Certified Specialist Programme in AI Regulated Markets
-- viewing nowThe Artificial Intelligence in Regulated Markets (AIRM) programme is designed for financial professionals seeking to understand the applications and implications of AI in regulated markets. Developed by the Chartered Institute for Securities & Investment (CISI), this programme caters to the needs of regulatory professionals, compliance officers, and financial analysts who want to stay ahead in the AI-driven market landscape.
5,184+
Students enrolled
GBP £ 149
GBP £ 215
Save 44% with our special offer
About this course
Through a series of modules, learners will gain insights into AI-powered tools, their benefits, and challenges, as well as how to implement them effectively in regulated markets.
By the end of the programme, learners will be equipped to assess AI risks and develop AI-driven strategies that align with regulatory requirements.
Explore the AIRM programme today and discover how AI can transform your career in regulated markets.
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
•
Machine Learning for Regulatory Compliance: This unit focuses on the application of machine learning techniques in regulated markets, including data preprocessing, model training, and validation, to ensure compliance with relevant regulations such as AML and KYC. •
AI and Data Analytics in Risk Management: This unit explores the use of artificial intelligence and data analytics in risk management, including predictive modeling, risk scoring, and portfolio optimization, to identify and mitigate potential risks in regulated markets. •
Natural Language Processing for Text Analysis: This unit covers the application of natural language processing techniques in text analysis, including sentiment analysis, entity extraction, and topic modeling, to extract insights from unstructured data in regulated markets. •
Computer Vision for Image Analysis: This unit focuses on the application of computer vision techniques in image analysis, including object detection, image classification, and image segmentation, to extract insights from visual data in regulated markets. •
AI and Blockchain in Financial Services: This unit explores the intersection of artificial intelligence and blockchain technology in financial services, including smart contracts, decentralized applications, and cryptocurrency trading, to provide secure and efficient transactions in regulated markets. •
Regulatory Frameworks for AI and Machine Learning: This unit covers the regulatory frameworks governing the use of artificial intelligence and machine learning in regulated markets, including data protection, privacy, and anti-money laundering regulations. •
AI-Powered Trading Strategies: This unit focuses on the development of AI-powered trading strategies, including algorithmic trading, high-frequency trading, and predictive modeling, to optimize trading decisions in regulated markets. •
Ethics and Governance in AI-Driven Decision Making: This unit explores the ethical and governance implications of AI-driven decision making in regulated markets, including bias detection, transparency, and accountability. •
AI and Cybersecurity in Financial Services: This unit covers the application of artificial intelligence and machine learning in cybersecurity, including threat detection, incident response, and predictive analytics, to protect regulated markets from cyber threats. •
AI-Driven Customer Experience in Financial Services: This unit focuses on the use of artificial intelligence and machine learning to enhance customer experience in regulated markets, including chatbots, sentiment analysis, and personalized recommendations.
Machine Learning for Regulatory Compliance: This unit focuses on the application of machine learning techniques in regulated markets, including data preprocessing, model training, and validation, to ensure compliance with relevant regulations such as AML and KYC. •
AI and Data Analytics in Risk Management: This unit explores the use of artificial intelligence and data analytics in risk management, including predictive modeling, risk scoring, and portfolio optimization, to identify and mitigate potential risks in regulated markets. •
Natural Language Processing for Text Analysis: This unit covers the application of natural language processing techniques in text analysis, including sentiment analysis, entity extraction, and topic modeling, to extract insights from unstructured data in regulated markets. •
Computer Vision for Image Analysis: This unit focuses on the application of computer vision techniques in image analysis, including object detection, image classification, and image segmentation, to extract insights from visual data in regulated markets. •
AI and Blockchain in Financial Services: This unit explores the intersection of artificial intelligence and blockchain technology in financial services, including smart contracts, decentralized applications, and cryptocurrency trading, to provide secure and efficient transactions in regulated markets. •
Regulatory Frameworks for AI and Machine Learning: This unit covers the regulatory frameworks governing the use of artificial intelligence and machine learning in regulated markets, including data protection, privacy, and anti-money laundering regulations. •
AI-Powered Trading Strategies: This unit focuses on the development of AI-powered trading strategies, including algorithmic trading, high-frequency trading, and predictive modeling, to optimize trading decisions in regulated markets. •
Ethics and Governance in AI-Driven Decision Making: This unit explores the ethical and governance implications of AI-driven decision making in regulated markets, including bias detection, transparency, and accountability. •
AI and Cybersecurity in Financial Services: This unit covers the application of artificial intelligence and machine learning in cybersecurity, including threat detection, incident response, and predictive analytics, to protect regulated markets from cyber threats. •
AI-Driven Customer Experience in Financial Services: This unit focuses on the use of artificial intelligence and machine learning to enhance customer experience in regulated markets, including chatbots, sentiment analysis, and personalized recommendations.
Career path
AI Job Market Trends in the UK
| **Role** | **Description** |
|---|---|
| **AI/ML Engineer** | Design and develop intelligent systems that can learn and adapt to new data, using machine learning algorithms and programming languages like Python and R. |
| **Data Scientist (AI Focus)** | Extract insights and knowledge from large datasets using various machine learning algorithms, statistical models, and programming languages like R and Python. |
| **Business Intelligence Developer (AI)** | Design and develop data visualizations and business intelligence solutions using tools like Tableau, Power BI, and Python libraries like Pandas and NumPy. |
| **AI Research Scientist** | Conduct research and development in artificial intelligence and machine learning, publishing papers and presenting findings at conferences and workshops. |
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 AI REGULATED MARKETS
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.
