 Key Features and Benefits
12.3 Setting Up and Configuring Automation Studio
12.4 Creating and Managing Automation Projects
12.5 Integrating with Other IBM Solutions
12.6 Use Cases and Industry Applications
12.7 Security and Compliance Considerations
12.8 Best Practices for Automation Studio
12.9 Future Trends in Automation Development
12.10 Hands-On: Developing an Automation Project
Lesson 13: IBM Automation Anywhere
13.1 Introduction to IBM Automation Anywhere
13.2 Key Features and Benefits
13.3 Setting Up and Configuring Automation Anywhere
13.4 Creating and Managing Automation Bots
13.5 Integrating with Other IBM Solutions
13.6 Use Cases and Industry Applications
13.7 Security and Compliance Considerations
13.8 Best Practices for Automation Anywhere
13.9 Future Trends in Automation Anywhere
13.10 Hands-On: Building an Automation Bot
Lesson 14: Advanced Automation Anywhere Techniques
14.1 Complex Bot Automation
14.2 Handling Unstructured Data with Bots
14.3 Integrating AI and Machine Learning with Bots
14.4 Advanced Error Handling for Bots
14.5 Performance Tuning and Optimization for Bots
14.6 Scaling Automation Anywhere Solutions
14.7 Security and Governance Best Practices for Bots
14.8 Case Studies: Advanced Automation Anywhere Implementations
14.9 Future Trends in Automation Anywhere
14.10 Hands-On: Implementing Advanced Bot Techniques
Lesson 15: IBM Automation Document Processing
15.1 Introduction to IBM Automation Document Processing
15.2 Key Features and Benefits
15.3 Setting Up and Configuring Document Processing
15.4 Creating and Managing Document Workflows
15.5 Integrating with Other IBM Solutions
15.6 Use Cases and Industry Applications
15.7 Security and Compliance Considerations
15.8 Best Practices for Document Processing
15.9 Future Trends in Document Automation
15.10 Hands-On: Implementing a Document Workflow
Lesson 16: IBM Automation for Data Capture
16.1 Introduction to IBM Automation for Data Capture
16.2 Key Features and Benefits
16.3 Setting Up and Configuring Data Capture
16.4 Creating and Managing Data Capture Workflows
16.5 Integrating with Other IBM Solutions
16.6 Use Cases and Industry Applications
16.7 Security and Compliance Considerations
16.8 Best Practices for Data Capture
16.9 Future Trends in Data Capture Automation
16.10 Hands-On: Implementing a Data Capture Workflow
Lesson 17: IBM Automation for Content Management
17.1 Introduction to IBM Automation for Content Management
17.2 Key Features and Benefits
17.3 Setting Up and Configuring Content Management
17.4 Creating and Managing Content Workflows
17.5 Integrating with Other IBM Solutions
17.6 Use Cases and Industry Applications
17.7 Security and Compliance Considerations
17.8 Best Practices for Content Management
17.9 Future Trends in Content Automation
17.10 Hands-On: Implementing a Content Workflow
Lesson 18: IBM Automation for Decision Management
18.1 Introduction to IBM Automation for Decision Management
18.2 Key Features and Benefits
18.3 Setting Up and Configuring Decision Management
18.4 Creating and Managing Decision Workflows
18.5 Integrating with Other IBM Solutions
18.6 Use Cases and Industry Applications
18.7 Security and Compliance Considerations
18.8 Best Practices for Decision Management
18.9 Future Trends in Decision Automation
18.10 Hands-On: Implementing a Decision Workflow
Lesson 19: IBM Automation for Process Mining
19.1 Introduction to IBM Automation for Process Mining
19.2 Key Features and Benefits
19.3 Setting Up and Configuring Process Mining
19.4 Creating and Managing Process Mining Workflows
19.5 Integrating with Other IBM Solutions
19.6 Use Cases and Industry Applications
19.7 Security and Compliance Considerations
