Professional Certificate in AI Social Media Engagement
-- viewing nowThe AI Social Media Engagement Professional Certificate is designed for marketing professionals and social media specialists looking to leverage AI-powered tools to enhance their online engagement strategies. With this certificate, you'll learn how to use AI-driven social media analytics, create personalized content, and develop effective engagement campaigns that drive real results.
6,230+
Students enrolled
GBP £ 149
GBP £ 215
Save 44% with our special offer
About this course
Whether you're a seasoned marketer or just starting out, this certificate will equip you with the skills and knowledge needed to stay ahead of the curve in the rapidly evolving world of social media.
So why wait? Explore the AI Social Media Engagement Professional Certificate today and discover how AI can help you take your social media engagement to the next level!
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
•
Unit 1: Introduction to AI Social Media Engagement - This unit provides an overview of the role of Artificial Intelligence (AI) in social media engagement, including the benefits and challenges of using AI in social media marketing. •
Unit 2: Natural Language Processing (NLP) for Social Media - This unit focuses on the application of NLP techniques in social media, including text analysis, sentiment analysis, and language modeling. •
Unit 3: Machine Learning for Social Media Analytics - This unit explores the use of machine learning algorithms in social media analytics, including predictive modeling, clustering, and recommendation systems. •
Unit 4: AI-powered Content Creation for Social Media - This unit covers the use of AI in content creation for social media, including automated content generation, image and video editing, and personalized content recommendations. •
Unit 5: Social Media Listening and Sentiment Analysis - This unit focuses on the use of AI in social media listening, including sentiment analysis, entity extraction, and topic modeling. •
Unit 6: AI-driven Social Media Marketing Campaigns - This unit explores the use of AI in social media marketing campaigns, including campaign optimization, ad targeting, and lead generation. •
Unit 7: Influencer Identification and Collaboration - This unit covers the use of AI in identifying and collaborating with influencers on social media, including influencer profiling, reach analysis, and engagement tracking. •
Unit 8: AI-powered Social Media Customer Service - This unit focuses on the use of AI in social media customer service, including chatbots, sentiment analysis, and issue resolution. •
Unit 9: Measuring AI Social Media Engagement - This unit explores the metrics and tools used to measure AI social media engagement, including engagement rates, reach, and conversions. •
Unit 10: Ethics and Governance in AI Social Media Engagement - This unit covers the ethical considerations and governance frameworks for AI social media engagement, including data privacy, bias, and transparency.
Unit 1: Introduction to AI Social Media Engagement - This unit provides an overview of the role of Artificial Intelligence (AI) in social media engagement, including the benefits and challenges of using AI in social media marketing. •
Unit 2: Natural Language Processing (NLP) for Social Media - This unit focuses on the application of NLP techniques in social media, including text analysis, sentiment analysis, and language modeling. •
Unit 3: Machine Learning for Social Media Analytics - This unit explores the use of machine learning algorithms in social media analytics, including predictive modeling, clustering, and recommendation systems. •
Unit 4: AI-powered Content Creation for Social Media - This unit covers the use of AI in content creation for social media, including automated content generation, image and video editing, and personalized content recommendations. •
Unit 5: Social Media Listening and Sentiment Analysis - This unit focuses on the use of AI in social media listening, including sentiment analysis, entity extraction, and topic modeling. •
Unit 6: AI-driven Social Media Marketing Campaigns - This unit explores the use of AI in social media marketing campaigns, including campaign optimization, ad targeting, and lead generation. •
Unit 7: Influencer Identification and Collaboration - This unit covers the use of AI in identifying and collaborating with influencers on social media, including influencer profiling, reach analysis, and engagement tracking. •
Unit 8: AI-powered Social Media Customer Service - This unit focuses on the use of AI in social media customer service, including chatbots, sentiment analysis, and issue resolution. •
Unit 9: Measuring AI Social Media Engagement - This unit explores the metrics and tools used to measure AI social media engagement, including engagement rates, reach, and conversions. •
Unit 10: Ethics and Governance in AI Social Media Engagement - This unit covers the ethical considerations and governance frameworks for AI social media engagement, including data privacy, bias, and transparency.
Career path
AI Social Media Engagement Career Roles:
Primary Keywords: AI, Social Media, Engagement, Data Science, Digital Marketing, Business Analysis, UX Design
Job Role 1: AI Social Media Engagement Specialist
Conduct social media analytics to measure engagement and sentiment, develop and implement AI-powered social media strategies, and collaborate with cross-functional teams to drive business growth.
Job Role 2: Data Scientist - Social Media
Design and develop predictive models to analyze social media data, identify trends, and provide insights to inform business decisions, and work with data engineers to build scalable data pipelines.
Job Role 3: Digital Marketing Specialist - AI
Develop and execute AI-powered digital marketing campaigns, analyze campaign performance, and provide recommendations to improve marketing strategies, and collaborate with the sales team to drive revenue growth.
Job Role 4: Business Analyst - Social Media
Analyze social media data to identify business opportunities, develop and implement social media strategies, and collaborate with stakeholders to drive business growth, and work with data scientists to develop predictive models.
Job Role 5: UX Designer - Social Media
Design and develop user-centered social media experiences, conduct user research, and collaborate with cross-functional teams to drive business growth, and work with data scientists to develop predictive models.
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
PROFESSIONAL CERTIFICATE IN AI SOCIAL MEDIA ENGAGEMENT
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.
