Frequently Asked Questions

Technovids offers private corporate programmes in generative AI tools, prompt engineering, data analytics, AI engineering and cloud technologies. Content is scoped for the team’s roles and goals. Individuals also have separate live-online public-cohort options, including AI Engineering and AI Programming with Python; corporate terms do not automatically apply to these cohorts.

Yes. Business-focused programmes such as AI for Business Professionals suit non-technical participants and do not require coding. Developer and data-engineering tracks have their own prerequisites and practical labs. Share the team’s roles and current experience so the right starting level can be selected.

Duration depends on the programme. The standard AI for Business Professionals workshop is one day or two half-days; AI-Enhanced Data Analytics is 14 hours over two days. Private Production AI Engineering is 40 hours, for example five eight-hour days or ten four-hour sessions. The public AI Engineering course is 48 live hours over 12 weekends, in batches of 6 learners. Agree any customised timetable before booking.

Yes. Private training can use agreed industry scenarios, tools and workflows. Discovery should establish the audience, business task, data constraints and expected practice outputs. For example, a reporting team and an application-development team need different exercises even when both are learning generative AI.

Depending on the programme, topics can include ChatGPT, Claude, Gemini, Microsoft Copilot, GitHub Copilot, Power BI and relevant AWS, Azure or Google Cloud services. The syllabus specifies which tools are used. Confirm licences, access permissions and any usage charges before the session.

Both, through separate tracks. Business programmes focus on prompting, workplace workflows and responsible adoption. Engineering programmes address APIs, retrieval-augmented generation, controlled agents, evaluation and deployment. Choose the track by the work participants need to perform, not only by the tool name.

Confirm the current syllabus and tools during scoping. Product interfaces, model availability and licences can change, so exercises should be matched to the environment participants will actually use. A particular model release or feature is not included in every programme by default.

Private corporate training is quoted for the agreed engagement. Duration, participant count, delivery format, customisation, assessment and lab requirements affect the quote. Public cohorts have separate enrolment terms. Do not assume that every group size has the same price.

Request a current quote for the chosen programme rather than relying on old indicative ranges. Include the topic, participant count, city or online format, duration and customisation needs. Ask the proposal to separate professional fees, taxes, travel, licences and optional lab costs. The pricing guide explains the variables to compare.

The suitable group size depends on the course, practice format and trainer capacity. AI for Business Professionals and AI-Enhanced Data Analytics recommend 15–25 participants for hands-on practice; that is not a universal minimum. Smaller teams can ask about a scoped private programme or an available public cohort.

Ask for a combined proposal if you need multiple programmes, locations or cohorts. Commercial terms depend on the scope and schedule; a participant threshold does not automatically create a discount. Compare the total delivery and support scope rather than a discount percentage alone.

Share preferred dates early. Trainer availability, custom content, procurement and lab preparation affect lead time. Dates are confirmed for the engagement; do not assume a fixed seven-day turnaround or guaranteed expedited delivery.

Payment milestones, invoicing, applicable taxes and any credit terms are confirmed in the written offer. Review these before accepting a booking. Corporate procurement arrangements and individual public-cohort payments may differ.

Check the cancellation, refund and rescheduling terms attached to your booking before paying. The applicable programme or engagement terms govern notice periods and charges. Contact the team with your booking details if a change is needed; do not assume a universal free-rescheduling period.

Yes, onsite private corporate training can be arranged at the client’s workplace. Participants arrange their own laptops. Confirm connectivity, room facilities, software permissions and any projector or AV needs during scoping. Setup guidance and lab instructions are provided as applicable; a sandbox or VM can be arranged on demand at separate charges.

Yes. Public cohorts are live online through Zoom, with learning resources on the Technovids LMS. Private corporate programmes can also be delivered live online as agreed. Confirm platform, session length, participant count, lab access and interaction arrangements for that delivery.

For a private corporate engagement, discuss whether a mixed in-room and remote setup is suitable for the exercises and trainer. Confirm audio, screen sharing and participant support before booking. This is separate from public cohorts, which are live online rather than classroom or hybrid attendance at the head office.

Technovids is based in Bengaluru and accepts corporate training enquiries across India, including Mumbai, Hyderabad, Chennai, Pune and Delhi NCR. Confirm onsite availability, travel arrangements and any travel charges in the proposal for the requested location.

