Advanced Engineering Program in Applied AI, ML with Context Engineering

Become the Context Engineer every AI & ML team needs to design scalable, business-driven workflows.

Application Deadline

20th January, 2026

Apply Now Download Brochure

Application Closes In:

Days

Hours

Minutes

Sec

Start Date

February, 2026 (Tentative)

Duration

6 months | 130+ Hours

Course Fee

₹84,000 + 18% GST

No. of Seats Left

34

Credits

18

Application Deadline

20th January, 2026

Application Closes In:

Days

Hours

Minutes

Sec

Program Highlights

India’s first AI program focused on context engineering.

Context-first curriculum covering RAG, agents, and production AI.

Build and deploy real, enterprise-grade AI systems.

Taught by experienced faculty and industry experts.

Graduate with live deployments and recruiter-verifiable portfolios.

Download Brochure For Full Details

About IITM Pravartak

IITM Pravartak Technologies Foundation is the Technology Innovation Hub of IIT Madras, established under the Department of Science and Technology, Government of India. Embedded within the IITMRP ecosystem, it combines renowned faculty, cutting-edge labs, and specialised research facilities to drive skilling, innovation, and incubation.

Working at the intersection of academia, research, and industry, IITM Pravartak fosters the adoption of deep technology, nurtures next-generation talent, and enables real-world impact.

Our Program Director

Dr. Indu Joshi

Assistant Professor at IIT Mandi

Dr. Indu Joshi is an Assistant Professor at IIT Mandi’s School of Computing and Electrical Engineering. Her research spans Bayesian Deep Learning, Domain Adaptation, Generative Models, Continual Learning, Attention Models, Medical Image Processing, and Biometrics, with multiple publications in these areas.

Dr. Joshi has represented India at the BRICS Young Scientist Conclave, attended the prestigious Heidelberg Laureate Forum, and has been recognized for her popular science writing by India’s Minister of Science & Technology. She is also a recipient of the Institute Silver Medal, awarded by the President of India, for her M.Tech.

‍

The IIT Advantage

Experience Campus Immersion At IITM Pravartak Research Park

Certification From IITM Pravartak

Receive a Certificate of completion from IITM Pravartak,
recognizing your achievement.

in Just 6 Months

How You Go From Learning To Orchestrating

Module 0: Understanding Prompt and Context-Driven Artificial Intelligence

Understanding how traditional ML and DL is transforming by infusing models with real-world context driven prompts rather than relying solely on raw historical data

Module 1: Mastering Visual Design Aesthetics

Python basics, functions, OOP, NumPy, Pandas, data visualization and EDA

Module 2: Applied Math and Stats for ML

Linear algebra, probability, statistics, derivatives, gradient descent, optimization

Module 3: Feature selection and Feature Engineering for ML

Data splitting, pipelines, hyperparameter tuning, model evaluation, reproducibility

Module 4: Machine Learning with Context Engineering

Supervised & unsupervised learning, regression, classification, clustering, PCA

Module 5: Deep Learning with Context Engineering

ANNs, CNNs, RNNs, Transformers, Computer Vision and NLP

Module 6: Generative AI Foundations

LLMs, Embeddings, Generative models, Transfer learning, Diffusion models

Module 7: Large Language Models and Prompt and Context Engineering

LangChain, HuggingFace, prompt engineering, LLM pipelines

Module 8: RAG based Context Engg with LLMs

What is context in GenAI and why it matters, Understanding context (tokens, anatomy), instruction & schema design (few-shot, JSON/tool specs), and grounding via RAG (chunking, hybrid retrieval, re-ranking, freshness & citations), Memory & optimization (rolling summaries, compression, cost controls), safety/governance (injection defenses, PII minimization), evaluation & observability (golden sets, KPIs, tracing), and production patterns.

