Not a course about AI. A career programme in which AI is how the work gets done.
Two specialisations, three durations. Every programme ends with real industry work - a mentored live project, an internship or a placement - so you walk into interviews with proof, not promises.
Two specialisations. Two phases. One career outcome.
Choose from two career-focused specialisations, AI-Integrated Finance and AI-Enabled Sales & Marketing, each offered as a 90-day, 6-month or 1-year programme. Every programme runs in two phases, with the full structure of each set out below.
Jump to a programme
Intensive, hands-on training at TSL Business School: AI productivity tools, agentic automation and role-based career tracks mapped to the jobs recruiters hire for.
A mentored live project, an industry internship or a placement, building AI solutions for the job roles you target so you finish with proof, not promises.
AI-Integrated Finance
90-Day, 6-Month and 1-Year Programmes
Finance is among the functions being reshaped fastest by AI. Banks, NBFCs, fintechs, audit and consulting firms are automating reconciliations, invoice processing, KYC and fraud checks, credit assessment and management reporting, and they are hiring freshers who can run, check and improve these AI-driven workflows. The AI-Integrated Finance programmes prepare you for exactly that job: sound finance foundations, hands-on AI tools, agentic automation and SAP exposure, applied to the roles recruiters are filling right now, from KYC/AML and Credit Analyst to FP&A Analyst, Financial Analyst and Equity Research Associate.
Finance freshers who can work with AI agents are not the future of the industry. They are what the industry is hiring today.
Programme Structure at a Glance
| Component | 90-Day | 6-Month | 1-Year |
|---|---|---|---|
| Name | Professional Certificate in AI for Finance | Advanced Professional Certificate in AI-Integrated Finance | Professional Mastery Certification in AI-Integrated Finance & Agentic Automation |
| Programme structure | Phase 1: 45 days of training (120 contact hours, 24 teaching days). Phase 2: 45-day industry-mentored live project | Phase 1: 3 months of training (300 contact hours, 60 teaching days). Phase 2: 3-month industry internship / placement + agent-build project | Phase 1: 6 months of training (650 contact hours, 130 teaching days). Phase 2: 6-month internship with industry / placement / working with and creating AI agents |
| Programme fee | ₹1,00,000 + 18% GST (₹1,18,000 total) | ₹3,00,000 + 18% GST (₹3,54,000 total) | ₹5,00,000 + 18% GST (₹5,90,000 total) |
| Upgrade option | Upgrade to the 6-month or 1-year programme within 30 days and your fee is adjusted | Upgrade to the 1-year programme within 30 days and your fee is adjusted | - |
| Phase 1 (training) duration | 45 days | 03 months | 06 months |
| AI Productivity Toolkit (Claude/Grok) | 30 h | 45 h | 60 h |
| Agentic AI: Workflow Automation (using existing AI agents) | 2 h review: how AI agents automate finance tasks | 20 h | 50 h |
| Super-Agentic AI Lab (students build their own agents by combining multiple agentic AIs) | 6 h: agent-building basics; full agent building continues in Phase 2 | 30 h: a multi-agent workflow, e.g. invoice → reconciliation → report | 60 h: a portfolio of agents, including a research agent used in Phase 2 |
| Responsible AI, Ethics & Governance in Finance | 4 h: checking AI output for errors, data privacy, responsible use at work | 10 h: + bias, human review of AI decisions, India's data protection law (DPDP Act), SEBI's AI-disclosure rules | 20 h: + AI governance frameworks, model risk, audit trails for AI agents, RBI guidance on responsible AI, case studies of AI failures in finance |
| Role-Based Career Tracks: AI-Integrated Expertise for Top Fresher Job Profiles[3] | 45 h: preparing for roles like KYC Analyst, Bank Reconciliation Analyst, Accounts Payable / Invoice Processing Associate, Junior Credit Analyst, Junior FP&A Analyst. Includes Financial Planning & Analysis with AI productivity tools: budgeting, variance analysis, MIS reporting, dashboards | 130 h: preparing for roles like KYC / AML Analyst, Fraud Detection Analyst, Credit Analyst, Bank Reconciliation Analyst, Record-to-Report / Procure-to-Pay Analyst, Financial Analyst, FP&A Analyst, Equity Research Associate, Wealth Management Associate. Includes Financial Planning & Analysis with AI productivity tools: budgeting, forecasting, variance analysis, cost analysis, MIS reporting, dashboards. Includes SAP understanding for finance roles | 340 h: preparing for roles like KYC / AML Analyst, Fraud Detection Analyst, Risk Management Analyst, Credit Analyst / Underwriter, Bank Reconciliation Analyst, Record-to-Report / Procure-to-Pay / Order-to-Cash Analyst, Financial Analyst, FP&A Analyst, Valuation Analyst, Equity Research Associate, Accounting Advisory Associate, Audit Associate, Tax & GST Analyst, Wealth Management Associate, Financial Planning Associate. Includes Financial Planning & Analysis with AI productivity tools: budgeting, rolling forecasts, variance analysis, cost & profitability analysis, scenario planning, MIS & management reporting, dashboards. Includes SAP S/4HANA hands-on for finance roles (45 h) |