19.8 Best Practices for Process Mining
19.9 Future Trends in Process Mining Automation
19.10 Hands-On: Implementing a Process Mining Workflow
Lesson 20: IBM Automation for Task Automation
20.1 Introduction to IBM Automation for Task Automation
20.2 Key Features and Benefits
20.3 Setting Up and Configuring Task Automation
20.4 Creating and Managing Task Automation Workflows
20.5 Integrating with Other IBM Solutions
20.6 Use Cases and Industry Applications
20.7 Security and Compliance Considerations
20.8 Best Practices for Task Automation
20.9 Future Trends in Task Automation
20.10 Hands-On: Implementing a Task Automation Workflow
Lesson 21: IBM Automation for AI Integration
21.1 Introduction to IBM Automation for AI Integration
21.2 Key Features and Benefits
21.3 Setting Up and Configuring AI Integration
21.4 Creating and Managing AI-Integrated Workflows
21.5 Integrating with Other IBM Solutions
21.6 Use Cases and Industry Applications
21.7 Security and Compliance Considerations
21.8 Best Practices for AI Integration
21.9 Future Trends in AI Integration
21.10 Hands-On: Implementing an AI-Integrated Workflow
Lesson 22: IBM Automation for Machine Learning Integration
22.1 Introduction to IBM Automation for Machine Learning Integration
22.2 Key Features and Benefits
22.3 Setting Up and Configuring Machine Learning Integration
22.4 Creating and Managing ML-Integrated Workflows
22.5 Integrating with Other IBM Solutions
22.6 Use Cases and Industry Applications
22.7 Security and Compliance Considerations
22.8 Best Practices for Machine Learning Integration
22.9 Future Trends in Machine Learning Integration
22.10 Hands-On: Implementing an ML-Integrated Workflow
Lesson 23: IBM Automation for Natural Language Processing (NLP)
23.1 Introduction to IBM Automation for NLP
23.2 Key Features and Benefits
23.3 Setting Up and Configuring NLP Integration
23.4 Creating and Managing NLP-Integrated Workflows
23.5 Integrating with Other IBM Solutions
23.6 Use Cases and Industry Applications
23.7 Security and Compliance Considerations
23.8 Best Practices for NLP Integration
23.9 Future Trends in NLP Integration
23.10 Hands-On: Implementing an NLP-Integrated Workflow
Lesson 24: IBM Automation for Optical Character Recognition (OCR)
24.1 Introduction to IBM Automation for OCR
24.2 Key Features and Benefits
24.3 Setting Up and Configuring OCR Integration
24.4 Creating and Managing OCR-Integrated Workflows
24.5 Integrating with Other IBM Solutions
24.6 Use Cases and Industry Applications
24.7 Security and Compliance Considerations
24.8 Best Practices for OCR Integration
24.9 Future Trends in OCR Integration
24.10 Hands-On: Implementing an OCR-Integrated Workflow
Lesson 25: IBM Automation for Image Processing
25.1 Introduction to IBM Automation for Image Processing
25.2 Key Features and Benefits
25.3 Setting Up and Configuring Image Processing Integration
25.4 Creating and Managing Image Processing Workflows
25.5 Integrating with Other IBM Solutions
25.6 Use Cases and Industry Applications
25.7 Security and Compliance Considerations
25.8 Best Practices for Image Processing Integration
25.9 Future Trends in Image Processing Integration
25.10 Hands-On: Implementing an Image Processing Workflow
Lesson 26: IBM Automation for Voice Recognition
26.1 Introduction to IBM Automation for Voice Recognition
26.2 Key Features and Benefits
26.3 Setting Up and Configuring Voice Recognition Integration
26.4 Creating and Managing Voice Recognition Workflows
26.5 Integrating with Other IBM Solutions
26.6 Use Cases and Industry Applications
26.7 Security and Compliance Considerations
26.8 Best Practices for Voice Recognition Integration
