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Nlp And Chatbot Development With Python Training Course in Kenya

Introduction

The NLP and Chatbot Development with Python Training Course is designed for developers, AI practitioners, and public and private sector professionals seeking to harness the power of Natural Language Processing (NLP) for automating communication through intelligent chatbot systems. With organizations increasingly adopting conversational AI to streamline services, improve user engagement, and enhance operational efficiency, this course equips participants with cutting-edge skills to build scalable, interactive chatbots using Python-based NLP frameworks and libraries.

Participants will gain hands-on experience in designing, training, and deploying NLP-powered chatbots for real-world use cases. The course covers essential concepts in language modeling, intent recognition, entity extraction, and dialogue management, integrating these into fully functional chatbot systems using tools such as spaCy, NLTK, Rasa, and Transformer-based models. By the end of the training, learners will be empowered to deploy secure, context-aware, and multilingual chatbots that deliver accurate and human-like responses.

Target Audience

  • Software Developers and Engineers building AI solutions
  • Data Scientists working with text-based data
  • AI/ML Researchers exploring NLP applications
  • IT Consultants deploying automation tools
  • Public Sector Innovation Officers implementing digital transformation
  • Technical Product Managers designing chatbot features
  • Government Communication Officers managing citizen engagement tools

Course Objectives

  • Understand the fundamentals and applications of Natural Language Processing
  • Explore key NLP tasks such as tokenization, stemming, lemmatization, and POS tagging
  • Build rule-based and ML-based intent recognition systems
  • Develop conversational agents using Python and open-source libraries
  • Extract structured information from unstructured text using named entity recognition
  • Integrate dialogue management for contextual and multi-turn interactions
  • Deploy chatbots to platforms like web, WhatsApp, and Telegram
  • Implement multilingual support and custom entity extraction
  • Secure chatbots using authentication and rate-limiting strategies
  • Evaluate chatbot performance and user satisfaction metrics

Duration

10 Days

Course content

Module 1: Foundations of Natural Language Processing

  • Introduction to NLP tasks and applications
  • Text preprocessing: tokenization, stemming, stop words
  • Understanding linguistic features and corpora
  • Overview of spaCy and NLTK libraries
  • Creating pipelines for structured text analysis

Module 2: Intent Classification and Entity Extraction

  • Rule-based vs. ML-based classification models
  • Vectorization techniques: TF-IDF, word embeddings
  • Supervised learning for intent recognition
  • Named Entity Recognition with spaCy
  • Custom entity and slot filling for task automation

Module 3: Chatbot Architecture and Conversation Flow

  • Anatomy of a chatbot: intents, actions, responses
  • Dialogue flow design and finite state machines
  • Multi-turn conversations with contextual memory
  • Handling fallback and disambiguation logic
  • Logging, tracing, and debugging dialogues

Module 4: Building NLP Chatbots with Rasa and Python

  • Installing and configuring Rasa framework
  • Creating NLU training data and domain configuration
  • Developing stories and response templates
  • Integrating custom actions using Python
  • Deploying bots locally and with Docker

Module 5: Transformer Models for Advanced NLP

  • Understanding BERT, GPT, and transformer architectures
  • Transfer learning for language understanding
  • Using Hugging Face Transformers in Python
  • Fine-tuning models for custom intents and entities
  • Integrating large language models in chat workflows

Module 6: Multilingual and Cross-Cultural Chatbots

  • Tokenization and preprocessing for multilingual text
  • Language identification and translation strategies
  • Training language-specific NLU models
  • Adapting bot personas for different cultures
  • Managing locale-specific variations

Module 7: Integrating Chatbots with External APIs

  • Connecting chatbots to external data sources
  • Making RESTful API calls for dynamic responses
  • Integrating weather, search, and knowledge APIs
  • Building bots for data retrieval and ticketing systems
  • Managing JSON responses and error handling

Module 8: Deploying Chatbots to Real-World Platforms

  • Web integration with custom front-ends
  • Connecting to WhatsApp using Twilio or Meta APIs
  • Telegram and Facebook Messenger deployment
  • Creating secure endpoints for messaging services
  • Testing bot UX on multiple platforms

Module 9: Secure, Scalable Chatbot Infrastructure

  • Authenticating users and sessions
  • Managing state and user history securely
  • Rate limiting and bot abuse protection
  • Load testing and horizontal scaling strategies
  • Hosting bots on cloud platforms and containers

Module 10: Evaluating and Optimizing Chatbot Performance

  • Measuring NLU accuracy and response relevance
  • User feedback loops and retraining workflows
  • Monitoring conversation length, fallback rate
  • A/B testing different conversation paths
  • Using analytics dashboards and logs

Module 11: Case Studies and Government Use Cases

  • Citizen service bots for public administration
  • Health advisory bots and COVID-response examples
  • Legal assistance and form-filling automation
  • Civic engagement and participatory governance
  • Complaint handling and feedback automation

Training Approach

This course will be delivered by our skilled trainers who have vast knowledge and experience as expert professionals in the fields. The course is taught in English and through a mix of theory, practical activities, group discussion and case studies. Course manuals and additional training materials will be provided to the participants upon completion of the training.

Tailor-Made Course

This course can also be tailor-made to meet organization requirement. For further inquiries, please contact us on: Email: info@skillsforafrica.org, training@skillsforafrica.org Tel: +254 702 249 449

Training Venue

The training will be held at our Skills for Africa Training Institute Training Centre. We also offer training for a group at requested location all over the world. The course fee covers the course tuition, training materials, two break refreshments, and buffet lunch.

Visa application, travel expenses, airport transfers, dinners, accommodation, insurance, and other personal expenses are catered by the participant

Certification

Participants will be issued with Skills for Africa Training Institute certificate upon completion of this course.

Airport Pickup and Accommodation

Airport pickup and accommodation is arranged upon request. For booking contact our Training Coordinator through Email: info@skillsforafrica.org, training@skillsforafrica.org Tel: +254 702 249 449

Terms of Payment: Unless otherwise agreed between the two parties’ payment of the course fee should be done 10 working days before commencement of the training.

Course Schedule
Dates Fees Location Apply
07/07/2025 - 18/07/2025 $3000 Nairobi, Kenya
14/07/2025 - 25/07/2025 $5500 Johannesburg, South Africa
14/07/2025 - 25/07/2025 $3000 Nairobi, Kenya
04/08/2025 - 15/08/2025 $3000 Nairobi, Kenya
11/08/2025 - 22/08/2025 $3500 Mombasa, Kenya
18/08/2025 - 29/08/2025 $3000 Nairobi, Kenya
01/09/2025 - 12/09/2025 $3000 Nairobi, Kenya
08/09/2025 - 19/09/2025 $4500 Dar es Salaam, Tanzania
15/09/2025 - 26/09/2025 $3000 Nairobi, Kenya
06/10/2025 - 17/10/2025 $3000 Nairobi, Kenya
13/10/2025 - 24/10/2025 $4500 Kigali, Rwanda
20/10/2025 - 31/10/2025 $3000 Nairobi, Kenya
03/11/2025 - 14/11/2025 $3000 Nairobi, Kenya
10/11/2025 - 21/11/2025 $3500 Mombasa, Kenya
17/11/2025 - 28/11/2025 $3000 Nairobi, Kenya
01/12/2025 - 12/12/2025 $3000 Nairobi, Kenya
08/12/2025 - 19/12/2025 $3000 Nairobi, Kenya