sAIDE | IIT Ropar

DeployAI 2026 Winter School

Winter School on Deployable AI

7 December 2026 – 22 December 2026IIT RoparOrganised by School of Artificial Intelligence and Data Engineering, IIT Ropar

Registration deadline: 25 September 2026

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Event information

Explore the programme, curriculum, registration, venue, schedule, and other event information.

Bridging AI learning and real-world deployment

About DeployAI 2026

DeployAI 2026 is an intensive 14-day winter school designed to bridge the gap between learning artificial intelligence and deploying reliable AI systems. The programme covers the complete AI lifecycle, including machine learning, deep learning, foundation models, large language models, MLOps, cloud-native deployment, responsible AI, and end-to-end application development. Participants will gain practical experience through guided laboratories, industry-oriented case studies, deployment exercises, and a final capstone project.

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From AI foundations to production deployment

14-Day Curriculum

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Learn from experts working across AI research and deployment

Academic and Industry Mentors

DeployAI 2026 brings together experienced academic researchers, industry professionals, technology leaders, and AI practitioners who work across the complete lifecycle of artificial intelligence systems. The mentor group is designed to help participants understand not only how AI models are developed, but also how they are evaluated, deployed, monitored, improved, and maintained in real-world environments. Academic mentors will introduce participants to the foundations behind machine learning, deep learning, computer vision, natural language processing, foundation models, generative AI, and large language models. They will help participants understand the scientific principles, model architectures, training strategies, evaluation methods, ethical considerations, and current research challenges associated with modern AI systems. Industry mentors will provide practical guidance on converting AI prototypes into reliable applications and services. Their sessions will focus on data pipelines, API development, cloud platforms, containerisation, MLOps, model serving, scalability, monitoring, security, responsible deployment, and the operational challenges involved in maintaining AI systems in production. Throughout the winter school, mentors will support participants during lectures, hands-on laboratories, technical discussions, case studies, implementation exercises, and project development. Participants will have opportunities to discuss their technical problems, receive feedback on their solutions, understand alternative approaches, and improve the quality of their implementations. Mentors will also guide the capstone projects and hackathon activities. Their role will include helping teams define practical problems, select appropriate datasets and models, design system architectures, evaluate performance, identify deployment risks, and prepare working demonstrations. This mentorship will allow participants to experience the complete journey from problem formulation to the deployment of an end-to-end AI application. The programme aims to create meaningful interaction between participants and experts from both academia and industry. These interactions will expose participants to current research directions, professional practices, emerging tools, interdisciplinary applications, career opportunities, and the expectations associated with building trustworthy and deployable AI systems. Detailed mentor profiles will include their name, photograph, role, institutional or industry affiliation, area of expertise, biography, professional links, and assigned sessions. These profiles will be added and updated through the Speakers & People management section as the mentor list is finalised.

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The academic and administrative team coordinating DeployAI 2026

Organising Committee

DeployAI 2026 is organised by the School of Artificial Intelligence and Data Engineering at the Indian Institute of Technology Ropar. The organising committee is responsible for the academic planning, technical coordination, participant management, logistics, communication, and successful delivery of the winter school. The committee works closely with academic mentors, industry experts, speakers, laboratory instructors, student volunteers, and institutional support teams. Its responsibilities include finalising the programme structure, coordinating expert sessions, managing hands-on laboratories, reviewing participant applications, maintaining the event schedule, and supporting the capstone project and hackathon activities. The leadership team provides strategic direction for the programme and ensures that the winter school remains aligned with the academic and professional objectives of DeployAI 2026. The coordinators supervise programme execution, communicate with invited experts, monitor participant activities, and resolve academic or operational issues during the event. The local organising committee manages venue preparation, accommodation coordination, registration support, laboratory arrangements, technical infrastructure, hospitality, transport assistance, event documentation, and on-site participant services. Student coordinators and volunteers assist with participant communication, attendance, session management, technical support, photography, documentation, and the smooth execution of lectures, laboratories, demonstrations, and networking activities. Individual committee members, their roles, institutional affiliations, photographs, biographies, and contact information will be added through the Speakers & People management section as the final organising team is confirmed.

