CFA Institute, USA
Passed CFA Level III
Module 1 – Prompt Engineering for Finance Workflows
Module 2 – Agentic AI in Finance Operations
Module 3 – AI-Driven Risk Management
Module 4 – AI in Fraud Detection, AML, and Compliance
Module 5 – AI in Quantitative Finance and Markets
Module 6 – AI Regulation and Governance Frameworks
Module 7 – AI in the CFO Office
Every module built around IB, ER, FP&A, Credit, Risk, Compliance
Generic business or tech use cases
Taught with source validation, documented assumptions, uncertainty flags
Basic prompting, no audit layer
Hands-on with approval checkpoints and escalation paths
Usually a single demo or slide
Runs through all 7 modules, from Module 1
Optional add-on or one lecture
Mandatory, portfolio-ready, finance-grade output
Participation certificate or quiz
CFA and CTO practitioners from the finance industry
Generic AI trainers
Available via Investment Banking Course
Online-only or no finance track
₹6 – ₹14 LPA
₹7 - ₹16 LPA
₹8 - ₹18 LPA
₹16 - ₹15 LPA
₹12 - ₹28 LPA



Finance educators and professionals across India completed the NIFDA 2025 Faculty Development Programme on AI in Finance, conducted by Amquest Education.
Instructional design and pedagogical innovation in AI education
Performance frameworks that drive both learning and impact
Academic leadership in AI-integrated programme delivery

AI in financial forecasting and automation
Risk assessment and intelligent financial systems
Frameworks to bring AI concepts into teaching and research

Advanced instructional approaches for AI-integrated finance topics
Industry alignment and curriculum design for AI in finance
Practical peer learning through interactive sessions

AI applications in investment analysis and financial markets
Data-driven decision-making frameworks in practice
How AI is reshaping the role of finance educators

From custom study plans to AI-backed progress reports, everything is designed around your success.
I’m excited to share that I’ve officially started my CFA journey, and I couldn’t have asked for a better partner than Amquest Education to guide me.
Looking back at my time with Amquest Education CFA Level I online course, I realise how much those months shaped my approach to finance and to learning itself.
The program was well-organized, and the team was responsive throughout the preparation phase. Appreciate the guidance and support.
After looking into various options, I found that the online CFA Level 1 course at Amquest offers exactly the kind of structured study plan and disciplined.
The regular practice questions, mock exams, and constant guidance keep you accountable. It doesn’t feel like you’re preparing alone, there’s proper mentorship and support throughout.
A practical course on applying Generative AI and Agentic AI across real finance workflows, from equity research and FP&A to risk, compliance, and CFO-level decisions, with governance and audit-proof prompting built in throughout.
No. This is not a coding course. You will work with AI tools and prompting frameworks, all of which are taught from scratch in a finance context.
Finance students, working professionals across IB, ER, FP&A, Risk, Credit, and Compliance, and finance leaders who want to deploy AI responsibly in their teams
1.5 months, weekend batches, 30 hours of live online training.
Live online only. If you want classroom training, this module is part of the Amquest Investment Banking Course, which covers AI for Finance in a classroom setting alongside full IB content.
The course covers LLM-based prompting, agentic workflow design, risk modeling support, and governance documentation, applied through tools like Claude, Perplexity, and others used in real finance workflows.
Rs. 40,000. Two EMI options are available to split the payment.
No. The fee covers training, materials, and certification. All costs are disclosed upfront.
An industry-recognised AI for finance certification on successful completion of all modules and the mandatory capstone project.
For students, yes. You graduate with a portfolio-ready capstone and role-specific deliverables that go into interviews. For working professionals, the deliverables are designed to be applied directly in your current role, saving time and adding real accountability to your AI usage.
The quant module covers where AI realistically helps in markets and where it does not, including overfitting, backtest bias, and data leakage. Trading bots and speculative strategies are not part of this course.
Yes. Module 2 covers agentic workflows with approval checkpoints, escalation paths, and human-in-the-loop design. The focus is on controlled, auditable execution, not experimentation.
Yes. Modules 4 and 6 are dedicated to AML/Compliance and AI Regulation and Governance respectively. Audit trails, documentation frameworks, and regulatory alignment are covered in detail.