Module 9: Vision & Multimodal AI

Image-text alignment, CLIP, BLIP, image captioning, multimodal tasks

Module 10: Agentic AI

Autonomous agents, memory, tool use, planning, multi-agent systems

Module 11: Distributed ML and Federated Learning and Attacks

Parallel vs Distributed training, FL architectures and applications, security and privacy in FL, adversarial attacks and defences, contextual applications

Module 12: AI Ethics and Bias, Governance and Risk

Bias & fairness, explainable AI (SHAP, LIME), transparency, accountability, DPDP Act, GDPR, IP rights in AI, AI audits, risk registers

Module 13: AI in Healthcare

Disease prediction, medical image analysis, GenAI in clinical assistance

Module 14: AI in Retail & E-commerce

Recommender systems, churn prediction, product search, GenAI for content

Module 15: AI in Manufacturing and Heavy Engineering Industries

Defect detection using computer vision (e.g., weld defects, surface anomalies), Process optimization and Supply chain forecasting and downtime prediction, Real-time safety monitoring (e.g., helmet detection, gas sensor alerts)

Module 16: MLOps & Scaling

Model deployment, Docker, CI/CD, MLflow, monitoring

Module 17: GenAI Ops

Prompt evaluation, moderation, hallucination testing, cost optimization

Module 18: AI Product and System Design

LLM system design, chaining, fallback mechanisms, prompt management

Participants will work on 10+ diverse hands-on activities with AI Tools

RAG-Based Document Generation System

AI Agents for Automated Customer Support (MAS)

Contextual Customer Support Agent using LangChain

Context-Aware Product Review Generation using RAG

Automated Content Moderation Agent with RAG

AI Clinic

Through the Futurense AI Clinic, you’ll gain hands-on exposure to real enterprise-grade AI projects, from ideation to deployment.

Build Real AI Systems

Solve high-impact engineering tasks across RAG, agents, ML pipelines, and deployment, so your portfolio reflects the work actual AI teams do.

Master Production-Ready Tools

Train and build with GPT models, HuggingFace, CNNs, RNNs, CLIP, BLIP, LangChain, LangGraph, Docker, and MLflow, the same stack used by modern AI companies.

Design Reliable LLM & Agent Workflows

Create retrieval-driven systems, structured prompts, function-calling agents, and multi-agent pipelines with memory, guardrails, and evaluation frameworks.

Deploy End-to-End AI Like an Engineer

Containerize, monitor, and automate AI systems with CI/CD, observability, cost–latency tuning, and bias audits, giving you real-world readiness from Day 1.

While mastering 30+ Tools

AI/ML Development Frameworks

LLMs & GenAI Model Ecosystem

LLMOps, RAG & Vector Database Stack

MLOps, Deployment & Infrastructure

Agentic AI & Workflow Automation

Developer Environment & Experimentation Tools

By The End, You’ll Be Able To Do All This

Build a Strong, Industry-Ready AI Foundation

Master the essential math, Python, ML workflows, and engineering principles needed to build real AI systems.

Design & Deploy Context-Aware ML and GenAI Models

Fine-tune and align models like GPTs, BERT, LLaMA, and Mistral to solve domain-specific problems across industries.

Engineer RAG Pipelines That Actually Work in Production

Build retrieval-augmented systems using LangChain, HuggingFace & vector databases, and structure context to make AI accurate and reliable.

Work With Distributed ML & Federated Learning

Train models across distributed systems, build privacy-preserving pipelines, and understand how modern large-scale AI infrastructure operates.

Implement AI Security, Safety & Governance

Evaluate bias, enforce guardrails, monitor drift, and deploy AI systems that meet enterprise safety and compliance standards.

Design End-to-End AI Workflows With the Context Engineering Canvas

Map how data, reasoning, retrieval, tools, memory, and user interactions connect to create reliable AI systems to operate in real environments.

Integrate AI Directly Into Business Workflows

Plug AI into sales, support, HR, finance, and operations tools, so it drives measurable business outcomes, not isolated demos.

Build and Deliver a Real, Production-Grade Capstone

Showcase a complete, context-aware AI solution that proves your ability to architect, build, integrate, and deploy AI like an industry engineer.

This Program is for

Educational Qualification

Bachelor’s degree (3 or 4 years) in Engineering, CS/IT, Math, Statistics, Analytics, or Business. MCA, M.Sc, M.Tech, and MBA (with tech exposure) are also eligible. Final-year students can apply with 50% minimum marks.

