In this training, you will learn how IBM Agent Builder software can be used to build, customize, debug, and package agents for use with IBM Performance Management and IBM Tivoli Monitoring products. In addition, you will learn to create agents that track a wide variety of different data sources. Further, you learn to mix, match, and manipulate monitored data to create custom and monitor data points. Moreover, you will also learn how to add custom components specific to the different IBM monitoring environments. IBM Agent Builder can create custom agents for both IBM Tivoli Monitoring 6.x and IBM Performance Management 8.x on-site and SaaS environments. This course is accessible to students from both environments, and students from each environment will have one class.

Why should you choose  Nisa Online Training to Learn IBM Agent Builder?

Nisa Trainings is the best online training platform for conducting one-on-one interactive live sessions with a 1:1 student-teacher ratio. You can gain hands-on experience by working on near-real-time projects under the guidance of our experienced faculty. We support you even after the completion of the course and are happy to clarify your doubts anytime. Our teaching style at Nisa Trainings is entirely hands-on. You’ll have access to our desktop screen and will be actively conducting hands-on labs on your desktop.

Job Assistance

If you face any problem while working on IBM Agent Builder, then Nisa Trainings is simply a Call/Text/Email away to assist you. We offer Online Job Support for professionals to assist them and to solve their problems in real-time.

The Process we follow for our Online Job Support Service:

• We receive your enquiry about Online Job Support.
• We will arrange a telephone call with our consultant to grasp your complete requirement and the tools you’re using.
• If our consultant is 100% confident in taking up your requirement and when you are also comfortable with our consultant, we will only agree to provide service. And then you have to make the payment to get the service from us.
• We will fix the timing for Online Job Support as mutually agreed by you and our consultant.

Course Information

IBM Agent Builder Training

Duration: 24 Hours
Timings: Weekdays  (1-2 Hours per day)  [OR]  Weekends (2-3 Hours per day)
Training Method: Instructor Led Online One-on-One Live Interactive Sessions.

COURSE CONTENT :

1. Introduction to IBM Agent Builder

• Overview of IBM Agent Builder and its capabilities.
• Benefits of using AI-driven virtual agents.
• Key components of Agent Builder (Dialogs, Intents, Entities, etc.).
• Use cases for virtual agents in different industries (e.g., customer support, HR, IT helpdesk).

2. Getting Started with IBM Agent Builder

• Creating an IBM Cloud account and setting up Watson Assistant.
• Navigating the Agent Builder interface.
• Understanding the project structure and workspace.
• Overview of different types of agents (e.g., Basic Agent, Enterprise Agent).

3. Building a Virtual Agent

• Defining and configuring intents (what the agent should understand).
• Creating entities (specific information the agent can extract from user input).
• Designing dialogs (defining conversational flows).
• Adding user inputs and intents to drive conversation paths.
• Managing context and variables to create dynamic conversations.

4. Training the Agent

• How to train an AI model with sample data (examples of phrases, keywords, etc.).
• Reviewing and testing trained intents and responses.
• Identifying training gaps and improving performance through additional training data.

5. Natural Language Processing (NLP)

• Overview of NLP concepts and how they apply to virtual agents.
• Using Watson NLP to enhance intent recognition.
• Customizing the natural language processing models.

6. Enhancing Virtual Agent Performance

• Adding multi-turn conversations for complex interactions.
• Using context and variables to handle conversations with multiple steps.
• Configuring error handling and fallback intents.
• Personalizing responses using user data and context.
• Handling ambiguous or incomplete user queries.

7. Integrating with External Systems

• Introduction to integrating Agent Builder with other IBM products (e.g., Watson Discovery, IBM Cloud functions).
• Setting up APIs and webhooks for external integrations.
• Connecting the virtual agent to other enterprise systems (e.g., CRM, ERP).

8. Deploying and Monitoring the Virtual Agent

• Preparing the virtual agent for deployment.
• Integrating the virtual agent with messaging platforms (e.g., Slack, WhatsApp, Web chat).
• Using analytics and reporting tools to monitor agent performance and user interactions.
• Optimizing the agent based on feedback and performance metrics.

9. Security and Privacy Considerations

• Ensuring data privacy and security in virtual agent interactions.
• Compliance with GDPR, CCPA, and other regulations.
• Managing user data and consent for AI interactions.

10. Advanced Features and Customization

• Customizing agent behavior using scripting and conditional logic.
• Extending the functionality of virtual agents using external services and custom APIs.
• Multi-language support and localization for global audiences.

11. Best Practices for Virtual Agents

• Designing for a positive user experience.
• Understanding user expectations and conversation design.
• Continuous improvement through testing, feedback, and iteration.
• Building an agent that can evolve with changing business needs.