Global Certificate Course in AI Technology for Social Services
-- viewing nowThe Artificial Intelligence (AI) is transforming the social services sector, and this course is designed to equip professionals with the necessary skills to harness its potential. Intended for social workers, non-profit professionals, and anyone working in the field of social services, this course aims to bridge the gap between AI technology and its application in social services.
6,030+
Students enrolled
GBP £ 149
GBP £ 215
Save 44% with our special offer
About this course
Through a series of modules, learners will gain a comprehensive understanding of AI concepts, including machine learning, natural language processing, and data analysis.
They will also learn how to design and implement AI-powered solutions to address real-world social issues, such as poverty, inequality, and healthcare.
By the end of the course, learners will be equipped with the knowledge and skills to drive positive change in their communities.
Join us on this journey and discover how Artificial Intelligence can be a powerful tool for social good. Explore the course further and start making a difference today!
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
• Introduction to Artificial Intelligence (AI) Technology for Social Services
This unit provides an overview of AI technology and its applications in social services, including the benefits and challenges of using AI in this field. • Data Science and Machine Learning for Social Impact
This unit covers the fundamentals of data science and machine learning, including data preprocessing, feature engineering, and model evaluation, with a focus on their applications in social services. • Natural Language Processing (NLP) for Social Services
This unit explores the applications of NLP in social services, including text analysis, sentiment analysis, and chatbots, with a focus on improving communication and engagement with vulnerable populations. • Human-Centered Design for AI-Powered Social Services
This unit introduces the principles of human-centered design and its application in AI-powered social services, including co-creation, empathy, and usability testing. • Ethics and Governance of AI in Social Services
This unit examines the ethical and governance implications of AI in social services, including bias, transparency, and accountability, with a focus on ensuring that AI is used in a responsible and equitable manner. • AI-Powered Mental Health Support Systems
This unit explores the applications of AI in mental health support systems, including chatbots, virtual assistants, and predictive analytics, with a focus on improving mental health outcomes. • AI-Driven Social Network Analysis for Social Services
This unit introduces the principles of social network analysis and its application in social services, including network visualization, centrality measures, and community detection. • AI-Powered Accessibility and Inclusion in Social Services
This unit examines the applications of AI in improving accessibility and inclusion in social services, including voice assistants, image recognition, and predictive analytics. • AI-Driven Policy Analysis and Evaluation for Social Services
This unit explores the applications of AI in policy analysis and evaluation, including predictive modeling, sentiment analysis, and policy simulation. • AI and Social Services: Emerging Trends and Future Directions
This unit provides an overview of emerging trends and future directions in AI and social services, including explainable AI, edge AI, and AI for social good.
This unit provides an overview of AI technology and its applications in social services, including the benefits and challenges of using AI in this field. • Data Science and Machine Learning for Social Impact
This unit covers the fundamentals of data science and machine learning, including data preprocessing, feature engineering, and model evaluation, with a focus on their applications in social services. • Natural Language Processing (NLP) for Social Services
This unit explores the applications of NLP in social services, including text analysis, sentiment analysis, and chatbots, with a focus on improving communication and engagement with vulnerable populations. • Human-Centered Design for AI-Powered Social Services
This unit introduces the principles of human-centered design and its application in AI-powered social services, including co-creation, empathy, and usability testing. • Ethics and Governance of AI in Social Services
This unit examines the ethical and governance implications of AI in social services, including bias, transparency, and accountability, with a focus on ensuring that AI is used in a responsible and equitable manner. • AI-Powered Mental Health Support Systems
This unit explores the applications of AI in mental health support systems, including chatbots, virtual assistants, and predictive analytics, with a focus on improving mental health outcomes. • AI-Driven Social Network Analysis for Social Services
This unit introduces the principles of social network analysis and its application in social services, including network visualization, centrality measures, and community detection. • AI-Powered Accessibility and Inclusion in Social Services
This unit examines the applications of AI in improving accessibility and inclusion in social services, including voice assistants, image recognition, and predictive analytics. • AI-Driven Policy Analysis and Evaluation for Social Services
This unit explores the applications of AI in policy analysis and evaluation, including predictive modeling, sentiment analysis, and policy simulation. • AI and Social Services: Emerging Trends and Future Directions
This unit provides an overview of emerging trends and future directions in AI and social services, including explainable AI, edge AI, and AI for social good.
Career path
AI Technology in Social Services: Career Roles
| Role | Description |
|---|---|
| AI/ML Engineer | Designs and develops intelligent systems that can learn and adapt to new data, applying machine learning algorithms to drive business outcomes. |
| Data Scientist | Analyzes complex data sets to identify patterns, trends, and insights that inform business decisions and drive social impact. |
| Business Intelligence Developer | Designs and implements data visualization tools and business intelligence solutions to drive data-driven decision making. |
| Cyber Security Specialist | Protects computer systems and networks from cyber threats, applying AI-powered security solutions to prevent data breaches and ensure social services are secure. |
| Robotics Engineer | Designs and develops intelligent robots that can interact with humans and other machines, applying AI and machine learning to improve social services and quality of life. |
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
GLOBAL CERTIFICATE COURSE IN AI TECHNOLOGY FOR SOCIAL SERVICES
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.