Work Experience

No prior experience required. Candidates with IT, software, analytics, or data-related experience will be given preference.

Freshers

Open to fresh graduates and final-year students with basic programming exposure. The program is structured to build job-ready AI engineering skills from the ground up.

Prior Knowledge

Basic programming (Python preferred) and foundational math. Must clear the Pre-Screening Test.

Educational Qualification

Short Qualifying Test (non-technical)

Qualifying Test

What You’ll Be Tested On

Logical Reasoning

Data Literacy and Interpretation

AI General Awareness

Python Programming Basics

Duration: 45 minutes

Important Guidelines

Sectional cutoff for Areas to be tested.

No Sectional Cutoff for Time.

Students can answer any section in any order.

No interview

Students and professionals

who want to shift into AI, ML, GenAI, or Data roles with a strong, engineering-first foundation.

Freshers and final-year students

seeking industry-ready skills to accelerate their entry into high-growth tech careers.

Working professionals

in software, analytics, IT, or business roles who want to upskill into next-gen AI workflows and systems.

Learners

who want hands-on experience building, deploying, and integrating real-world AI systems, not just learning models in theory.

Roles Thatʼll Be Looking for You

ML Engineering & Applied AI

LLM Engineering & GenAI Development

RAG & Retrieval Engineering

Earning Potential

33 LPA

Career Assistance

Young man studying math, writing notes with a pen while looking at a laptop screen displaying a right triangle and equations.

Profile, Narrative & Resume Building

Craft a recruiter-ready identity with optimized resumes, LinkedIn profiles, and a strong career narrative.

Students seated at desks with laptops attending an online video conference featuring a man speaking.

Career-Specific Training

Develop job-ready skills with role-focused training, capability tests, AI tools workshops, and continuous upskilling to match real hiring expectations.

Two men sitting at a table in an office, reviewing documents and discussing work with a laptop and coffee cups nearby.

Futurense Job Board - Exclusive Opportunities

Access curated, pre-vetted roles before they hit public portals, with priority visibility for Futurense learners.

Two men reviewing a resume document together at a table in a modern office setting.

Interview Playbooks & Cheat Sheets

Get insider interview guidance with structured playbooks: FAQs, sample answers, frameworks, recruiter insights, and round-wise preparation.

Mock Interviews with Experts

Experience real interview simulations with personalized feedback from mentors, industry leaders, and FLC members.

Three young professionals enjoying coffee and snacks while collaborating around a laptop in a modern office.

Mentor Referrals & Networking

Unlock referral advantages, insider recommendations, alumni-driven opportunities, and FLC mentorship that accelerates your career entry.

Two men sitting across a wooden table in an office, one taking notes and the other using a laptop.

Salary Negotiation Support

Get guidance on positioning, benchmarking, negotiation strategy, and communication to secure the compensation you deserve.

Our students are acing it!

They are working at companies which are a dream for most

Fee Structure

Total Admission Fee

₹84,000

+ 18% GST

Apply Now

A non-refundable application deposit of ₹5,000 will be adjusted in the total fee. Program fees are refundable only if the student withdraws before the start date. No refunds will be made after the program begins.

An additional ₹10,000 will be applicable if you opt for the Campus Immersion (optional).

Deserving candidates opting for the upfront payment plan may be eligible for a scholarship of up to ₹9,000.

Application Deadline

20th January, 2026

Admissions close once the required number of students is enrolled for the upcoming cohort. Apply early to secure your seat.

How it Works

Application Process

Submit Your Application

Fill in your details and share your interest in joining the program.

Clear the Qualifying Test

A short, non-technical test designed to assess your marketing aptitude.