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Apply to participate in DeployAI 2026

Registration and Application

DeployAI 2026 invites applications for a 14-day winter school on Deployable Artificial Intelligence, organised by the School of Artificial Intelligence and Data Engineering, Indian Institute of Technology Ropar. The programme is designed for participants who want to understand how artificial intelligence systems are developed, evaluated, deployed, monitored, and maintained in practical environments. It will combine conceptual learning with hands-on laboratories, guided implementation exercises, technical discussions, case studies, expert interaction, and a final project or hackathon activity. Who Can Apply Applications are open to undergraduate students, postgraduate students, doctoral researchers, faculty members, research scholars, working professionals, engineers, developers, and practitioners from relevant academic and professional backgrounds. Applicants from computer science, artificial intelligence, data science, electronics, electrical engineering, mathematics, statistics, computational sciences, and related disciplines may apply. Participants from other disciplines may also apply when they have a clear interest in artificial intelligence and sufficient technical preparation. Expected Background Participants are expected to have basic familiarity with programming and computational problem-solving. Knowledge of Python, data structures, probability, statistics, linear algebra, machine learning, or deep learning will be helpful, although the required level may vary depending on the final programme structure. Applicants should be willing to participate actively in lectures, laboratory sessions, group discussions, coding exercises, project development, and technical demonstrations. Application Procedure Applicants must complete the official online registration form using the Register button available on the event website. The application process includes the following steps: 1. Open the official registration form. 2. Enter accurate personal and contact information. 3. Provide current academic or professional details. 4. Mention the institution, organisation, department, programme, or designation. 5. Describe relevant technical skills, coursework, research experience, projects, or professional experience. 6. Explain the motivation for attending DeployAI 2026. 7. Select or describe areas of interest such as machine learning, deep learning, computer vision, natural language processing, generative AI, large language models, MLOps, cloud deployment, responsible AI, or AI engineering. 8. Upload the requested documents, when applicable. 9. Review all information carefully. 10. Submit the application before the announced registration deadline. Documents and Information The registration form may request some or all of the following: - Recent curriculum vitae or résumé - Student or employee identification - Academic details - Institutional affiliation - Statement of purpose or motivation - Relevant project or research experience - Photograph - Contact details - Accommodation requirement - Payment information - Additional documents required by the organising committee Applicants should upload clear and valid documents in the requested format. Incomplete, inaccurate, or unverifiable submissions may not be considered. Selection Process Submitting the application form does not automatically confirm participation. Applications may be reviewed by the organising committee based on the applicant’s academic or professional background, technical preparedness, motivation, relevance of interests, diversity of participation, availability of seats, and alignment with the objectives of the winter school. The organising committee may shortlist applicants when the number of applications exceeds the available capacity. Selected participants will receive an official confirmation through the email address provided in the registration form. Applicants should regularly check their inbox, spam folder, and institutional email account for updates. Registration Confirmation Participation will be treated as confirmed only after the selected applicant completes all required confirmation steps. These steps may include: - Accepting the offer within the specified time - Paying the applicable registration fee - Submitting proof of payment - Confirming attendance - Providing accommodation or travel information - Completing any additional forms - Following the instructions shared by the organising committee Failure to complete the confirmation process within the specified deadline may result in cancellation of the offered seat. Registration Fee The registration fee may vary according to the participant category, such as student, research scholar, faculty member, academic participant, or industry professional. The applicable fee structure, payment method, bank or portal details, payment deadline, taxes, accommodation charges, and other financial information will be communicated through the official registration form, confirmation email, or event website. Participants should make payments only through the official payment channel communicated by IIT Ropar or the organising committee. The organisers will not be responsible for payments made through unofficial