AI5 PROFESSIONAL CERTIFICATE · BY TGC INDIA · UPDATED AUGUST 2026
AI for AML, KYC & Financial Crime Investigation
APPLIED AI FOR MODERN AML, KYC & FINANCIAL-CRIME INVESTIGATION
Learn how Generative AI, Machine Learning, anomaly detection, network analysis, RAG and AI-assisted investigation workflows are applied to KYC, transaction monitoring and financial-crime operations.
Online + OfflineWeekdays + WeekendsRegular + Fast Track
22+years in training
20,000+learners across TGC
5classroom locations
Live onlinejoin from anywhere
NEXT START OPTIONS
Choose a live batch.
COURSE OVERVIEW
What this course
is built to do.
Applied AI training for modern AML, KYC and financial-crime investigation. Learn how Generative AI, Machine Learning, anomaly detection, entity and network analysis, RAG and supervised agentic workflows support practical compliance work without turning the programme into a coding-heavy data science course.
Each module combines a live trainer demonstration, guided lab, assignment and review before the next stage.
CONNECTED CAREER DIRECTIONS
AML Analytics SpecialistKYC Risk AnalystFinancial Crime InvestigatorRegTech Operations Associate
IS THIS COURSE RIGHT FOR YOU?
Choose it for the right reason.
You work in or want to enter AML, KYC, compliance or financial-crime operations
You want applied AI methods for investigation rather than a generic AML certification
You want practical AI workflows without an advanced-coding requirement
YOUR LEARNING ARC
From guided foundation to finished work.
Foundations
Map AML/KYC work and safe AI-assistance boundaries.
Investigation
Apply AI, ML and LLM methods to customer and transaction risk.
Grounding
Use entity networks and approved regulatory sources.
Capstone
Complete a governed alert-to-STR/SAR case.
INDUSTRY TASKS
Practise the work, not only the tool.
- Assess a synthetic customer and document risk
- Prioritise suspicious transaction signals
- Investigate entities, networks and adverse media
- Prepare a reviewed investigation summary and draft STR/SAR
PRO
LED
LED
YOUR TRAINING TEAM
Learn from experienced working professionals.
Live demonstrations, guided practice and direct project feedback are part of the course. Trainers update examples and tool coverage as professional practice changes.
TRAIN A PROFESSIONAL TEAM
Run this programme around your tools and operating controls.
Private weekday, weekend and fast-track formats are available for organisations.
WHAT YOU WILL BE ABLE TO DO
Course outcomes
01
Assess KYC and customer risk with AI assistance
A source-checked customer-risk assessment with documented human review.
02
Analyse suspicious activity and connected entities
A transaction anomaly exercise and Neo4j network investigation using synthetic data.
03
Build grounded compliance research
A cited AML/KYC knowledge assistant based on approved documents.
04
Complete a governed financial-crime investigation
An end-to-end case file, draft STR/SAR and AI-governance checklist.
TAKE THE NEXT STEP
Need fees, syllabus or the right batch?
An AI5 Academy advisor can help you compare mode, schedule and starting level.
DETAILED COURSE FLOW
8 learning modules
Progress from AML/KYC foundations to customer risk, transaction monitoring, AI-assisted investigation, grounded regulatory research and a governed alert-to-STR/SAR capstone.
Week 1 — AML, KYC & AI Foundations
Map the investigation lifecycle and decide where AI may assist under human control.
CORE TOPICS
- AML, KYC, CDD and EDD workflows
- Transaction monitoring, alert investigation and STR/SAR lifecycle
- Rules-based systems, Machine Learning and anomaly detection
- Generative AI, LLMs, agents and automated workflows
- Human-in-the-loop decisions, privacy and safe AI use
GUIDED PRACTICE
Map an existing AML investigation workflow and identify suitable AI-assisted tasks.
MODULE DELIVERABLE
AI opportunity and control map
Week 2 — AI for KYC, CDD, EDD & Customer Risk
Use AI to structure customer research while verifying every material claim.
