Certified Specialist Programme in Conversational AI for PR
-- viewing nowConversational AI is revolutionizing the way we interact with technology. The Certified Specialist Programme in Conversational AI for PR is designed for PR professionals who want to stay ahead of the curve.
7,375+
Students enrolled
GBP £ 149
GBP £ 215
Save 44% with our special offer
About this course
Conversational AI is no longer a buzzword, but a necessity for effective communication. This programme equips PR specialists with the skills to create engaging conversational experiences that drive results.
Through interactive modules and hands-on exercises, learners will gain a deep understanding of conversational AI, its applications, and best practices. They will learn how to design and implement conversational AI solutions that meet the needs of their clients and stakeholders.
By the end of the programme, learners will be able to develop and deploy conversational AI models that drive business outcomes. Don't miss out on this opportunity to future-proof your career. Explore the Certified Specialist Programme in Conversational AI for PR today and discover how conversational AI can transform your work.
100% online
Learn from anywhere
Shareable certificate
Add to your LinkedIn profile
2 months to complete
at 2-3 hours a week
Start anytime
No waiting period
Course details
•
Conversational AI Fundamentals: This unit covers the basics of conversational AI, including its history, types, and applications. It provides an overview of the key concepts, technologies, and tools used in conversational AI, including natural language processing (NLP), machine learning, and dialogue management. •
Dialogue Management for Conversational AI: This unit focuses on the design and implementation of dialogue management systems for conversational AI. It covers topics such as intent recognition, entity extraction, and response generation, and provides hands-on experience with popular dialogue management frameworks and tools. •
Conversational AI for Customer Service: This unit explores the application of conversational AI in customer service, including chatbots, virtual assistants, and voice-based interfaces. It covers topics such as sentiment analysis, entity recognition, and response generation, and provides case studies and best practices for implementing conversational AI in customer service. •
Conversational AI for Marketing and Sales: This unit examines the use of conversational AI in marketing and sales, including lead generation, lead nurturing, and customer engagement. It covers topics such as chatbots, virtual assistants, and conversational marketing platforms, and provides strategies and tactics for leveraging conversational AI in marketing and sales. •
Conversational AI for Healthcare: This unit discusses the application of conversational AI in healthcare, including patient engagement, symptom checking, and medical diagnosis. It covers topics such as NLP, machine learning, and data analytics, and provides case studies and best practices for implementing conversational AI in healthcare. •
Conversational AI Ethics and Governance: This unit addresses the ethical and governance implications of conversational AI, including data privacy, bias, and transparency. It covers topics such as regulatory frameworks, industry standards, and best practices for ensuring the responsible development and deployment of conversational AI. •
Conversational AI for Social Media Management: This unit explores the use of conversational AI in social media management, including social media monitoring, crisis management, and customer engagement. It covers topics such as chatbots, virtual assistants, and social media analytics, and provides strategies and tactics for leveraging conversational AI in social media management. •
Conversational AI for Content Creation: This unit examines the application of conversational AI in content creation, including automated writing, content generation, and content optimization. It covers topics such as NLP, machine learning, and data analytics, and provides case studies and best practices for implementing conversational AI in content creation. •
Conversational AI for Language Translation: This unit discusses the application of conversational AI in language translation, including machine translation, human translation, and language localization. It covers topics such as NLP, machine learning, and data analytics, and provides case studies and best practices for implementing conversational AI in language translation. •
Conversational AI for Voice Assistants: This unit explores the application of conversational AI in voice assistants, including Amazon Alexa, Google Assistant, and Apple Siri. It covers topics such as NLP, machine learning, and data analytics, and provides hands-on experience with popular voice assistant platforms and tools.