links, personal accounts, or unverified third parties. Fee Coverage Depending on the final announcement, the registration fee may cover selected programme services such as: - Academic sessions - Hands-on laboratory access - Programme material - Participant kit - Institutional facilities - Refreshments or meals - Certificate of participation - Technical support - Networking sessions - Project or hackathon participation Any service not explicitly mentioned in the official confirmation should not be assumed to be included. Refund and Cancellation The refund and cancellation policy will be communicated through the official registration form or confirmation email. Applicants should carefully review the policy before making payment. Refunds, when permitted, may be subject to processing charges, administrative deductions, or specified cancellation deadlines. Non-attendance after confirmation may not automatically qualify for a refund. Accommodation Limited accommodation may be available on or near the IIT Ropar campus, subject to availability and institutional rules. Applicants requiring accommodation should indicate their requirement during registration. Accommodation will be confirmed separately and should not be assumed merely because it was requested. Information regarding accommodation charges, room type, check-in, check-out, campus rules, food arrangements, and available facilities will be shared with selected participants. Participants may be required to carry valid identification during check-in. Travel and Local Transportation Participants are generally responsible for arranging and paying for their travel to and from IIT Ropar unless the organisers explicitly announce otherwise. Travel guidance, reporting location, campus directions, nearby railway stations, airports, bus routes, and local transportation information may be shared before the event. Participants should plan their travel only after receiving official confirmation. Programme Participation Selected participants are expected to attend the full programme and actively participate in the scheduled activities. The programme may include: - Expert lectures - Tutorials - Hands-on laboratories - Coding exercises - Case studies - Group discussions - Mentor interaction - Industry sessions - Project development - Hackathon activities - Demonstrations - Final presentations Participants may be required to maintain minimum attendance and complete assigned activities to qualify for a certificate. Technical Requirements Participants should bring a personal laptop capable of running the required software and development tools. Installation instructions may be shared before the programme. Participants may be asked to install tools such as Python, Git, Visual Studio Code, Docker, machine learning libraries, cloud tools, or other required software. Participants should complete the prescribed setup before arriving so that laboratory sessions can begin without unnecessary delay. Code of Conduct All participants must maintain professional, respectful, and responsible behaviour throughout the programme. Participants must follow IIT Ropar rules, laboratory guidelines, cybersecurity policies, academic integrity requirements, accommodation regulations, and instructions issued by the organisers. Harassment, misconduct, plagiarism, unauthorised system access, misuse of institutional resources, or disruptive behaviour may lead to removal from the programme. Certificates Certificates may be issued to participants who satisfy the attendance, participation, assignment, project, or evaluation requirements defined by the organising committee. Registration alone does not guarantee a certificate. Important Dates Applicants should carefully follow the dates displayed on the event website, including: - Application opening date - Registration deadline - Selection announcement - Payment deadline - Confirmation deadline - Programme start date - Programme end date - Accommodation reporting date The organising committee may revise dates when necessary. Updates will be communicated through the event website or registered email address. Important Instructions Applicants should provide a valid and regularly monitored email address. All submitted information must be accurate and complete. Duplicate applications should be avoided. Applicants should not share registration credentials, payment receipts, or confidential communication publicly. The organising committee reserves the right to verify submitted information, revise the programme structure, limit participation, reject incomplete applications, or cancel participation in cases of false information or non-compliance. Final schedules, speaker details, mentor assignments, laboratory requirements, accommodation arrangements, and reporting instructions will be shared through official channels. Contact and Support Applicants facing difficulties with registration, payment, accommodation, or programme information should use the contact details provided on the Contact page. When contacting the organising team, applicants should mention their full name, registered email address, institution, and application or registration number, when available. Use the Register button on this page or in the event navigation bar to open the official DeployAI 2026 application form.