CORE TOPICS
- Customer profiling and KYC document review
- Information extraction from customer documents
- Beneficial ownership and UBO research
- PEP, sanctions and adverse-media concepts
- Risk classification, EDD summaries and hallucination control
GUIDED PRACTICE
Create an AI-assisted KYC and customer-risk assessment for a synthetic customer.
MODULE DELIVERABLE
AI-assisted KYC & customer risk assessment
Week 3 — AI & Machine Learning for Transaction Monitoring
Understand practical ML methods used to detect and prioritise suspicious activity.
CORE TOPICS
- Classification, clustering and outlier detection
- Anomaly detection, risk scoring and behaviour patterns
- Thresholds, precision and recall in AML
- False positives and alert prioritisation
- Rules versus AI monitoring; optional Colab/Python demonstration
GUIDED PRACTICE
Analyse a synthetic transaction dataset and identify suspicious or anomalous activity.
MODULE DELIVERABLE
Transaction anomaly detection exercise
Week 4 — Generative AI & LLMs for Financial Crime Investigation
Use leading LLMs to plan and document a source-led case investigation.
CORE TOPICS
- ChatGPT for AML investigations
- Claude and Gemini for document and case analysis
- AML/KYC prompt design and investigation questions
- Fact extraction, comparison, case summaries and adverse-media research
- Evidence-based responses, hallucination checks and sensitive-data controls
GUIDED PRACTICE
Conduct an AI-assisted investigation of a simulated financial-crime case.
MODULE DELIVERABLE
AI-assisted financial-crime investigation
Week 5 — Entity Resolution, Network Analysis & Hidden Relationships
Connect people, companies, accounts and counterparties to reveal suspicious patterns.
CORE TOPICS
- Entity resolution and customer/company matching
- Beneficial ownership and account connections
- Network and graph concepts
- Mule accounts, circular transactions and hidden relationships
- Neo4j and visual investigation of connected entities
GUIDED PRACTICE
Create and investigate a financial-crime relationship network using synthetic data.
MODULE DELIVERABLE
Entity & suspicious network investigation
Week 6 — RAG & AI Knowledge Systems for AML Compliance
Build a grounded compliance assistant based on approved public sources.
CORE TOPICS
- What RAG is and why grounding matters
- AML/KYC policy and regulatory-document research
- Approved sources and internal policy assistants
- Citations, verification and source control
- NotebookLM and general-versus-grounded LLM answers
GUIDED PRACTICE
Create an AML/KYC regulatory knowledge assistant using public documents and NotebookLM or a similar grounded workflow.
MODULE DELIVERABLE
AML regulatory RAG/knowledge assistant
Week 7 — AI-Assisted Investigation, STR/SAR & AI Governance
Take an alert through evidence review and controlled regulatory reporting.
CORE TOPICS
- Alert workflow, evidence collection and chronology
- Case disposition and investigation summaries
- STR/SAR drafting assistance, QA and human approval
- Explainable AI, bias and output validation
- Governance, audit trails and human-in-the-loop controls
GUIDED PRACTICE
Take a simulated alert from investigation through case summary and draft STR/SAR.
MODULE DELIVERABLE
Alert-to-STR/SAR investigation workflow
Week 8 — Agentic AML Workflows & Capstone
Coordinate an end-to-end supervised investigation without making automation the course focus.
CORE TOPICS
- KYC data, customer risk and screening
- Adverse media, transaction analysis and anomaly review
- Evidence compilation and investigation summary
- Simple n8n or similar workflow demonstration
- Human approval and AI-governance checklist
GUIDED PRACTICE
Complete a simulated case covering customer risk, transactions, network links, research, chronology, evidence, case decision and draft STR/SAR.
MODULE DELIVERABLE
End-to-end financial-crime investigation capstone
HOW THE TRAINING WORKS
Learn it. Apply it. Get it reviewed. Improve it.