| Business Foundation Knowledge for Context-Rich AI Prompting & Better Decisions | 18 h: fundamental business and finance concepts that help students give AI the right context and judge its answers | 30 h: fundamental concepts + interview Q&A per subject | 55 h: fundamental concepts + conceptual models & theories |
| Aptitude & Placement-Test Preparation[2] | 5 h review session | 20 h | 30 h |
| Interview Readiness & Business Communication | 10 h: ATS-compliant CV, LinkedIn profile, Phase 2 project briefing, 2 AI mock interviews | 15 h: role-specific ATS-compliant CV, LinkedIn, on-demand AI mock interviews (at least 5, more as needed) | 35 h: role-specific ATS-compliant CV, LinkedIn, business writing, GD/PI, corporate etiquette, on-demand AI mock interviews (at least 10, more as needed) + panel mock interviews |
| Certifications[4] | Agentic AI in Finance certification | Agentic AI in Finance certification, NISM certification matched to the job role, SAP for finance roles | Agentic AI in Finance certification, NISM certifications matched to the job roles, SAP for finance roles |
| Total contact hours (Phase 1) | 120 | 300 | 650 |
| Phase 2 | 45 days: Industry-Mentored Live Project. Students build AI agents for typical fresher finance tasks (reconciliation, invoice processing, KYC checks, credit notes, MIS reports), with weekly industry-mentor reviews | 3 months: Industry Internship / Placement (up to 3 interview opportunities) + Agent-Build Project (40 mentored hours): students build agents for the tasks a fresher performs in the job roles above | 6 months: Internship with Industry / Placement / Working with & Creating AI Agents (up to 5 interview opportunities), including: Research-Based Agent Solutions Project (40 mentored hours): agents that research and solve a real business problem, presented to an industry panel. Job-Role Agent Building (40 mentored hours): agents for the tasks performed in the job roles above |
Students in all three programmes take part throughout in CEO Talks, Master Classes by global leaders and Fireside Chats with industry experts, in addition to the contact hours above.
Aptitude and placement-test practice runs on AI-adaptive test platforms that adjust difficulty to each student's level.
Job roles may change with job market conditions, and the Role-Based Career Tracks will be updated to match.
Certifications may change based on job market requirements. The Agentic AI certification will be delivered with a knowledge partner to be finalised.
Target Job Roles
The longer the programme, the wider the range of roles - and the deeper the expertise - you are prepared for.
Swipe the table sideways to see all durations
| Job family | Target job roles | 90-Day | 6-Month | 1-Year |
|---|---|---|---|---|
| KYC, AML & Fraud | KYC Analyst, AML Analyst, Fraud Detection Analyst | |||
| Credit & Risk | Junior Credit Analyst, Credit Analyst / Underwriter, Risk Management Analyst | |||
| Finance & Accounting Operations | Bank Reconciliation Analyst, Accounts Payable / Invoice Processing Associate, Record-to-Report / Procure-to-Pay / Order-to-Cash Analyst | |||
| FP&A & Financial Analysis | Junior FP&A Analyst, FP&A Analyst, Financial Analyst | |||
| Equity Research & Valuation | Equity Research Associate, Valuation Analyst | |||
| Wealth & Financial Planning | Wealth Management Associate, Financial Planning Associate | |||
| Audit, Tax & Advisory | Audit Associate, Tax & GST Analyst, Accounting Advisory Associate |
Salary packages grow with skills. Every programme prepares students for rewarding, fast-growing careers. The salary package (CTC) a student earns grows with the depth of skills built: the 6-Month and 1-Year programmes develop more advanced, AI-integrated expertise, preparing students for a wider range of roles and higher-value positions. The final role and package are offered by the employer and are shaped by the student's own performance, the organisation and the location, which is why we invest in every student's skills, confidence and interview readiness from the very first day.