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Plan your journey to IIT Ropar for DeployAI 2026

Venue, Travel and Campus Information

Event Venue DeployAI 2026 will be conducted at the Main Campus of the Indian Institute of Technology Ropar. Indian Institute of Technology Ropar Main Campus Rupnagar, Punjab – 140001 India The exact academic block, lecture hall, laboratory, registration desk, reporting point, and session rooms will be communicated to confirmed participants before the programme begins. About IIT Ropar The Indian Institute of Technology Ropar is an Institute of National Importance located in Rupnagar district, Punjab. The campus provides academic buildings, modern lecture halls, computing laboratories, seminar rooms, project spaces, hostels, dining facilities, sports facilities, a library, medical support, and other institutional infrastructure required for an intensive residential academic programme. DeployAI 2026 may use different campus facilities for expert lectures, hands-on laboratories, group discussions, mentoring sessions, project development, hackathon activities, and final demonstrations. Participants should follow the room allocations and daily instructions communicated by the organising committee. How to Reach IIT Ropar IIT Ropar is connected to Rupnagar, Chandigarh, Mohali, Ambala, Delhi, and other nearby cities through road, rail, bus, and air transport. Distances and travel times are approximate and may vary depending on the selected route, weather, road conditions, traffic, and mode of transport. By Air The nearest major airport is Shaheed Bhagat Singh International Airport, Chandigarh. Approximate distance from Chandigarh Airport to IIT Ropar: 55–60 kilometres Approximate travel time: 1.5–2 hours by taxi or private vehicle, depending on traffic Participants may hire a prepaid taxi, app-based cab, or private vehicle directly from the airport to IIT Ropar Main Campus. A public-transport alternative is to travel from the airport to ISBT Sector 43, Chandigarh, and then take a bus towards Rupnagar. After reaching Rupnagar Bus Stand, participants may use an auto-rickshaw, e-rickshaw, local taxi, or other available transport to reach the IIT Ropar Main Campus. Indira Gandhi International Airport, New Delhi, is approximately 308 kilometres from IIT Ropar. Participants arriving in Delhi may continue to Rupnagar by train, intercity bus, taxi, or private vehicle. By Train Rupnagar Railway Station is the closest railway station to IIT Ropar. Approximate distance from Rupnagar Railway Station: 8 kilometres Auto-rickshaws, local taxis, and other local transport options are generally available near the railway station. Participants should clearly mention “IIT Ropar Main Campus” when arranging transport. Other railway stations that may be used are: Chandigarh Junction Railway Station: Approximately 57 kilometres from IIT Ropar Ambala Cantt Railway Station: Approximately 93 kilometres from IIT Ropar Participants arriving at Chandigarh or Ambala may continue to Rupnagar by taxi, bus, connecting train, or private vehicle. Travel arrangements should be planned according to the latest railway timetable. By Bus Rupnagar is served by buses from Chandigarh, Mohali, Delhi, Punjab, Haryana, Himachal Pradesh, and nearby cities. Approximate distances from important bus terminals are: Ropar New Bus Stand: Approximately 6 kilometres Kurali Bus Stand: Approximately 22 kilometres Mohali Bus Stand: Approximately 41 kilometres ISBT Sector 43, Chandigarh: Approximately 47 kilometres Chandigarh Bus Terminus, Sector 17: Approximately 51 kilometres After reaching Rupnagar Bus Stand, participants may hire an auto-rickshaw, e-rickshaw, local taxi, or other locally available transport to IIT Ropar Main Campus. Participants travelling from Chandigarh may board buses travelling towards Rupnagar, Nangal, Una, Anandpur Sahib, Mandi, Manali, Hoshiarpur, or other routes passing through Rupnagar. They should confirm the stopping point with the bus operator before departure. By Road Participants travelling by private vehicle or taxi should search for: Indian Institute of Technology Ropar Main Campus, Rupnagar, Punjab The live map provided on this page will display the campus location and can be used to open turn-by-turn directions. Participants should avoid searching only for “IIT Ropar” without confirming that the destination is the Main Campus, because older online records may refer to previous or transit-campus locations. Reporting at the Campus Confirmed participants should report at the date, time, gate, and registration desk mentioned in their confirmation email. Participants may be required to present: 1. Registration confirmation 2. Valid government-issued identification 3. Institutional or employee identification 4. Payment confirmation 5. Accommodation confirmation, when applicable 6. Any additional document requested by the organising committee Participants should arrive sufficiently early to complete entry formalities, registration, room allocation, and technical setup before the first scheduled session. Accommodation Limited accommodation may be arranged on or near the IIT Ropar campus, subject to availability, payment, institutional approval, and confirmation from the organising committee. Requesting accommodation during registration does not automatically confirm a room. Selected participants will receive separate information regarding: 1. Accommodation confirmation 2. Hostel or guest-house location 3. Room allocation 4. Accommodation charges 5. Check-in and check-out timings 6. Identification requirements 7. Dining arrangements 8. Campus and hostel rules Participants should not travel with the assumption that accommodation has been reserved unless they have received written confirmation. Food and Dining Information about meals, refreshments, dining locations, and services included in the registration fee will be communicated separately. Participants with dietary restrictions, allergies, medical conditions, or accessibility requirements should inform the organising committee in advance. Campus Access and Conduct Participants must follow IIT Ropar’s security procedures, access restrictions, laboratory rules, hostel regulations, internet-use policies, academic-integrity requirements, and instructions issued by the event organisers. Participants should carry their identification and event credentials while moving through the campus. Unauthorised entry into restricted areas, misuse of institutional equipment, damage to property, unsafe laboratory practices, or disruptive conduct may result in removal from the programme. Technical Preparation Participants should bring their personal laptop, charger, and any required accessories. Software-installation and system-configuration instructions may be communicated before the programme. Participants should complete the required setup before reporting to reduce delays during laboratory sessions. Travel Planning Recommendations Participants should book travel only after receiving official selection and participation confirmation. They should keep sufficient time between arrival and the reporting deadline, especially when travelling through Chandigarh, Ambala, or Delhi. Return travel should be planned after considering the final session, project demonstration, certificate distribution, accommodation checkout, and travel time from the campus. Participants should regularly check the event website and registered email account for updates regarding venue allocation, reporting time, travel support, accommodation, and programme scheduling. Live Map and Directions An interactive map will be displayed on this page. Participants will be able to view the IIT Ropar Main Campus, open the location in Google Maps, and obtain directions from their current location. The map should be treated as navigational guidance. Final reporting instructions shared by the organising committee will remain authoritative.