Every important skill moves through explanation, demonstration, guided use and independent application. Trainer feedback is used to revise the work before it becomes part of the final portfolio.
Concept briefing
The trainer explains the principle, use case, limitations and the quality standard expected.
Live demonstration
A complete task is demonstrated while the trainer explains decisions, checks and common mistakes.
Guided lab
Learners repeat the method with support, ask questions and correct problems during the session.
Applied assignment
The same method is used on a different brief so the learner must make independent decisions.
Review and revision
Work is checked against a rubric, revised after feedback and prepared for project presentation.
PROGRESS IS CHECKED THROUGHClass exercisesModule deliverablesProject reviewsFinal capstone presentation
PORTFOLIO WORK
Projects you can show
AI-Assisted KYC & Customer Risk Assessment
Plan, produce, test and present a finished piece with trainer feedback.
Transaction Anomaly Detection Exercise
Plan, produce, test and present a finished piece with trainer feedback.
AI-Assisted Financial Crime Investigation
Plan, produce, test and present a finished piece with trainer feedback.
Entity & Suspicious Network Investigation
Plan, produce, test and present a finished piece with trainer feedback.
AML Regulatory RAG/Knowledge Assistant
Plan, produce, test and present a finished piece with trainer feedback.
Alert-to-STR/SAR Investigation Workflow
Plan, produce, test and present a finished piece with trainer feedback.
End-to-End Financial Crime Investigation Capstone
Plan, produce, test and present a finished piece with trainer feedback.
TAKE THE NEXT STEP
Need fees, syllabus or the right batch?
An AI5 Academy advisor can help you compare mode, schedule and starting level.
TOOLS COVERED
Core hands-on tools
ChatGPTNotebookLMMicrosoft ExcelPower BINeo4jGoogle Colab / Python
Python is optional technical exposure, not a prerequisite. It is used only where it helps explain practical AI and Machine Learning methods.Additional AI & industry exposure
ClaudeGeminiPerplexityNICE ActimizeSAS AMLn8n
NICE Actimize and SAS AML are presented as industry AML platform exposure. Licensed hands-on access is included only when specifically confirmed for a batch.COMMON QUESTIONS
Before you apply
Is this an AI for AML course or a general AML certification?
It is applied AI training for AML, KYC and financial-crime work. It covers AI-assisted customer risk, transaction monitoring, investigation, regulatory research and governed reporting; it does not replace a statutory or employer-required AML certification.
＋Do I need AML/KYC or Machine Learning experience?
No prior AI or Machine Learning experience is required. AML/KYC knowledge is helpful but not mandatory, and the course begins with the operating foundations.
＋Is Python required?
No advanced coding is required. Google Colab and Python appear only as optional technical demonstrations where they help explain practical AI and Machine Learning methods.
＋Will I receive licensed NICE Actimize or SAS AML access?
NICE Actimize and SAS AML are included as industry AML platform exposure. Licensed hands-on access is not promised unless it is specifically confirmed for a batch.
＋What practical work will I complete?
You will complete six guided builds covering KYC risk, transaction anomalies, investigation, entity networks, regulatory RAG and alert-to-STR/SAR work, followed by a separate end-to-end capstone.
＋Can a bank, fintech or compliance team request a private batch?
Yes. Private training can be aligned to approved policies, role levels and tools while keeping confidential data outside open classroom exercises.
＋Do I need coding experience?
No, unless the course level says otherwise. Your advisor will check the right starting level.
＋Are classes live or recorded?
Classes are trainer-led in the classroom or live online. Recordings may support revision but do not replace class.
＋Will I receive a certificate?
Yes. Course completion requires attendance, assignments and the final project.
＋Can working professionals join?
Yes. Weekday, weekend and selected fast-track schedules are available.
＋NEXT BATCH
Choose your course.
Choose your schedule.
Online or offline. Weekdays or weekends. Regular or fast track. Speak with an AI5 Academy advisor about the right starting level.