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Tools you'll actually work in
Anyone can watch an AI tutorial. Very few can open a laptop and show a working AI agent they built. You'll be one of the few who can.
Agents, automations and projects you built yourself — real work you can show in an interview, at your job, or on your résumé. Not just a line that says "familiar with AI."
Sessions are real corporate use cases, the exact material 4,500+ working professionals train on. You learn AI the way it's used in companies, not in theory.
40 hours, one session a week — structured to fit beside your studies, your job, or your job search. Recordings available after the session.
No experience needed — starts from AI basics and builds up. These tracks need zero coding. You don't need a tech background to build something real.
You've seen the ads.
We don't say any of that. Because none of it is how hiring actually works.
Here's what we do instead:
We train you on what companies are actually building right now. The same corporate use cases 4,500+ professionals have trained on.
And you walk out with working agents you can open on a laptop — in an interview, at work, wherever you need to prove it — and say “I built this.”
That's it. No guarantees we can't keep. Just work you can show.
Each is a complete 40-hour programme with a capstone, taught by practitioners working in that function.
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Module-by-module · 40 hours
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Voices from educators
Need more of such programmes — for example use of AI in class assessment.
Excellent. Will love to learn more with my students. See you with more sessions further.
It was an excellent session with more practical knowledge.
It was good. The resource person explained the concept, promoting requirements, accessing data & proper usage of AI.
It was a very insightful session. Will like to attend such sessions more in future.
Very nice explanation by the instructor on the use & application.
The session was really good. Need more sessions like this.
My overall experience with the NIFDA session was very positive & enriching.
Session was informative. We would love to have you at our campus.
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Same course companies and professionals take — offered at ₹699 under our Ghar Ghar AI, Har Ghar AI initiative so practical AI skills stay within reach.
This is the full fee for the 40-hour programme. No registration fee. No later instalment.
Same curriculum. Same practitioners.
Same 40 hours.
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Issued for the same programme companies pay for. QR-authenticated. Yours when you finish.
No. ₹699 is the complete fee for the full 40-hour programme of your selected domain. There is no additional course fee after this.
₹699 is our Ghar Ghar AI, Har Ghar AI offer: the same curriculum companies and professionals train on, priced so anyone in any home can start building with AI.
Amquest Education offers four function-specific AI training programmes:
Each programme focuses on the AI tools, workflows and business applications relevant to that specific function.
The programmes are suitable for students, working professionals, analysts, individual contributors, managers, team leaders and senior professionals who want to use AI in their domain.
Participants should select the programme that matches their current role or intended career path. The training can support learners at different levels of seniority.
No. The programmes begin with AI literacy, effective prompting, responsible usage and output validation before progressing to advanced applications.
For AI for IT Teams, basic familiarity with programming, APIs or software development will be beneficial.
Coding is not required for AI for Finance, AI for Marketing & Sales, or AI for HR & Operations.
AI for IT Teams is developer-led and includes Python, APIs, RAG systems and application development. Participants selecting this programme should have basic technical knowledge.
The training is strongly practical. Participants work directly with AI tools and create workflows, reports, automations, assistants or applications during the programme.
The focus is not on watching presentations about AI. Participants are expected to build usable outputs during the sessions.
Depending on the selected programme, learners may work with tools such as Claude, ChatGPT, Microsoft Copilot, Gemini, Perplexity, NotebookLM, Excel, Google Sheets, Zapier, Make, n8n, Power BI, Canva, Google AI Studio, OpenAI API, Python, Google Colab, LangChain and Chroma.
The exact tool stack may be adjusted based on the programme and learning requirements.
Prompting is only one part of the training.
The programmes also cover document intelligence, workflow automation, data analysis, reconciliation, dashboards, AI agents, reporting, decision support, RAG systems, tool calling and output evaluation, depending on the domain selected.
Yes. Every programme includes practical outputs or a capstone project.
Depending on the programme, participants may build reconciliation agents, campaign reports, recruiter copilots, HR dashboards, RAG assistants, AI agents or working AI applications.
Yes. Freshers from any academic or professional background can join these programmes. They can select the domain or track that best aligns with their interests and career goals.
Yes. The programmes are designed around real workplace activities such as reporting, analysis, hiring, campaign management, lead qualification, document processing, application development and workflow automation.
Generic AI courses usually teach tools without connecting them to a job role.
These programmes are organised by function and focus on the actual tasks performed by finance, marketing, sales, HR, operations and IT professionals. The training is mapped to real workflows instead of generic demonstrations.
Yes. The programmes address prompting, output verification, hallucination control, human review and responsible AI usage.
Participants learn that AI-generated results must be checked before being used for financial, marketing, HR, operational or technical decisions.
Yes. Data safety, responsible usage, compliance, bias control, security and governance are included where relevant.
Participants also learn what information should not be uploaded to public AI platforms and how human review should remain part of important workflows.
Yes. Automation is included across the programmes, but the use cases differ by domain.