26.9 Future Trends in Voice Recognition Integration
26.10 Hands-On: Implementing a Voice Recognition Workflow
Lesson 27: IBM Automation for Speech Synthesis
27.1 Introduction to IBM Automation for Speech Synthesis
27.2 Key Features and Benefits
27.3 Setting Up and Configuring Speech Synthesis Integration
27.4 Creating and Managing Speech Synthesis Workflows
27.5 Integrating with Other IBM Solutions
27.6 Use Cases and Industry Applications
27.7 Security and Compliance Considerations
27.8 Best Practices for Speech Synthesis Integration
27.9 Future Trends in Speech Synthesis Integration
27.10 Hands-On: Implementing a Speech Synthesis Workflow
Lesson 28: IBM Automation for Sentiment Analysis
28.1 Introduction to IBM Automation for Sentiment Analysis
28.2 Key Features and Benefits
28.3 Setting Up and Configuring Sentiment Analysis Integration
28.4 Creating and Managing Sentiment Analysis Workflows
28.5 Integrating with Other IBM Solutions
28.6 Use Cases and Industry Applications
28.7 Security and Compliance Considerations
28.8 Best Practices for Sentiment Analysis Integration
28.9 Future Trends in Sentiment Analysis Integration
28.10 Hands-On: Implementing a Sentiment Analysis Workflow
Lesson 29: IBM Automation for Chatbot Integration
29.1 Introduction to IBM Automation for Chatbot Integration
29.2 Key Features and Benefits
29.3 Setting Up and Configuring Chatbot Integration
29.4 Creating and Managing Chatbot Workflows
29.5 Integrating with Other IBM Solutions
29.6 Use Cases and Industry Applications
29.7 Security and Compliance Considerations
29.8 Best Practices for Chatbot Integration
29.9 Future Trends in Chatbot Integration
29.10 Hands-On: Implementing a Chatbot Workflow
Lesson 30: IBM Automation for Virtual Assistants
30.1 Introduction to IBM Automation for Virtual Assistants
30.2 Key Features and Benefits
30.3 Setting Up and Configuring Virtual Assistant Integration
30.4 Creating and Managing Virtual Assistant Workflows
30.5 Integrating with Other IBM Solutions
30.6 Use Cases and Industry Applications
30.7 Security and Compliance Considerations
30.8 Best Practices for Virtual Assistant Integration
30.9 Future Trends in Virtual Assistant Integration
30.10 Hands-On: Implementing a Virtual Assistant Workflow
Lesson 31: IBM Automation for Customer Service Automation
31.1 Introduction to IBM Automation for Customer Service Automation
31.2 Key Features and Benefits
31.3 Setting Up and Configuring Customer Service Automation
31.4 Creating and Managing Customer Service Workflows
31.5 Integrating with Other IBM Solutions
31.6 Use Cases and Industry Applications
31.7 Security and Compliance Considerations
31.8 Best Practices for Customer Service Automation
31.9 Future Trends in Customer Service Automation
31.10 Hands-On: Implementing a Customer Service Workflow
Lesson 32: IBM Automation for HR Automation
32.1 Introduction to IBM Automation for HR Automation
32.2 Key Features and Benefits
32.3 Setting Up and Configuring HR Automation
32.4 Creating and Managing HR Workflows
32.5 Integrating with Other IBM Solutions
32.6 Use Cases and Industry Applications
32.7 Security and Compliance Considerations
32.8 Best Practices for HR Automation
32.9 Future Trends in HR Automation
32.10 Hands-On: Implementing an HR Workflow
Lesson 33: IBM Automation for Finance Automation
33.1 Introduction to IBM Automation for Finance Automation
33.2 Key Features and Benefits
33.3 Setting Up and Configuring Finance Automation
33.4 Creating and Managing Finance Workflows
33.5 Integrating with Other IBM Solutions
33.6 Use Cases and Industry Applications
33.7 Security and Compliance Considerations
33.8 Best Practices for Finance Automation
