{"id":4595,"date":"2025-09-15T11:02:32","date_gmt":"2025-09-15T11:02:32","guid":{"rendered":"https:\/\/pbi.ps\/?post_type=lp_course&p=4595"},"modified":"2025-11-02T10:28:13","modified_gmt":"2025-11-02T10:28:13","slug":"chatbots-2","status":"publish","type":"lp_course","link":"https:\/\/pbi.ps\/?lp_course=chatbots-2","title":{"rendered":"\u0623\u062f\u0648\u0627\u062a \u0627\u0644\u0630\u0643\u0627\u0621 \u0627\u0644\u0627\u0635\u0637\u0646\u0627\u0639\u064a \u0641\u064a \u062e\u062f\u0645\u0629 \u0627\u0644\u0639\u0645\u0644\u0627\u0621(Chatbots)"},"content":{"rendered":"

Introduction<\/strong>:<\/span><\/strong><\/span><\/p>\n

When customers experience<\/strong> faces a problem with a product or service, they want the right solution right away. Looking up a handbook or checking a help section is not common anymore these days. Customers search the web, call the hotline, or live chat with agents to immediately get the answer they are looking for. The annoyance starts when customers can\u2019t find the answer on their own or are passed on from agent to agent.<\/p>\n

A well-trained chatbot is capable of handling the most common requests on the spot, thus providing a high-quality service. At the same time, it gives agents more time to take care of complex cases. From a business point of view, chatbots in customer service are seen as a way to increase the employees\u2019 efficiency and maintain service levels.<\/p>\n

 <\/strong><\/p>\n

When customers want help<\/strong>, they want it fast. But without a 24-hour, experienced team of people on hand at all times, this can be challenging to deliver. Luckily, with recent leaps in AI technology, you can now use chatbots to enhance what you already deliver. While chatbots might seem like some scary vision of the future, they\u2019re just another tool for customer service.<\/p>\n

Chatbots are designed to sound human and offer support to customers who need it around the clock. They shouldn\u2019t replace your top-notch customer-service team, but they can help support them. Using chatbots can be good for human workloads as well as improving the customer experience.<\/p>\n

Target Audience:<\/u><\/strong><\/p>\n

This training course is intended for professionals interested in solving problems in the Banking sector using Artificial Intelligence.<\/p>\n

 <\/p>\n

Objectives<\/strong>:<\/strong><\/span><\/p>\n

\u00a7  The advantages and limitations of using chatbots for customer service<\/p>\n

\u00a7  Best practice guidelines for customizing your customer service chatbot<\/p>\n

\u00a7  Different types of chatbots based on the needs of your customers<\/p>\n

\u00a7  Personalize customer interactions<\/p>\n

\u00a7  Manage high levels of transactions<\/p>\n

\u00a7  Customer education<\/p>\n

\u00a7  Provide customer support<\/p>\n

\u00a7  Facilitate financial product applications<\/p>\n

 <\/p>\n

Course outlines:<\/strong><\/p>\n

Session 1: Introduction to Chatbots:<\/span><\/u><\/strong><\/p>\n

\u00b7       Welcome and Course Overview:<\/span><\/strong><\/p>\n

–        Introduction to the course and its objectives<\/p>\n

–        Overview of chatbot applications<\/p>\n

–        Course logistics and expectations<\/p>\n

\u00b7       History and Evolution of Chatbots:<\/span><\/strong><\/p>\n

–           Early chatbots (e.g., ELIZA)<\/p>\n

–           Modern chatbots and AI advancements<\/p>\n

\u00b7       Types of Chatbots:<\/span><\/strong><\/p>\n

–          Rule-based chatbots<\/p>\n

–          AI-driven chatbots<\/p>\n

–          Hybrid chatbots<\/p>\n

\u00b7       Chatbot Use Cases:<\/span><\/strong><\/p>\n

–           Customer service<\/p>\n

–           E-commerce<\/p>\n

–           Healthcare<\/p>\n

–           Other industries<\/p>\n

Session 2: Chatbot Design Principles:<\/span><\/u><\/strong><\/p>\n

\u00b7       User-Centric Design:<\/span><\/p>\n

–           Understanding user needs and goals<\/p>\n

–           Creating user personas<\/p>\n

\u00b7       Conversation Design:<\/span><\/strong><\/p>\n

–          Writing conversational flows<\/p>\n

–          Best practices for natural language interactions<\/p>\n

–          Error handling and fallback strategies<\/p>\n

\u00b7       Ethics in Chatbot Design:<\/span><\/strong><\/p>\n

–          Privacy concerns<\/p>\n

–          Ethical considerations and biases<\/p>\n

Session 3: Natural Language Processing (NLP):<\/span><\/u><\/strong><\/p>\n

\u00b7       Introduction to NLP:<\/span><\/p>\n

–          Basic concepts and terminology<\/p>\n

–          Overview of NLP techniques<\/p>\n

\u00b7       Core NLP Tasks for Chatbot:<\/strong><\/p>\n

–          Intent recognition<\/p>\n

–          Entity extraction<\/p>\n

\u00b7       NLP Tools and Frameworks:<\/strong><\/p>\n

–          Overview of popular NLP libraries (e.g., spaCy, NLTK)<\/p>\n

–          Practical examples and exercises<\/p>\n

Session 4: Building a Chatbot:<\/span><\/u><\/strong><\/p>\n

\u00b7       Chatbot Development Platforms:<\/p>\n

–          Comparison of popular platforms (e.g., Dialog flow, Microsoft Bot Framework)<\/p>\n

–          Selecting the right platform for your needs<\/p>\n

\u00b7       Hands-On Development:<\/strong><\/p>\n

–          Setting up a basic chatbot<\/p>\n

–          Implementing simple conversational flows<\/p>\n

–          Testing and debugging<\/p>\n

Session 5: Advanced Features and Integration:<\/span><\/u><\/strong><\/p>\n

\u00b7       Adding Advanced Features:<\/span><\/p>\n

–          Integrating with external APIs<\/p>\n

–          Handling complex queries<\/p>\n

–          Implementing machine learning models<\/p>\n

\u00b7       Integrating with Business Systems:<\/span><\/strong><\/p>\n

–         <\/span>CRM integration<\/p>\n

–         Data analytics and reporting<\/p>\n

–         Security and authentication<\/p>\n

 <\/p>\n

Session 6: Deployment and Maintenance:<\/span><\/u><\/strong><\/p>\n

\u00b7       Deployment Strategies:<\/p>\n

–         Deploying on different platforms (web, mobile, messaging apps)<\/p>\n

–         Scalability and performance considerations<\/p>\n

\u00b7       Monitoring and Maintenance:<\/strong><\/p>\n

–         Monitoring chatbot performance<\/p>\n

–         Continuous improvement and updates<\/p>\n

\u00b7       Future Trends and Innovations:<\/p>\n

–          Emerging technologies in chatbot development<\/p>\n

–          Future trends in AI and conversational interfaces<\/p>\n

 <\/p>\n

Training methods:<\/u><\/strong><\/p>\n

 An explanation of each axis, followed by practical application and case studies, along with a pre- and post-exam to measure the impact of the training.<\/p>\n

 <\/p>\n