Finance learners may automate reconciliation or reporting. Marketing learners may automate campaign monitoring or lead follow-ups. HR learners may build document and recruitment workflows. IT learners may create tool-calling and agentic workflows.
Participants may receive structured prompts, workflow frameworks, checklists, resources and reusable approaches based on the selected programme.
The objective is not to make learners dependent on fixed prompts. Participants are trained to build and adapt prompts for new requirements.
Yes. The training is delivered online, with one session every week for six months. Assignments will be provided after each session for practice and practical application.
The next cohort begins in September. The exact start date will be confirmed and shared with enrolled students.
Each domain or track includes 40 hours of training, delivered over a period of six months.
Yes. Recordings available after the session.
Yes. A certificate will be provided after successfully completing the selected domain or track programme.
The programme can strengthen your practical skills, portfolio and ability to demonstrate AI applications relevant to your domain.
Yes, provided you actively apply the workflows taught during the programme.
The training is designed to help participants complete domain-specific tasks faster, improve output quality, reduce repetitive work and build more structured decision-support workflows.
Everyone will have an AI certificate. What you can show when asked is the only thing that separates you.
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Full curriculum
Practical AI Workflow Automation for Finance Teams
After completing this program, you will be able to:
| Module | Module Name | Sessions | Hours |
|---|---|---|---|
| Module 1 | AI Literacy, Finance Judgment & Data Safety | 2 | 3 hrs |
| Module 2 | Finance-Grade Prompting & Hallucination Control | 2 | 3 hrs |
| Module 3 | OCR, Document AI & Finance Data Intake Automation | 4 | 6 hrs |
| Module 4 | Finance Document Intelligence, RAG & Decision Support Agents | 3 | 4.5 hrs |
| Module 5 | Reconciliation, Controls & Exception Automation | 5 | 7.5 hrs |
| Module 6 | Compliance Automation Module | 2 | 3 hrs |
| Module 7 | Month-End, MIS, FP&A & Management Commentary Automation | 5 | 7.5 hrs |
| Module 8 | APIs for Finance at Scale - A Primer for Non-Technical Users | 2 | 3 hrs |
| Module 9 | Agentic Finance Workflow Studio & Capstone | 2 | 3 hrs |
Build clarity on how AI should and should not be used inside finance teams.
Convert casual AI usage into finance-grade, auditable AI output generation.
Reduce manual effort in document reading, data extraction, structuring, and exception identification.
Move finance teams from manual checking to exception-led review.
Use AI to support compliance review, notice reading, circular interpretation, pre-filing checks, action tracking, and response drafting.
Use AI to improve month-end close, MIS preparation, FP&A variance analysis, and management-level commentary.
Manual copy-paste works for one document; APIs are how the same analysis scales to 50 companies.
| Level | How Data Reaches Your Workflow |
|---|---|
| 1. Manual | You copy-paste or download. Works for one-off tasks. |
| 2. Connector (No-Code) | Zapier / Make.com pulls data automatically on a schedule. No coding. |
| 3. API-Native | Data flows directly via an API. Technical team sets it up; finance professional designs the workflow logic. |
Participants build one complete controlled finance AI workflow using the agents, controls, and automation methods learned throughout the program.
Participants choose one:
People Intelligence, Workflow Automation & Decision Support
By the end of this program, you will be able to:
| Module | Module Name | Sessions | Hours |
|---|---|---|---|
| Module 1 | AI Literacy, HR Judgment & People Data Safety | 2 | 3 hrs |
| Module 2 | HR Document Intelligence & Workflow Intake | 4 | 6 hrs |
| Module 3 | Hiring Intelligence & Recruiter Copilot Workflows | 5 | 7.5 hrs |
| Module 4 | Employee Engagement, Feedback & Sentiment Insights | 4 | 6 hrs |
| Module 5 | Retention, Attrition & Workforce Risk Analysis | 4 | 6 hrs |
| Module 6 | HR Operations, Policy Support & Employee Query Workflows | 4 | 6 hrs |
| Module 7 | HR Compliance, Bias Control & Audit-Ready Documentation | 2 | 3 hrs |
| Module 8 | Capstone: AI-Powered HR Workflow Project | 2 | 3 hrs |
Build clarity on how AI should and should not be used in HR.
Use AI to read, summarise, structure, and review HR documents faster and more consistently.
Improve hiring speed, candidate evaluation consistency, recruiter productivity, and hiring funnel visibility using AI.
Use AI to analyse employee feedback, identify engagement themes, and convert insights into manager action recommendations.
Help HR teams identify attrition patterns, risk segments, and retention actions using AI-assisted analysis.
Use AI to improve recurring HR operations, employee support, policy communication, and internal HR response quality.
Help HR teams use AI responsibly while maintaining compliance, fairness, documentation quality, and audit-readiness.
Participants build one practical AI-powered HR workflow using sample HR data, documents, or scenarios.
