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Artificial Intelligence in - Banking & Finance

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Objectives

The course focuses on AI applications in financial operations, including credit scoring, fraud detection, compliance automation, and predictive analytics. Emphasis is on leveraging AI to enhance accuracy, accelerate decision-making, and strengthen risk management while maintaining regulatory alignment. Additionally, it highlights how AI can drive strategic insights, improve customer experience, and optimize operational processes within banking and finance ecosystems.



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Course Outcome

Build and validate AI-driven credit scoring models with practical machine learning techniques.
Detect and prevent financial fraud using advanced AI-powered transaction monitoring.
Automate regulatory compliance processes with natural language processing applications.
Interpret AI model outcomes clearly to support internal and external audits.
Design scalable AI systems that comply with stringent banking regulations.
Integrate AI systems securely and ethically within banking infrastructures.
Evaluate business impact and risk to drive AI adoption in financial environments.

Why Mazenet?


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    Expert Faculty

    Our Faculty comprises of 300+ SMEs with many years of experience. All our trainers possess a minimum of 8+ years of experience.

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    Proven Track Record

    We have served over 200+ global corporate clients, consistently maintaining a 99% success rate in meeting training objectives for 300+ technologies with quick turnaround time.

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    Blended Learning

    We provide course content over any platform that our clients prefer. You can choose an exclusive platform or a combination of ILT, VILT, and DLP.

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    Learning Paths

    The learning paths are very defined with clear benchmarks. Quantitative assessments at regular intervals measure the success of the learning program.

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    Case Study

    We have amassed over 10,000 case studies to support training delivery. Candidates will be trained to work on any real-time business vertical immediately after the training.

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    24*7 Global Availability

    We are equipped to conduct training on any day, date or time. We have delivered training pan India, Singapore, North America, Hong Kong, Egypt and Australia.

Delivery Highlights

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    Customized Training Modules

    Training programs are highly flexible with module customizations to suit the requirements of the business units.

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    Certification

    The training can be supplemented with appropriate certifications that are recognized across the industry.

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    Multi-language Support

    Course content can be delivered in English, Spanish, Japanese, Korean or any other language upon request.

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    Personalized Training Reports

    Candidates are assessed individually at regular intervals and are provided unique learning suggestions to suit their learning calibre.

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    Industry-Oriented Training

    Industry-oriented training, completing which, candidates can be immediately deployed for billable projects.

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    Diverse Training Platforms

    Choose from Instructor-Led Training, Virtual Instructor-Led Training, Digital Learning Platform and Blended Training platforms

Contact Us
Ready to get started?
Let's chat.
info@mazenetsolution.com +91 9500929297
          +91 7397723052
Get In Touch With Us


Get Started Today

Course Preview

  • Explore AI applications across retail, corporate, and investment banking.
  • Understand AI’s role in financial services transformation.
  • Learn about ML, NLP, and anomaly detection in BFSI.
  • Review regulatory and ethical considerations in finance.

  • Compare traditional and AI-based credit risk assessment approaches.
  • Perform feature engineering with transactional and alternative data.
  • Build models using logistic regression, decision trees, and XGBoost.
  • Address fairness and bias in credit scoring.
  • Tools: scikit-learn, LightGBM, SHAP.
  • Hands-on: create a credit risk model with anonymized datasets.

  • Identify types of financial fraud such as card fraud and phishing.
  • Apply supervised and unsupervised anomaly detection models.
  • Explore deep learning for detecting transaction patterns.
  • Develop real-time fraud prevention systems.
  • Tools: TensorFlow, AWS Fraud Detector, PyOD.
  • Hands-on: detect fraudulent transactions via clustering and neural networks.

  • Use NLP for regulatory compliance and KYC automation.
  • Extract information from contracts and policy documents.
  • Analyze sentiment and tone in customer communications.
  • Tools: spaCy, Hugging Face Transformers, AWS Comprehend.
  • Hands-on: build document parsers and entity extractors for compliance.

  • Use tools like LIME, SHAP, and model cards for explainability.
  • Audit models for fairness and transparency.
  • Comply with financial regulations including GDPR, RBI, and Basel.
  • Manage model governance and lifecycle tracking.

  • Study AI applications in credit underwriting, AML, and robo-advisory.
  • Understand deployment frameworks across on-premise, cloud, and hybrid environments.
  • Create AI adoption roadmaps for BFSI institutions.

  • Build an end-to-end AI pipeline for credit, fraud, or compliance use cases.
  • Evaluate business impact, risk, and compliance readiness.
  • Present model performance and explainability insights.