AI-Enabled Sales & Marketing
90-Day, 6-Month and 1-Year Programmes
Sales and marketing teams now use AI to research leads, personalise outreach, create content, run and optimise campaigns, and read customer sentiment at a scale that was impossible a few years ago. What companies need are freshers who combine the human skills of selling, such as conversation, persuasion and negotiation, with the ability to put AI to work across the entire funnel. The AI-Enabled Sales & Marketing programmes build exactly that blend: strong marketing and selling foundations, AI tools and agents for prospecting, CRM, content and performance marketing, and live campaigns with measurable results, preparing you for roles from Inside Sales and BFSI Relationship Officer to Digital & Performance Marketing, E-commerce and Growth Marketing.
Every brand now competes on how intelligently it sells. We train the people who make that happen.
Programme Structure at a Glance
| Component | 90-Day | 6-Month | 1-Year |
|---|---|---|---|
| Name | Professional Certificate in AI for Sales & Marketing | Advanced Professional Certificate in AI-Enabled Sales & Marketing | Professional Mastery Certification in AI-Enabled Sales, Marketing & Agentic Growth |
| Programme structure | Phase 1: 45 days of training (120 contact hours, 24 teaching days). Phase 2: 45-day industry-mentored live project | Phase 1: 3 months of training (300 contact hours, 60 teaching days). Phase 2: 3-month industry internship / placement + agent-build project | Phase 1: 6 months of training (650 contact hours, 130 teaching days). Phase 2: 6-month internship with industry / placement / working with and creating AI agents |
| Programme fee | ₹1,00,000 + 18% GST (₹1,18,000 total) | ₹3,00,000 + 18% GST (₹3,54,000 total) | ₹5,00,000 + 18% GST (₹5,90,000 total) |
| Upgrade option | Upgrade to the 6-month or 1-year programme within 30 days and your fee is adjusted | Upgrade to the 1-year programme within 30 days and your fee is adjusted | - |
| Phase 1 (training) duration | 45 days | 03 months | 06 months |
| AI Productivity Toolkit (Claude/Grok) | 30 h | 45 h | 60 h |
| Agentic AI: Workflow Automation (using existing AI agents) | 2 h review: how AI agents automate sales and marketing tasks | 20 h: e.g. lead research → personalised outreach → CRM update | 50 h: + campaign reporting agents, customer-service agents |
| Super-Agentic AI Lab (students build their own agents by combining multiple agentic AIs) | 6 h: agent-building basics; full agent building continues in Phase 2 | 30 h: a multi-agent sales or marketing workflow | 60 h: a portfolio of agents, including a market-research agent used in Phase 2; building landing pages and small sales tools with AI coding assistants and GitHub |
| Responsible AI, Ethics & Governance in Marketing | 4 h: checking AI output, customer data privacy, honest AI-generated content | 10 h: + consent & India's data protection law (DPDP Act), ASCI advertising and influencer rules, disclosing AI-generated content | 20 h: + deepfake and brand-safety risks, bias in targeting, governance of customer-facing AI agents, case studies of AI failures in marketing |
| Role-Based Career Tracks: AI-Integrated Expertise for Top Fresher Job Profiles[3] | 45 h: preparing for roles like Inside Sales / Business Development Executive, Field Sales Executive, Digital Marketing Executive, Social Media & Content Associate. Includes Sales & Marketing Essentials with AI: personal selling & objection handling with AI role-play, AI-assisted prospecting, social media & content basics, ad campaign basics | 130 h: preparing for roles like Inside Sales / Business Development Executive, Field / Territory Sales Officer, BFSI Relationship Officer, Digital & Performance Marketing Executive, Ads Operations Executive, Social Media & Content Associate, E-commerce / Marketplace Executive, CRM & Customer Success Associate. Includes: consultative selling & negotiation, AI prospecting & pipeline management, CRM with AI, performance