Participants choose one:
Building AI-Enabled Applications, RAG Systems & Controlled Agentic Workflows
By the end of this program, you will be able to:
| Module | Module Name | Sessions | Hours |
|---|---|---|---|
| Module 1 | LLM Fundamentals, Model Selection & Multimodal AI | 3 | 4.5 hrs |
| Module 2 | Building AI Features with Prompts, OpenAI API & Structured Outputs | 4 | 6 hrs |
| Module 3 | Tool Calling, Function Execution & Workflow Automation | 3 | 4.5 hrs |
| Module 4 | RAG Systems & Internal Knowledge Assistants | 5 | 7.5 hrs |
| Module 5 | Controlled Agentic AI Workflows | 4 | 6 hrs |
| Module 6 | PromptOps, LLM Testing & Evaluation | 3 | 4.5 hrs |
| Module 7 | Security, Cost, Monitoring & Deployment Readiness | 2 | 3 hrs |
| Module 8 | Capstone: AI Application or Agentic Workflow | 3 | 4.5 hrs |
Give IT teams the technical foundation required to build reliable AI-enabled applications without going into model training.
Move participants from one-time prompting to reusable AI features inside applications.
Teach participants how to make AI systems perform controlled actions through tools, APIs, and functions instead of only generating text.
Teach participants how to connect AI with real documents, internal data, and knowledge bases to build accurate, source-backed systems.
Teach participants how to design AI agents that can plan, use tools, take actions, and remain controlled.
Teach participants how to manage, test, and evaluate AI systems so they do not break silently in production.
Prepare participants to think beyond demos and build AI applications that are safer, cost-aware, and implementation-ready.
Participants build one demo-ready AI application or controlled agentic workflow.
Participants will choose one of the following approved tracks:
Growth Intelligence, Creative Automation & Revenue Workflows
By the end of this program, you will be able to:
| Module | Module Name | Sessions | Hours |
|---|---|---|---|
| Module 1 | AI Toolkit & Growth Use-Case Mapping | 2 | 3 hrs |
| Module 2 | Creative Campaign Automation | 3 | 4.5 hrs |
| Module 3 | Marketing Intelligence: SEO, GSC, GA4 & Website Data | 5 | 7.5 hrs |
| Module 4 | Meta Ads Intelligence & Paid Campaign Optimization | 3 | 4.5 hrs |
| Module 5 | Marketing Capstone: Integrated Campaign & Reporting | 1 | 1.5 hrs |
| Module 6 | AI for Sales Foundation & CRM-Agnostic Data Setup | 1 | 1.5 hrs |
| Module 7 | Prospecting & Account Research (B2B & B2C) | 1 | 1.5 hrs |
| Module 8 | Outreach, Sequencing & Sales Content | 2 | 3 hrs |
| Module 9 | Lead Qualification, Scoring & Follow-Up Workflows | 2 | 3 hrs |
| Module 10 | Conversation Intelligence & Call Gap Analysis | 2 | 3 hrs |
| Module 11 | Sales Analytics, Forecasting & Planning | 3 | 4.5 hrs |
| Module 12 | Sales Coaching & Onboarding Engine | 1 | 1.5 hrs |
| Module 13 | Sales Capstone: AI Sales Workflow Project | 1 | 1.5 hrs |
Build clarity on how AI, using Claude, can support marketing and sales teams across acquisition, conversion, retention and revenue growth. This module is the shared foundation for both the Marketing and Sales tracks.
Use AI to create fast, consistent and brand-aligned campaign assets across content, ads, email, video, social media and landing pages.
Build one marketing intelligence workflow that turns Google Search Console, GA4, website and funnel data into clear, prioritized growth actions. (Combines the previous SEO/GSC and GA4/Website modules into a single, deeper module.)
Use AI to review paid campaign performance and recommend practical optimization actions. Claude analyses and recommends; a human applies the changes in Ads Manager.
Consolidate the marketing modules into one portfolio-ready, AI-powered marketing workflow using the participant's own or sample data.
Set up how Claude works with any sales stack, so no attendee is blocked by their CRM. Establish the CSV/xlsx export-import workflow (works with any CRM), optional live connectors, and a reusable product and ICP knowledge base.
Use AI to research accounts and segments and turn them into targeted, prioritized outreach lists for both B2B and B2C selling.
Draft personalized, multi-touch outreach and sales content, with a human approval step before anything is sent.
Use AI to qualify leads, score and classify them, and design follow-up and nurture workflows that improve conversion.
Turn sales call transcripts into summaries, insights and coaching, and spot gaps against ideal handling. Requires recorded and transcribed calls (Zoom, Fireflies, Gong, Teams).
Use AI to turn sales and pipeline data into forecasts, plans and revenue decisions. All work is conversational and no-code; it is AI-assisted analysis and forecasting, not machine-learning modelling.
Build a repeatable AI role-play and scoring engine that trains and onboards sales reps on real edge cases. Delivered as a working template; the organization extends it later with its own scenarios.
Consolidate the sales modules into one portfolio-ready, AI-powered sales workflow using business, pipeline, lead or call data.