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Get assistance regarding registration, travel, accommodation, and programme details

Contact and Participant Support

The DeployAI 2026 organising team will assist applicants and confirmed participants with questions related to registration, eligibility, selection, payment, accommodation, travel, programme scheduling, technical preparation, certificates, and campus reporting. Before contacting the organising team, applicants should review the About, Curriculum, Registration, Venue, and FAQ pages because answers to common questions may already be available there. Registration Support Contact the organising team for assistance with: 1. Accessing or submitting the application form 2. Correcting registration information 3. Eligibility and participation requirements 4. Application status and selection updates 5. Registration confirmation 6. Payment instructions and receipt verification 7. Registration deadlines 8. Cancellation or withdrawal requests When requesting registration support, include your full name, registered email address, institution or organisation, and application or registration number when available. Programme and Academic Queries Participants may contact the team regarding: 1. Programme structure 2. Curriculum and session topics 3. Prerequisite knowledge 4. Laboratory requirements 5. Required software 6. Project and hackathon activities 7. Attendance requirements 8. Certificate eligibility 9. Mentor or speaker sessions Technical setup instructions will be communicated before the programme. Participants should complete the required installation and configuration steps before arriving at IIT Ropar. Accommodation Support Confirmed participants may contact the accommodation team regarding: 1. Accommodation availability 2. Room confirmation 3. Charges and payment 4. Hostel or guest-house allocation 5. Check-in and check-out timings 6. Dining arrangements 7. Campus accommodation rules 8. Accessibility or medical requirements Requesting accommodation during registration does not confirm a room. Participants should wait for written accommodation confirmation before making travel plans based on campus lodging. Travel and Venue Assistance Participants may request guidance regarding: 1. Reaching IIT Ropar 2. Campus entry and reporting points 3. Nearby railway stations, airports, and bus terminals 4. Local transportation 5. Reporting dates and timings 6. Venue buildings and session rooms 7. Campus maps and directions 8. Emergency travel delays Participants experiencing significant travel delays should inform the organising team as early as possible. Official Communication All important updates will be communicated through the event website and the email address entered during registration. Applicants and participants should regularly check: 1. Their registered email inbox 2. Spam or junk folders 3. The DeployAI 2026 event website 4. Official messages from the organising committee Participants should rely only on communication issued through official IIT Ropar or DeployAI 2026 channels. How to Contact the Team The final official email addresses, telephone numbers, coordinator names, office location, and support timings will be displayed on this page once confirmed. When sending an email, use a clear subject such as: DeployAI 2026 – Registration Query DeployAI 2026 – Accommodation Query DeployAI 2026 – Payment Support DeployAI 2026 – Travel Assistance DeployAI 2026 – Technical Requirement Include sufficient information for the team to identify and resolve the query efficiently. Response Time The organising team will make reasonable efforts to respond promptly. Response times may be longer during periods of high application volume, selection processing, payment verification, or immediately before the programme. Applicants should avoid sending repeated messages about the same issue unless the matter is urgent or no response has been received within the communicated support period. Important Safety Notice Do not share passwords, one-time passwords, banking credentials, payment-card information, or other sensitive personal information through email or telephone. Payments should be made only through the official channel communicated by IIT Ropar or the DeployAI 2026 organising committee. The organisers will not be responsible for payments made through unauthorised links, personal accounts, or unverified third parties. Emergency Assistance Emergency and on-campus support numbers will be communicated to confirmed participants before the programme begins. These numbers should be used only for urgent travel, medical, security, accommodation, or campus-access situations.

