المدرب:باسل عبيدات (مدرب خارجي)
مقدمة:
مع تطور العصر الرقمي أصبح العملاء يبحثون عن أسرع معاملة عبر الانترنت توفر عليهم الوقت والجهد. ومع اطلاق واجهة واتساب الأعمال “WhatsApp business API” خلق فرصة ذهبية لتقديم أفضل خدمة عملاء بربطه بـ الشات بوت المميز، حيث يمنحك التواصل التلقائي مع العملاء وصولاً فائق لهم، بجودة استثنائية ودعماً فورياً، من خلال روبوتات دردشة تفاعلية بأكثر من لغة.
Introduction
When customers experience 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’t find the answer on their own or are passed on from agent to agent
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’ efficiency and maintain service levels
When customers want help, 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’re just another tool for customer service
Chatbots are designed to sound human and offer support to customers who need it around the clock. They shouldn’t 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.
Objectives
The advantages and limitations of using chatbots for customer service
Best practice guidelines for customizing your customer service chatbot
Different types of chatbots based on the needs of your customers
Personalize customer interactions
Manage high levels of transactions
Customer education
Provide customer support
Facilitate financial product applications
Course outlines
Session 1: Introduction to Chatbots
Welcome and Course Overview
Introduction to the course and its objectives
Overview of chatbot applications
Course logistics and expectations
:History and Evolution of Chatbots
Early chatbots (e.g., ELIZA)
Modern chatbots and AI advancements
:Types of Chatbots
Rule-based chatbots
AI-driven chatbots
Hybrid chatbots
:Chatbot Use Cases
Customer service
E-commerce
Healthcare
Other industries
Session 2: Chatbot Design Principles
:User-Centric Design
Understanding user needs and goals
Creating user personas
:Conversation Design
Writing conversational flows
Best practices for natural language interactions
Error handling and fallback strategies
:Ethics in Chatbot Design
Privacy concerns
Ethical considerations and biases
Session 3: Natural Language Processing (NLP)
:Introduction to NLP
Basic concepts and terminology
Overview of NLP techniques
:Core NLP Tasks for Chatbot
Intent recognition
Entity extraction
:NLP Tools and Frameworks
Overview of popular NLP libraries (e.g., spaCy, NLTK)
Practical examples and exercises
Session 4: Building a Chatbot
:Chatbot Development Platforms
Comparison of popular platforms (e.g., Dialog flow, Microsoft Bot Framework)
Selecting the right platform for your needs
:Hands-On Development
Setting up a basic chatbot
Implementing simple conversational flows
Testing and debugging
Session 5: Advanced Features and Integration
:Adding Advanced Features
Integrating with external APIs
Handling complex queries
Implementing machine learning models
:Integrating with Business Systems
CRM integration
Data analytics and reporting
Security and authentication
Session 6: Deployment and Maintenance
:Deployment Strategies
Deploying on different platforms (web, mobile, messaging apps)
Scalability and performance considerations
:Monitoring and Maintenance
Monitoring chatbot performance
Continuous improvement and updates
:Future Trends and Innovations
Emerging technologies in chatbot development
Future trends in AI and conversational interfaces
Target Audience
This training course is intended for professionals interested in solving problems in the Banking sector using Artificial Intelligence
Training methods
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
عدد الساعات : 18 ساعة تدريبية
تاريخ الانعقاد : أيام السبت والاثنين والاربعاء من كل اسبوع 29 /06 – 10 / 07 / 2024
وقت الانعقاد : 17:30 – 20:30
مكان الانعقاد : من خلال تطبيق زووم
الرسوم: (250$) للمشارك الواحد من المؤسسات الأعضاء، و (350$) للمشارك الواحد من المؤسسات غير الأعضاء.
معلومات المدرب
باسل عبيدات (مدرب خارجي)
Artificial Intelligence & Data Science Trainer
Experience
2018–2019
Python• Trainer • Break Chain Company 2019–2020
Artificial Intelligence I• Trainer • IEEE 2020–2021
Web Development • Trainer • DOT Company 2021–2023
Deep Learning • Trainer • Luminous Collage University
Education
University of Jordan, Amman
(IT) Information Technology (Computer Information System (CIS) )
Certificate
Python (This Certificate Issued By IEEE)
Fundamentals of Python
Introduction to Artificial Intelligence & Data Science
Python Core
Introduction to Data Science
Python for Data Science
Python Intermediate
Statistic for Data Science
Data Analysis with Python
Intro to Python
Scientific Computing with python