33.9 Future Trends in Finance Automation
33.10 Hands-On: Implementing a Finance Workflow
Lesson 34: IBM Automation for Supply Chain Automation
34.1 Introduction to IBM Automation for Supply Chain Automation
34.2 Key Features and Benefits
34.3 Setting Up and Configuring Supply Chain Automation
34.4 Creating and Managing Supply Chain Workflows
34.5 Integrating with Other IBM Solutions
34.6 Use Cases and Industry Applications
34.7 Security and Compliance Considerations
34.8 Best Practices for Supply Chain Automation
34.9 Future Trends in Supply Chain Automation
34.10 Hands-On: Implementing a Supply Chain Workflow
Lesson 35: IBM Automation for IT Operations Automation
35.1 Introduction to IBM Automation for IT Operations Automation
35.2 Key Features and Benefits
35.3 Setting Up and Configuring IT Operations Automation
35.4 Creating and Managing IT Operations Workflows
35.5 Integrating with Other IBM Solutions
35.6 Use Cases and Industry Applications
35.7 Security and Compliance Considerations
35.8 Best Practices for IT Operations Automation
35.9 Future Trends in IT Operations Automation
35.10 Hands-On: Implementing an IT Operations Workflow
Lesson 36: IBM Automation for DevOps Automation
36.1 Introduction to IBM Automation for DevOps Automation
36.2 Key Features and Benefits
36.3 Setting Up and Configuring DevOps Automation
36.4 Creating and Managing DevOps Workflows
36.5 Integrating with Other IBM Solutions
36.6 Use Cases and Industry Applications
36.7 Security and Compliance Considerations
36.8 Best Practices for DevOps Automation
36.9 Future Trends in DevOps Automation
36.10 Hands-On: Implementing a DevOps Workflow
Lesson 37: IBM Automation for Compliance and Governance
37.1 Introduction to IBM Automation for Compliance and Governance
37.2 Key Features and Benefits
37.3 Setting Up and Configuring Compliance Automation
37.4 Creating and Managing Compliance Workflows
37.5 Integrating with Other IBM Solutions
37.6 Use Cases and Industry Applications
37.7 Security and Compliance Considerations
37.8 Best Practices for Compliance Automation
37.9 Future Trends in Compliance Automation
37.10 Hands-On: Implementing a Compliance Workflow
Lesson 38: IBM Automation for Risk Management
38.1 Introduction to IBM Automation for Risk Management
38.2 Key Features and Benefits
38.3 Setting Up and Configuring Risk Management Automation
38.4 Creating and Managing Risk Management Workflows
38.5 Integrating with Other IBM Solutions
38.6 Use Cases and Industry Applications
38.7 Security and Compliance Considerations
38.8 Best Practices for Risk Management Automation
38.9 Future Trends in Risk Management Automation
38.10 Hands-On: Implementing a Risk Management Workflow
Lesson 39: IBM Automation for Audit Automation
39.1 Introduction to IBM Automation for Audit Automation
39.2 Key Features and Benefits
39.3 Setting Up and Configuring Audit Automation
39.4 Creating and Managing Audit Workflows
39.5 Integrating with Other IBM Solutions
39.6 Use Cases and Industry Applications
39.7 Security and Compliance Considerations
39.8 Best Practices for Audit Automation
39.9 Future Trends in Audit Automation
39.10 Hands-On: Implementing an Audit Workflow
Lesson 40: IBM Automation for Continuous Improvement
40.1 Introduction to IBM Automation for Continuous Improvement
40.2 Key Features and Benefits
40.3 Setting Up and Configuring Continuous Improvement Automation
40.4 Creating and Managing Continuous Improvement Workflows
40.5 Integrating with Other IBM Solutions
40.6 Use Cases and Industry Applications
40.7 Security and Compliance Considerations
40.8 Best Practices for Continuous Improvement Automation
40.9 Future Trends in Continuous Improvement Automation