Conversational AI Fundamentals: This unit covers the basics of conversational AI, including its history, types, and applications. It provides an overview of the key concepts, technologies, and tools used in conversational AI, including natural language processing (NLP), machine learning, and dialogue management. •
Dialogue Management for Conversational AI: This unit focuses on the design and implementation of dialogue management systems for conversational AI. It covers topics such as intent recognition, entity extraction, and response generation, and provides hands-on experience with popular dialogue management frameworks and tools. •
Conversational AI for Customer Service: This unit explores the application of conversational AI in customer service, including chatbots, virtual assistants, and voice-based interfaces. It covers topics such as sentiment analysis, entity recognition, and response generation, and provides case studies and best practices for implementing conversational AI in customer service. •
Conversational AI for Marketing and Sales: This unit examines the use of conversational AI in marketing and sales, including lead generation, lead nurturing, and customer engagement. It covers topics such as chatbots, virtual assistants, and conversational marketing platforms, and provides strategies and tactics for leveraging conversational AI in marketing and sales. •
Conversational AI for Healthcare: This unit discusses the application of conversational AI in healthcare, including patient engagement, symptom checking, and medical diagnosis. It covers topics such as NLP, machine learning, and data analytics, and provides case studies and best practices for implementing conversational AI in healthcare. •
Conversational AI Ethics and Governance: This unit addresses the ethical and governance implications of conversational AI, including data privacy, bias, and transparency. It covers topics such as regulatory frameworks, industry standards, and best practices for ensuring the responsible development and deployment of conversational AI. •
Conversational AI for Social Media Management: This unit explores the use of conversational AI in social media management, including social media monitoring, crisis management, and customer engagement. It covers topics such as chatbots, virtual assistants, and social media analytics, and provides strategies and tactics for leveraging conversational AI in social media management. •
Conversational AI for Content Creation: This unit examines the application of conversational AI in content creation, including automated writing, content generation, and content optimization. It covers topics such as NLP, machine learning, and data analytics, and provides case studies and best practices for implementing conversational AI in content creation. •
Conversational AI for Language Translation: This unit discusses the application of conversational AI in language translation, including machine translation, human translation, and language localization. It covers topics such as NLP, machine learning, and data analytics, and provides case studies and best practices for implementing conversational AI in language translation. •
Conversational AI for Voice Assistants: This unit explores the application of conversational AI in voice assistants, including Amazon Alexa, Google Assistant, and Apple Siri. It covers topics such as NLP, machine learning, and data analytics, and provides hands-on experience with popular voice assistant platforms and tools.
Career path
| **Career Role** | Description |
|---|---|
| Conversational AI Specialist | Design and implement conversational AI solutions for various industries, ensuring seamless user experiences. |
| Conversational AI Engineer | Develop and deploy conversational AI systems, focusing on scalability, reliability, and performance. |
| Conversational AI Researcher | Explore new concepts and techniques in conversational AI, driving innovation and advancements in the field. |
| Chatbot Developer | Create and maintain chatbots for various industries, ensuring effective customer engagement and support. |
| Natural Language Processing (NLP) Specialist | Develop and apply NLP techniques to analyze and generate human-like language, enhancing conversational AI systems. |
Entry requirements
- Basic understanding of the subject matter
- Proficiency in English language
- Computer and internet access
- Basic computer skills
- Dedication to complete the course
No prior formal qualifications required. Course designed for accessibility.
Course status
This course provides practical knowledge and skills for professional development. It is:
- Not accredited by a recognized body
- Not regulated by an authorized institution
- Complementary to formal qualifications
You'll receive a certificate of completion upon successfully finishing the course.
Why people choose us for their career
Loading reviews...
Frequently Asked Questions
Debug: False
Course fee
MOST POPULAR
Fast Track
GBP £149
Complete in 1 month
Accelerated Learning Path
- 3-4 hours per week
- Early certificate delivery
- Open enrollment - start anytime
Standard Mode
GBP £99
Complete in 2 months
Flexible Learning Pace
- 2-3 hours per week
- Regular certificate delivery
- Open enrollment - start anytime
What's included in both plans:
- Full course access
- Digital certificate
- Course materials
All-Inclusive Pricing • No hidden fees or additional costs
Get course information
Earn a career certificate
CERTIFIED SPECIALIST PROGRAMME IN CONVERSATIONAL AI FOR PR
is awarded to
Learner Name
who has completed a programme at
London School of Planning and Management (LSPM)
Awarded on
05 May 2025
Blockchain Id: s-1-a-2-m-3-p-4-l-5-e
Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
