AI Requirements Specialist Certification

AI Requirements Specialist (AIRS)

Course Outline

Session 1: Foundations of AI 

Objectives:

• Understand the fundamental concepts and types of AI.
• Recognize the impact of AI in today’s business environment across various industries.
• Comprehend the basics of Conversational AI and its components.
• Compare major Conversational AI platforms: Claude, ChatGPT, Copilot, and Gemini.
• Identify Intent Search platforms like Perplexity and AI development platforms such as Botpress, RASA, Amazon Lex, CustomGPT, and Voiceflow.
• Recognize how these platforms can be leveraged to enhance business processes and customer interactions.
• Gain hands-on experience in designing conversational flows, implementing NLU for understanding user queries, and integrating the KB for providing dynamic responses.

Breakout Activity:

• Activity: Participants will design a basic conversational flow, create intents, and integrate a knowledge base to provide dynamic responses.

Content:

I. Introduction to Artificial Intelligence (AI)

II. AI in Today’s Business Environment

III. Basics of Conversational AI

IV. Enhancing Customer Interactions with Conversational AI

V. Comparing Major Conversational AI Platforms

VI. Introduction to Intent Search Platforms

VII. Overview of AI Development Platforms

VIII. Preparing for AI Solutions with These Platforms

Session 2: Theoretical Foundations of Machine Learning and Advanced Conversational AI Features

Objectives:

• Define Machine Learning and distinguish it from traditional programming.
• Understand different types of Machine Learning and their applications.
• Comprehend key concepts in supervised learning, especially classification tasks.
• Explain advanced features in no-code conversational AI platforms, including context management, slot filling, multi-turn dialogs, and conditional logic.
• Recognize how these features help handle complex queries and ambiguous inputs.
• Understand how conversational AI agents manage context to deliver personalized experiences.
• Prepare to design complex, branching conversational flows using conditional logic.

Breakout Activity:

• Activity: Participants will design and build a conversational AI agent using advanced features such as context management, slot filling, multi-turn dialogs, and conditional logic to handle complex, multi-turn conversations.

Content:

I. Introduction to Machine Learning

II. Types of Machine Learning

III. Key Concepts in Supervised Learning

IV. Advanced Features in No-Code Conversational AI Platforms

V. Handling Complex Queries and Ambiguous Inputs

VI. Context Management and Dialog Design

VII. Practical Applications and Examples

Session 3: Introduction to Natural Language Processing and Large Language Models (LLMs)

Objectives:

• Grasp the fundamental concepts of NLP and its significance in AI.
• Understand what Large Language Models (LLMs) are and how they enhance NLP capabilities.
• Recognize key NLP techniques such as tokenization, intent recognition, and entity extraction.
• Identify practical applications of NLP and LLMs in various domains.
• Learn how to utilize NLP and LLM features within Voiceflow without coding.
• Acknowledge ethical considerations in NLP related to privacy, bias, and transparency.
• Prepare for hands-on experience with Voiceflow and LLMs in the upcoming session.

Breakout Activity:

• Activity: Participants will create a conversational agent in Voiceflow that leverages Large Language Models (LLMs) to handle complex user inputs and generate dynamic, context-aware responses.

Content:

I. Introduction to Natural Language Processing (NLP)

II. Understanding Large Language Models (LLMs)

III. NLP and LLMs in Conversational AI with Voiceflow

IV. Ethical Considerations in NLP and LLMs

V. Preparing for Hands-On Experience with Voiceflow and LLMs

Session 4: AI Business Requirements, Ethics, Governance, and Security

Objectives:

• Comprehend the importance of Business Requirement Documents (BRDs) in AI projects.
• Identify the key components and best practices for creating effective BRDs.
• Understand ethical principles and real-world considerations in AI development.
• Recognize the components and significance of AI governance.
• Learn about unique security challenges in AI and best practices to mitigate them.
• Incorporate ethics, governance, and security considerations into BRDs.
• Analyze case studies to understand the practical applications of these concepts.

Breakout Activity:

• Activity: Participants will initiate a BRD (Business Requirements Document) and analyze ethical considerations for AI projects.

Content:

I. Introduction to AI Business Requirements

II. Best Practices for BRD Creation

III. Ethics in AI

IV. AI Governance

V. Security Challenges in AI

VI. Components of AI Governance

VII. Case Studies and Examples

Session 5: Advanced Knowledge Base Integration and Optimization in Conversational AI

Objectives:

• Understand advanced Knowledge Base (KB) concepts and their significance in conversational AI.
• Structure and optimize Knowledge Bases for efficient retrieval and scalability.
• Integrate external data sources using APIs to enhance AI agent capabilities.
• Apply best practices for optimizing performance and user experience in AI agents.
• Prepare for hands-on activities involving advanced KB integration and optimization.

Breakout Activity:

• Activity: Participants will integrate an advanced Knowledge Base into a conversational AI agent using Voiceflow, optimize it for efficient information retrieval, and enhance its capabilities by connecting to external data sources via APIs.

Content:

I. Advanced Knowledge Base (KB) Concepts

II. Structuring and Optimizing Knowledge Bases

III. Integrating External Data Sources

IV. Best Practices for Optimization

V. Hands-On Integration with Voiceflow

Session 6: Process Automation with Zapier and AppSheet Integration

Objectives:

• Understand the fundamentals of process automation and its benefits.
• Familiarize yourself with Zapier and how it automates workflows between applications.
• Learn how to build simple applications using AppSheet without coding.
• Identify practical applications of process automation in various domains.
• Prepare for practical integration of these tools with AI agents using Voiceflow.

Breakout Activity:

• Activity: Participants will automate workflows by integrating their AI agents with Zapier and AppSheet, creating seamless processes that trigger actions based on user interactions with the chatbot.

Content:

I. Introduction to Process Automation

II. Automating Workflows with Zapier

III. Introduction to AppSheet

IV. Integrating Process Automation with AI Agents

V. Preparing for Hands-On Integration

Corporate Workshops Tailored to Your Needs
Benchmark Six Sigma offers customized versions of this program as corporate workshops, designed to meet your organization’s unique requirements. Elevate your team’s capabilities with hands-on, real-world training tailored to your business goals.