Building Your First Chatbot: AI Agents in Action

• Basic knowledge of programming
• Familiarity with Python syntax
• Eagerness to learn about AI technologies

Audience

• AI beginners
• Programers
• Enthusiasts exploring chatbots and AI agents

AI agents are essential tools in modern artificial intelligence, enabling automation and interaction in diverse applications. Building chatbots is an exciting entry point into the world of AI agents. This course offers step-by-step guidance on designing, building, and deploying your first chatbot using natural language processing tools.

This instructor-led, live training (online or onsite) is aimed at beginner-level professionals who wish to understand how AI agents work and build their own interactive chatbot systems.

By the end of this training, participants will be able to:

• Understand the basics of AI agents and their applications.
• Explore the principles of natural language processing (NLP).
• Design a conversational flow for a chatbot.
• Develop a functional chatbot using Python and related tools.
• Deploy the chatbot to interact with real users.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

Introduction to AI Agents and Chatbots

• What are AI agents?
• Types of chatbots: Rule-based vs AI-driven
• Applications of chatbots in various industries

Basics of Natural Language Processing (NLP)

• Overview of NLP and its role in chatbots
• Tokenization, stemming, and lemmatization
• Understanding intents and entities

Planning Your Chatbot

• Defining the purpose and scope of your chatbot
• Designing conversational flows
• Creating training datasets for chatbot responses

Developing Your First Chatbot

• Setting up the development environment
• Building a simple chatbot using Python and Flask
• Implementing basic NLP features for conversation

Improving Chatbot Performance

• Adding fallback and error-handling mechanisms
• Enhancing responses with external APIs
• Testing and debugging your chatbot

Deploying Your Chatbot

• Hosting your chatbot on a local server
• Integrating the chatbot with messaging platforms
• Ensuring scalability and performance

Ethical Considerations and Best Practices

• Ensuring user data privacy and security
• Designing inclusive and unbiased chatbots
• Maintaining transparency in AI interactions

Exploring Advanced Chatbot Features

• Using machine learning for improved conversations
• Incorporating sentiment analysis
• Overview of advanced frameworks like Rasa

Summary and Next Steps