marketing, AI content & branding, consumer behaviour & sentiment analysis, services marketing & customer experience, marketplace and quick-commerce selling | 340 h (includes 45 h CRM platform hands-on): preparing for roles like all 6-month roles plus Key Account / Channel Sales Associate, Digital Campaign Analyst, AI Marketing Associate, Brand Associate, Marketing Automation Executive, Market Research & Consumer Insights Analyst, Growth Marketing Associate (D2C), Category / Quick-Commerce Executive, Customer Experience / Services Marketing Associate. Includes: + marketing analytics & dashboards, pricing & trade marketing, brand strategy, field sales execution with AI apps & route planning |
| Business Foundation Knowledge for Context-Rich AI Prompting & Better Decisions | 18 h: fundamental business, marketing and sales concepts that help students give AI the right context and judge its answers | 30 h: fundamental concepts + interview Q&A per subject | 55 h: fundamental concepts + marketing models & theories (STP, 4Ps/7Ps, consumer decision journey, brand equity, services marketing gaps) |
| Aptitude & Placement-Test Preparation[2] | 5 h review session | 20 h | 30 h |
| Interview Readiness, Business Communication & Sales Pitching | 10 h: ATS-compliant CV, LinkedIn profile, Phase 2 project briefing, 2 AI mock interviews | 15 h: role-specific ATS-compliant CV, LinkedIn personal branding, on-demand AI mock interviews (at least 5, more as needed), AI sales role-plays | 35 h: role-specific ATS-compliant CV, LinkedIn personal branding, business writing, GD/PI, corporate etiquette, on-demand AI mock interviews (at least 10, more as needed) + panel mock interviews, live sales-pitch assessments |
| Certifications[4] | Agentic AI in Sales & Marketing certification, Google Ads certification, HubSpot Inbound Marketing | Agentic AI in Sales & Marketing certification, Google Ads & Analytics certifications, Meta Certified Digital Marketing Associate, HubSpot Sales / Content certifications, IRDAI / NISM licence for BFSI sales roles | Agentic AI in Sales & Marketing certification, Google Ads & Analytics certifications, Meta Certified Digital Marketing Associate, HubSpot certifications, Amazon Ads certification, Salesforce Agentforce Specialist, IRDAI / NISM licence for BFSI sales roles |
| Total contact hours (Phase 1) | 120 | 300 | 650 |
| Phase 2 | 45 days: Industry-Mentored Live Project. Students build AI agents for typical fresher tasks (lead research, personalised outreach, content calendars, ad-copy testing, review-sentiment summaries) and run a small live campaign for a local business or D2C brand, with weekly industry-mentor reviews | 3 months: Industry Internship / Placement (up to 3 interview opportunities) + Agent-Build Project (40 mentored hours): agents for the tasks a fresher performs in the job roles above, plus a live campaign with measured results | 6 months: Internship with Industry / Placement / Working with & Creating AI Agents (up to 5 interview opportunities), including: Research-Based Agent Solutions Project (40 mentored hours): agents that research a real market problem, e.g. a consumer-sentiment study or a Tier-2 city market-entry plan, presented to an industry panel. Job-Role Agent Building (40 mentored hours): agents for the tasks performed in the job roles above |
Students in all three programmes take part throughout in CEO Talks, Master Classes by global leaders and Fireside Chats with industry experts, in addition to the contact hours above.
Aptitude and placement-test practice runs on AI-adaptive test platforms that adjust difficulty to each student's level.
Job roles may change with job market conditions, and the Role-Based Career Tracks will be updated to match.
Certifications may change based on job market requirements. The Agentic AI certification will be delivered with a knowledge partner to be finalised.
Target Job Roles
The longer the programme, the wider the range of roles - and the deeper the expertise - you are prepared for.