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Important information for applicants and participants

Frequently Asked Questions

Who can apply for DeployAI 2026? Undergraduate students, postgraduate students, doctoral researchers, faculty members, engineers, developers, working professionals, and practitioners from relevant technical disciplines may apply. Do I need prior experience in artificial intelligence? Basic programming and computational problem-solving experience is expected. Familiarity with Python, mathematics, statistics, machine learning, or deep learning will be helpful. The exact prerequisite level will depend on the final programme structure. Does submitting the registration form confirm my participation? No. Submission of the application form does not automatically confirm participation. Applications may be reviewed based on eligibility, motivation, technical background, relevance of interests, diversity, and seat availability. How will selected participants be informed? Selected applicants will receive confirmation through the email address entered in the registration form. Applicants should regularly check their inbox, institutional email account, and spam folder. Is there a registration fee? The applicable fee structure, participant categories, payment method, payment deadline, accommodation charges, and refund conditions will be communicated through the official registration form, confirmation email, or event website. What does the registration fee include? The final fee coverage will be communicated officially. Depending on the approved programme arrangements, it may include academic sessions, laboratory access, programme material, participant kit, refreshments, certificates, technical support, or project participation. Is accommodation available? Limited accommodation may be available on or near the IIT Ropar campus, subject to availability, institutional approval, payment, and confirmation from the organising committee. Requesting accommodation during registration does not automatically reserve a room. Are travel expenses covered? Participants are generally responsible for arranging and paying for their travel unless the organisers officially announce otherwise. What should participants bring? Participants should bring a suitable personal laptop, charger, valid identification, registration confirmation, accommodation confirmation when applicable, and any additional items mentioned in the pre-event instructions. Which software should be installed? Participants may be asked to install tools such as Python, Git, Visual Studio Code, Docker, machine learning libraries, cloud tools, and other software required for laboratory sessions. Detailed setup instructions will be shared before the programme. Will internet access be provided? Access to campus internet or laboratory networks may be provided according to IIT Ropar policies and event arrangements. Participants must follow institutional cybersecurity and acceptable-use requirements. Will every participant receive a certificate? Certificates may be issued only to participants who satisfy the attendance, participation, assignment, project, evaluation, or other requirements specified by the organising committee. Registration alone does not guarantee a certificate. Is attendance compulsory? Participants are expected to attend the scheduled lectures, laboratories, technical discussions, project activities, and demonstrations. Minimum attendance requirements may apply. Will the programme include hands-on sessions? Yes. DeployAI 2026 is designed to combine conceptual learning with practical laboratories, implementation exercises, case studies, mentor interaction, project development, and demonstrations. Will participants work on a project? The programme is expected to include a capstone project, hackathon, or similar practical activity in which participants develop and demonstrate an end-to-end AI application. Can participants use their own datasets or project ideas? This will depend on the final project guidelines. Mentors may help participants refine problem statements, select suitable datasets, choose models, design deployment pipelines, and evaluate their systems. Will mentors be available throughout the programme? Academic and industry mentors will support selected lectures, laboratories, discussions, and project activities according to the final schedule. Where will the programme be conducted? The programme will be conducted at the IIT Ropar Main Campus in Rupnagar, Punjab. Exact buildings, lecture halls, laboratories, registration desks, and reporting points will be communicated to confirmed participants. How can I reach IIT Ropar? Participants may reach IIT Ropar by air, rail, bus, taxi, or private vehicle. Detailed travel guidance is available on the Venue page. Can I arrive late? Participants should report at the date and time mentioned in their confirmation email. Anyone expecting a delay should contact the organising team as early as possible. Can I cancel my registration? Cancellation and refund conditions will be communicated through the official registration form or confirmation email. Participants should review these conditions before making payment. Can I transfer my confirmed seat to someone else? A confirmed seat should not be transferred without written permission from the organising committee. Can I edit my application after submission? Applicants should contact the registration support team with their full name, registered email address, institution, and application number. Changes may be permitted depending on the stage of application review. What happens if I provide incorrect information? Incomplete, inaccurate, false, or unverifiable information may result in rejection of the application or cancellation of participation. Can international participants apply? International applicants may apply when permitted under the final eligibility and institutional requirements. They are responsible for passports, visas, travel permissions, insurance, and other required documentation unless officially stated otherwise. Will meals be provided? Meal and refreshment arrangements will be communicated separately. Participants with dietary restrictions, allergies, or medical requirements should inform the organising team in advance. What language will be used during the programme? The primary language of instruction and official communication is expected to be English. Can participants record lectures? Photography, audio recording, video recording, and distribution of programme material will be subject to speaker permission, copyright restrictions, IIT Ropar policies, and instructions from the organising committee. What code of conduct must participants follow? Participants must behave professionally and respectfully and follow institutional rules, academic-integrity requirements, laboratory safety procedures, cybersecurity policies, accommodation regulations, and organiser instructions. How will schedule changes be communicated? Schedule updates will be posted on the event website or communicated through the registered email address and official event channels. Who should I contact for additional help? Use the official details listed on the Contact page. Include your full name, registered email address, institution, application number when available, and a clear description of the issue.