Pay and Confirm Your Seat

Secure your spot in the upcoming cohort with flexible payment options

Apply Now

Traditional Online Courses vs. IITM Pravartak’s Context Engineering

Dimension

This Programme

Other Programme

Core Philosophy

Context Engineering + Applied AI systems that work end-to-end in real environments

Focus on model demos, isolated concepts, or surface-level AI skills

Curriculum Depth

Full-stack progression: data → models → RAG → agents → deployment → evaluation

Fragmented modules without real workflow integration

Learning Method

Hands-on labs mirroring real AI team workflows with engineering constraints

Primarily tutorial-style learning with limited real-world context

Tool Exposure

Industry-grade stack: LangChain, LangGraph, HuggingFace, Faiss, Pinecone, MLflow, Docker, K8s

Usually limited to Python notebooks and model APIs

LLM & GenAI Mastery

Build grounded, domain-tuned, context-aware LLM systems with safety & evaluation layers

Mostly basic prompting or single-model experimentation

RAG & Retrieval Systems

Hybrid retrieval, embeddings, vector DBs, evaluation metrics, and real question-answering pipelines

Basic embeddings or simple chatbot-style RAG

Agentic AI Engineering

Multi-agent design, tool-use, memory, orchestration, guardrails, fallback logic

Rarely covers agent workflows or advanced orchestration

AI Security & Governance

Bias audits, safety layers, guardrails, monitoring, compliance

Limited or no coverage of AI safety and reliability engineering

Distributed & Federated Learning

Hands-on labs in distributed ML, scalable training, and privacy-preserving workflows

Mostly single-machine ML training

Workflow Architecture

Context Engineering Canvas to map reasoning, retrieval, decisions, tools, and user flows

No structured framework for AI system design

Business Integration

Design AI that integrates with sales, support, HR, finance, ops, and product workflows

Mostly standalone examples without enterprise integration

Capstone Format

Build a deployable, context-rich AI system aligned to enterprise-grade requirements

Basic final project or model demo without deployment

Career Outcomes

Job-ready portfolio for roles in LLM Engineering, RAG, Agentic AI, MLOps, and Applied AI

Generalist AI/ML portfolio without engineering depth

Mentorship & Evaluation

Reviewed by IIT faculty + industry engineers with detailed performance feedback

Automated or minimal feedback loops

Feeling Underconfident About Your Tech Skills?

Kick things off with a 2-Week Bridge Course that gets you course-ready

Young man in a blue shirt resting his chin on his hand, looking thoughtfully upward.

What you'll learn:

Math Refresher

Programming Foundations

Databases with MySQL

GenAI, Agentic AI, and Prompt Engineering

Cloud Foundations with Azure, GCP, and AWS

Worth ₹29,000

Included free with your enrollment.

Led by the Futurense Leadership Council (FLC)

A collective of CXOs, AI leaders, and digital transformation heads from
Fortune 500 companies shaping the AI-native workforce.

A V Rahul

Director, Analytics, - Barracuda

Aditya Khandekar

President, Corridor Platforms

Akshay Kumar

Research & Analytics Leader

Alok Tiwari

Director of Analytics, Junglee Games

Anand Das

Chief Digital & AI Officer, TVS Motors

Aneel kumar

Global Chapter Leader - ICSS, DD&T

Anirban Nandi

Head of AI Products & Analytics (Vice President), Rakuten India

Ankit Mogra

Director – Insights & Analytics, Ather Energy

Anupam Gupta

Independent Consultant – AI/ML Product Development, Amplify Health

Arpit Agarwal

Data Science Manager, Google

Arvind Balasundram

Executive Director, Commercial Insights & Analytics

Ashish Dabas

Vice President, Capital One

Bhairav M

Senior Manager Data Science and Product Management

Bhargab Dutta

Chief Digital Officer, Centuryply

Deepa Mahesh

Head of Strategy & Operations, Board Member

Divesh Singla

SVP, Global Operations Services and Managing Director, India & Philippines, SignantHealth