Swipe the table sideways to see all durations
| Job family | Target job roles | 90-Day | 6-Month | 1-Year |
|---|---|---|---|---|
| Sales & Business Development | Inside Sales / Business Development Executive, Field / Territory Sales Officer | |||
| Digital & Social Media Marketing | Digital Marketing Executive, Social Media & Content Associate, Performance Marketing Executive, Ads Operations Executive | |||
| BFSI & Relationship Sales | BFSI Relationship Officer | |||
| E-commerce & Quick Commerce | E-commerce / Marketplace Executive, Category / Quick-Commerce Executive | |||
| CRM & Customer Success | CRM & Customer Success Associate, Customer Experience Associate | |||
| Key Account & Channel Sales | Key Account / Channel Sales Associate | |||
| Brand, Insights & Growth | Brand Associate, Market Research & Consumer Insights Analyst, Growth Marketing Associate | |||
| AI Marketing & MarTech | AI Marketing Associate, Marketing Automation Executive, AI Sales & Marketing Agent Specialist (RevOps / MarTech) |
Salary packages grow with skills. Every programme prepares students for rewarding, fast-growing careers. The salary package (CTC) a student earns grows with the depth of skills built: the 6-Month and 1-Year programmes develop more advanced, AI-integrated expertise, preparing students for a wider range of roles and higher-value positions. The final role and package are offered by the employer and are shaped by the student's own performance, the organisation and the location, which is why we invest in every student's skills, confidence and interview readiness from the very first day.
Ready to build a career the industry is hiring for?
Seats in each batch are kept small for hands-on mentoring. Secure yours early.
Flexible EMIs & Job-First Pay Later Education Loans
TSL Business School makes quality education accessible through flexible EMI payment options and student-friendly education loans offered by its banking partners. To ease the financial burden on students, loan repayments can begin as late as six months after securing a job or one year after successful completion of the course.
This allows students to focus on skill development and building successful careers with greater financial confidence and peace of mind.
Secure Your Seat - Enroll NowFlexible EMIs
Easy monthly instalments through partner banks
Pay After Placement
Repayment starts 6 months after getting a job
1-Year Grace Period
Or repay 1 year after course completion
Bank Partners
Student-friendly loans from leading banks
Two-Year PGDM: Where AI Is a Way of Life
TSL is launching an AI-first, two-year Postgraduate Diploma in Business Management. Every course, project and assessment is built around AI, and deep domain expertise is the foundation that lets students direct AI with precision, judgement and impact.
* Programme structure and fees are indicative, and minor changes may be made. Final details will be updated when the enrolment window for this batch opens in 2027.
Core Competencies
Eight capabilities every PGDM graduate builds.
Domain Expertise for AI
Deep knowledge of finance, marketing, strategy and operations, the context that makes AI effective.
Prompt & Context Engineering
Directing AI with the right knowledge, data and instructions to get reliable business results.
AI Productivity & Automation
Using AI tools to work faster and smarter in every business function.
Agentic AI Capability
Designing and deploying AI agents for real job roles and workflows.
Analytical & Research Thinking
Solving real business problems with data and AI-assisted research.
Responsible AI & Ethics
Using AI with integrity, aligned to global standards.
Professional Communication
Confident speaking, business etiquette and presentation skills.
Entrepreneurial Mindset
Spotting opportunities and building innovative, AI-enabled ventures.
Programme Outcomes
On completion, graduates will be able to:
Combine domain expertise with AI to make sound, data-backed business decisions.
Use prompt and context engineering to get accurate, reliable outputs from AI tools.
Build and deploy AI agents that improve productivity in finance or sales and marketing roles.
Conduct AI-powered business research and present findings through professional reports and papers.
Demonstrate job-ready skills and industry experience for high-demand fresher roles.
Practise ethical and responsible use of AI in the workplace.
Communicate, collaborate and lead effectively in a professional environment.
Pursue entrepreneurial opportunities with an innovation-driven, AI-first approach.
The detailed programme will be shared soon.
The PGDM is a proposed programme. Its launch, intake and structure are subject to approval from the All India Council for Technical Education (AICTE). Admissions will open only after the required approvals are received.