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Daily lectures, laboratories, mentoring, and project activities

Programme Schedule

DeployAI 2026 is planned as an intensive 14-day winter school combining expert lectures, guided tutorials, hands-on laboratories, technical discussions, mentor interaction, case studies, project development, and final demonstrations. The programme schedule will provide participants with a structured progression from foundational artificial intelligence concepts to the deployment and operation of complete AI systems. Programme Structure The programme is expected to include the following types of activities: 1. Expert lectures introducing concepts, methods, tools, and current developments 2. Guided tutorials explaining implementation workflows and best practices 3. Hands-on laboratory sessions involving coding, experimentation, and deployment 4. Academic and industry mentor interactions 5. Case studies based on real-world AI applications 6. Group discussions and problem-solving sessions 7. Project planning and implementation 8. Hackathon or capstone activities 9. Technical demonstrations and presentations 10. Feedback and evaluation sessions Indicative Daily Format A typical programme day may include: Morning Session Registration or attendance Expert lecture Conceptual discussion Question-and-answer session Midday Session Technical tutorial Demonstration of tools, models, or deployment workflows Discussion of practical examples Afternoon Session Hands-on laboratory Coding and implementation exercise Group work or mentor-supported problem solving Evening or Extended Session Project development Hackathon activity Mentor interaction Revision, debugging, or preparation for demonstration The actual timing may vary depending on the topic, invited speaker availability, laboratory requirements, project activities, and institutional arrangements. Indicative 14-Day Progression Day 1 AI landscape, AI engineering, deployable AI ecosystem, participant orientation, technical setup, and introduction to the programme. Day 2 Python for AI, data preparation, data processing, visualisation, and reproducible development environments. Day 3 Machine learning foundations, supervised learning, training workflows, and evaluation metrics. Day 4 Feature engineering, model selection, validation, error analysis, and machine learning pipelines. Day 5 Deep learning foundations, neural networks, optimisation, and model training using modern frameworks. Day 6 Computer vision, image representation, classification, visual recognition, and deployment-oriented workflows. Day 7 Natural language processing, text representation, classification, sequence modelling, and practical language applications. Day 8 Foundation models, generative AI, pretrained models, adaptation methods, and responsible use. Day 9 Large language models, prompt engineering, application design, evaluation, and safety considerations. Day 10 Retrieval-Augmented Generation, embeddings, vector databases, document processing, and knowledge-grounded applications. Day 11 MLOps, experiment tracking, dataset and model versioning, reproducibility, testing, and automation. Day 12 Model serving, API development, inference pipelines, latency, scalability, and production integration. Day 13 Docker, cloud deployment, monitoring, security, responsible AI, and maintenance of deployed systems. Day 14 Capstone project, hackathon completion, end-to-end deployment, technical demonstration, evaluation, feedback, and closing session. Final Schedule Publication The final schedule will include: 1. Session date 2. Start and end time 3. Session title 4. Session type 5. Speaker or mentor 6. Venue or laboratory 7. Session description 8. Participant requirements 9. Required software or preparation 10. Schedule updates The detailed session-wise schedule will be added through the Schedule management section of the microsite admin panel. Schedule Changes The organising committee may revise session timings, speakers, venues, laboratories, or activity order when necessary. All important updates will be communicated through the event website, registered email address, or official event communication channels. Participants should check the latest schedule before each programme day and follow the instructions issued by the organising team. Attendance Participants are expected to attend all required lectures, laboratories, project sessions, mentor interactions, and demonstrations. Minimum attendance, assignment completion, project participation, or evaluation requirements may apply for certificate eligibility. Technical Preparation Participants should bring their laptop, charger, and required accessories to all practical sessions. Software installation, datasets, account creation, development environments, and other technical preparation instructions may be shared before the programme. Participants should complete the required setup within the communicated deadline to avoid delays during laboratory sessions.

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