Indrani Goswami

Director of Analytics, NYKAA

Ishu Jain

Head of Analytics

Kaushik Das

Managing Director, JCPenney

Krithika Muthukrishnan

Chief Data Science Officer, Scripbox

Madhu Hosadurga

Global Vice President, Enterprise AI, Schneider Electric

Madhurima Agarwal

Managing Director - Microsoft for Startups

Monica S Pirgal

Chief Executive Officer, Bhartiya Converge

Muthumari S

Global Head of Data & AI Studio

Nithya Subramanian

Senior Director Data & AI COE - Best Buy

Nitin Srivastava

Global Head of Data and Analytics, Dr. Martens plc

Pankaj Rai

Group Chief Data and Analytics Officer, Aditya Birla Group

Pankaj Srivastava

Partner, PwC

Praveen Sathyadev

Head - EU/UK Business Growth (VP) - Analytics, Insights and AI, Course5i

Ruchika Singh

Director, Data Science & Insights, Spotify

Satyakam Mohanty

Founder & Managing Partner, Wyser

Saurabh Agarwal

Chief Executive Officer

Saurabh Kumar

Director - Data Engineering

Sharmistha Chaterjee

Executive Engineering Manager - Head of Software and Systems Engineering, Commonwealth Bank

Shirsha Ray Chaudhuri

Director of Engineering

Srini Oduru

Head of IT Delivery and Operations, Cervello India

Sulabh Jain

Chief Analytics Officer

Sumon Mal

Head of Backend Engineering, Sony LIV

Supria Dhanda

Co-Founder & Managing Partner, Wyser

Swati Jain

Partner - Digital, AI & Analytics, Deloitte

Tushar Chahal

Chief Technology Officer, Numisma Bank

Tushar Sahu

Director Engineering, Google

Vidhi Chugh

AI Executive | Microsoft MVP

Vishal Nagpal

Director of Data and AI at Best Buy

Vishal Nagpal

Director of Data and AI at Best Buy

Vidhi Chugh

AI Executive | Microsoft MVP

Tushar Sahu

Director Engineering, Google

Tushar Chahal

Chief Technology Officer, Numisma Bank

Swati Jain

Partner - Digital, AI & Analytics, Deloitte

Supria Dhanda

Co-Founder & Managing Partner, Wyser

Sumon Mal

Head of Backend Engineering, Sony LIV

Sulabh Jain

Chief Analytics Officer

Srini Oduru

Head of IT Delivery and Operations, Cervello India

Shirsha Ray Chaudhuri

Director of Engineering

Sharmistha Chaterjee

Executive Engineering Manager - Head of Software and Systems Engineering, Commonwealth Bank

Saurabh Kumar

Director - Data Engineering

Saurabh Agarwal

Chief Executive Officer

Satyakam Mohanty

Founder & Managing Partner, Wyser

Ruchika Singh

Director, Data Science & Insights, Spotify

Praveen Sathyadev

Head - EU/UK Business Growth (VP) - Analytics, Insights and AI, Course5i

Pankaj Srivastava

Partner, PwC

Pankaj Rai

Group Chief Data and Analytics Officer, Aditya Birla Group

Nitin Srivastava

Global Head of Data and Analytics, Dr. Martens plc

Nithya Subramanian

Senior Director Data & AI COE - Best Buy

Muthumari S

Global Head of Data & AI Studio

Monica S Pirgal

Chief Executive Officer, Bhartiya Converge

Madhurima Agarwal

Managing Director - Microsoft for Startups

Madhu Hosadurga

Global Vice President, Enterprise AI, Schneider Electric

Krithika Muthukrishnan

Chief Data Science Officer, Scripbox

Kaushik Das

Managing Director, JCPenney

Ishu Jain

Head of Analytics

Indrani Goswami

Director of Analytics, NYKAA

Divesh Singla

SVP, Global Operations Services and Managing Director, India & Philippines, SignantHealth

Deepa Mahesh

Head of Strategy & Operations, Board Member

Bhargab Dutta

Chief Digital Officer, Centuryply

Bhairav M

Senior Manager Data Science and Product Management

Ashish Dabas

Vice President, Capital One

Arvind Balasundram

Executive Director, Commercial Insights & Analytics

Arpit Agarwal

Data Science Manager, Google

Anupam Gupta

Independent Consultant – AI/ML Product Development, Amplify Health

Ankit Mogra

Director – Insights & Analytics, Ather Energy

Anirban Nandi

Head of AI Products & Analytics (Vice President), Rakuten India

Aneel kumar

Global Chapter Leader - ICSS, DD&T

Anand Das

Chief Digital & AI Officer, TVS Motors

Alok Tiwari

Director of Analytics, Junglee Games

Akshay Kumar

Research & Analytics Leader

Aditya Khandekar

President, Corridor Platforms

A V Rahul

Director, Analytics, - Barracuda

Ready to Become the Engineer Behind Reliable AI?

Build context-driven, deployable AI systems trusted by real-world teams.

Apply Now

Frequently Asked Questions

We know you might have some questions before getting started in our platform

Program Overview & Eligibility

Learning Format, Faculty & Pedagogy

Curriculum & Tools

Career Pathways & Outcomes

Financials & Support

What is the duration of the program, and when does the first cohort begin?

The duration is 6 months. Batch commerce on 21st February, 2026.

What are the eligibility criteria for this program, and who should ideally enroll?

This program is for those who are hungry to learn, passionate about AI, and have enough grit to work hard and transform their careers.
‍
1. Bachelor’s degree in Engineering/CS/IT/Math/Analytics/Business with minimum 50% marks.
2. Basic familiarity with Python programming
3. Must pass IITM Pravartak pre screening assessment

You are :
1. A fresh graduate on early professional (0-3 years experience)
2.Current earning ₹3-8L and aspiring for ₹10-20L + technical roles
3. Ready to invest 12-15 hours/week for 6 months
4. Serious about building a production ready AI portfolio
5. Looking to transition into AI/ML Engineering roles.

Additional Requirements:
1. Proficiency in at least one programming language (Python preferred)
2. Understanding of basic statistics and mathematics
3. Stable internet connection for weekend live classes
4. Commitment to complete all assignments and projects

How can I apply to the Advance Certificate Program in Applied AI and ML with Context Engineering?

Click on Apply now and fill form

When will the application process to the program start?

The application process for Advanced Certificate, IITM Pravartak Program has already begun.

What is the program's fee, and what financing options are available?

The program fee is ₹84,000 + 18% GST. Loan options are available with low cost EMIs.
In addition, an amount of ₹10,000 (tentative) towards Immersion Charges shall be paid separately by the candidate to Futurense Technologies. This amount is not included in the above mentioned fees.

Is there a selection process?

Yes. Admission to the program requires clearing a pre-screening test and meeting the eligibility criteria

What are the documents to be submitted for application?

1. Aadhar Card
2. DOB (in correct format and as per Aadhar Card - DD/MM/YYYY)
3. Resume
4. Graduation Marksheet and Degree (cross-verified with scores entered in the application portal)
5. 10th Marks (cross-verified)
6. 12th Marks (cross-verified)
7. Previous Experience Letter, Offer Letter, and Salary Slip
8. NOC (mandatory for M.Tech applicants; self-declaration required for PGD applicants)

Will there be any pre-screen test for enrolling in the Program?

Yes, there will be a pre-screening test

Should I have experience in coding to qualify the pre-screening exam?

Yes. Basic programming knowledge is mandatory, Python is preferred.

How is the teaching format structured for this hybrid program?

The program is delivered through online live sessions along with a campus immersion at the IITM Pravartak campus at the end of the program.

What if I can t take 2 days of leave at a stretch from my office for the Campus Immersion?

Campus immersion is 2 days at the end of the program and is optional.

Will there be any additional cost for attending the optional 2-day IITM Pravartak Campus Immersion?

Yes, an additional will be charged for the 2-day campus immersion, will be collected ₹10,000 (tentative) by Futurense Technologies.

Will hostel accommodation be provided for outstation candidates from different states during immersion?

Yes, accommodation will be arranged (subject to availability)

What are some practical projects or hands-on learning outcomes included in the course?

The program includes assignments, case studies, and a Capstone Project, where learners apply AI/ML concepts to real-world business problems.

What are the key modules in the program, starting from traditional AI to building multi-agent systems?

Modules include:
‍
1. Understanding Context-Driven Applied AI 
2. Programming Refresher for AI 
3. Applied Math and Stats for ML 
4. ML Engineering 
5. Machine Learning Algorithms 
6. Deep Learning 
7. GenAI Foundations 
8. Open Source LLMs 
9. Context Engineering 
10. Vision & Multimodal AI 
11. Agentic AI 
12. Distributed ML and Federated Learning and Attacks 
13. AI Ethics and Bias, Governance and Risk 
14. AI in BFSI 
15. AI in Healthcare 
16. AI in Retail & E-commerce 
17. AI in Manufacturing and Mining 
18. MLOps & Scaling 
19. GenAI Ops 
20. AI Product and System Design

What is the significance of teaching multi-agent systems and agent collaboration in the program?

It helps learners design through modules on scalable, collaborative AI systems Agentic AI and Distributed ML, preparing them for next-gen automation use cases.

Who is the program coordinators, and why is their expertise significant?

Dr. Indu Joshi is an Assistant Professor at IIT Mandi's School of Computing and Electrical Engineering. Her research spans Bayesian Deep Learning, Domain Adaptation, Generative Models, Continual Learning, Attention Models, Medical Image Processing, and Biometrics. She holds a PhD from IIT Delhi and has completed postdoctoral research at Inria Sophia Antipolis, France, and the Technical University of Munich, Germany. She is an INAE student member, a Raman-Charpak Fellow, and a DAAD-PostDocNet-AI Fellow. Dr. Joshi has represented India at the BRICS Young Scientist Conclave and the prestigious Heidelberg Laureate Forum.

How do industry leaders and the Futurense Leadership Council (FLC) contribute to the program?

Industry experts from Google, Microsoft, Infosys, Lenskart, AmEx, and more teach live sessions.
‍The Futurense Leadership Council offers:

1. Masterclasses
2. Mentorship
3. Real-world MarTech case walkthroughs
‍
50% of sessions are taught by industry faculty, ensuring applied learning

What areas of AI does this program cover, and how does it integrate traditional AI, generative AI, and agentic AI?

1. The program covers Applied AI, ML, Deep Learning, GenAI, Agentic AI, and Context Engineering.
2. It integrates traditional AI techniques with modern generative and agent-based models for real-world applications.

What tools and platforms are covered in this program?

The program uses during live sessions and the Python-based tools and open-source AI frameworks Capstone Project.

Why is agentic AI called the next big thing in AI technology?

Agentic AI enables that can make context-driven decisions and autonomous, intelligent systemscollaborate dynamically across applications.

What makes this certificate program particularly suitable for engineers and tech professionals?

It equips professionals with along with domain applications across advanced AI, ML, and GenAI skillsindustries — ideal for engineers transitioning into AI-driven roles.

How does the program enable participants to specialize in their specific engineering domains?

By including such as domain-focused modules AI in BFSI, Healthcare, Retail, and Manufacturing, allowing learners to apply AI contextually.

What job roles can participants expect to pursue after completing this program?

1. LLM Engineer (Jr.) 
2. Prompt & Evaluation Engineer 
3. Context / Inference Engineer (Jr.) 
4. Model Evaluation / Reliability Engineer (Jr.) 
5. Responsible AI / AI Governance Analyst (Jr.) 
6. Federated Learning Research Engineer (Jr.)

How does having skills in generative AI and agentic AI impact salary and job prospects?

It positions professionals for high-demand, specialized AI roles with significantly higher earning potential compared to general AI roles.

How does this program align with the rapid adoption of generative AI by companies like Infosys, TCS, and startups?

It trains participants in building enterprise-ready, autonomous AI systems — matching the industry trend of setting up GenAI and agentic AI labs.

What is the Payment Schedule and Process?

1. Full fee payment of ₹84,000+ 18% GST must be completed within 5 days of receiving the offer letter
2. A non-refundable application deposit of ₹5,000 is required at the time of submission (adjusted in final fee)
3. Loan options are also available

Can I self-fund this program?

Yes. If you or your family are funding the program, you can choose to self-fund either partially or in full.

Does Futurense help with loans?

Yes. Futurense has partnered with various financial institutes to offer financial assistance

What is the interest rate on the loans?

Interest rates vary depending on the repayment plan and financial partner. Rates are described as reasonable and competitive considering the recent rise in unsecured loan rates in India.

What are the documents I should keep handy?

Student's Documents:

1. PAN
2. Aadhar
3. Last 3 months’ bank statements
‍4. Income Documents
5. Last 3 months’ payslips