A typical workshop combines explanation, demonstrations, guided practice, breaks and a review of work-relevant outputs. The exact clock times and balance depend on the programme. Agree the agenda, preparation materials and practical deliverables in advance rather than assuming every workshop has the same timetable or lab percentage.

Yes. Live-online delivery can support distributed teams. Share participant time zones and work schedules so sessions, exercises and any pre-work can be planned. Recording and support arrangements depend on whether this is a public cohort or a private engagement.

Public cohorts include a Technovids completion certificate, subject to the programme’s completion requirements. The standard AI for Business Professionals workshop also includes a certificate. Confirm eligibility and issue timing for the selected programme; there is no blanket promise of a certificate within 48 hours for every attendee.

A Technovids completion certificate records completion of the applicable programme; it is not an AWS, Microsoft or Google vendor certification and does not guarantee employer recognition or hiring. Certificates have a unique ID that can be verified on the Technovids website using the instructions provided with the certificate.

Some cloud programmes cover skills relevant to vendor certification objectives. Confirm the specific exam and current syllabus when enquiring. Vendor exam registration, eligibility, vouchers and fees are separate unless explicitly included in the written offer; attending training does not guarantee passing an exam.

Discuss the delivery language during scoping. English-language delivery and any Hindi or regional-language explanation should be confirmed with the assigned trainer. Do not assume every programme or public cohort is available in every language.

Public-cohort learners receive notes, assignments and lab instructions through the Technovids LMS. Recordings are uploaded within 24 hours and remain accessible for three months. Private workshop materials vary: AI for Business Professionals includes a prompt library, Copilot cheatsheet, adoption-roadmap worksheet and usage-policy starter template. Confirm other corporate materials and access periods in the proposal; a provisioned cloud lab is not automatically included.

Agree what successful performance looks like: a completed workflow, tested project, improved prompt or role-specific practical task. Where scoped, before-and-after exercises and a shared scoring rubric help assess progress. Confirm the assessment report, audience, privacy arrangements and delivery date instead of assuming a universal report or turnaround.

Public cohorts use the Technovids LMS for cohort discussions and learning materials, with three-month recording access. For private corporate workshops, LMS-based support can be arranged if required; scope and duration are agreed for the engagement. A trainer WhatsApp group, 30-day support or extended check-ins are not blanket inclusions.

You can enquire about a refresher focused on questions that arise after participants apply the learning. Share the original programme, gaps and desired outcomes. Duration, trainer availability and fees are agreed separately; there is no automatic discount or fixed refresher entitlement.

A private learning journey can be scoped as multiple sessions with practice between them. Define milestones, participant workload, assessment and sponsor reviews around the intended capability. The number of sessions, delivery dates and support terms are agreed in the proposal.

Discuss an AI-champion approach as part of adoption planning: define responsibilities, select suitable participants, agree escalation routes and create a way to share reviewed examples. Any facilitated workshop or ongoing enablement support needs its own agreed scope rather than being assumed part of every course.

Banking and finance teams can discuss role-specific scenarios such as document review, customer-service drafting, fraud-analysis concepts and workflow automation. Use approved synthetic or anonymised practice data and involve the organisation’s compliance team where necessary. Training is not a regulatory approval or a substitute for legal review.

Healthcare and pharma teams can discuss appropriate non-clinical workflows, literature-review support and relevant AI concepts. Use approved practice data, not identifiable patient records. Clinical deployment, privacy and regulatory decisions require the organisation’s qualified reviewers; course attendance does not establish compliance.

IT services and GCC teams can choose developer, cloud, data and business-adoption tracks. Examples include LLM integration, evaluation, retrieval systems and AI-assisted delivery workflows. Scope practical tasks around the team’s stack and access constraints; do not assume all these topics fit one workshop.

Manufacturing teams can explore predictive-maintenance concepts, quality workflows, supply-chain analysis and reporting automation. Select exercises based on available data, participant skills and the operational decision. An illustrative training use case is not a claim of a measured client deployment.

Yes, a mixed-background cohort can be scoped with shared concepts and differentiated exercises. Collect a skills profile first, identify prerequisite gaps and decide whether separate technical and business tracks would serve participants better. Confirm staffing and lab arrangements for any split-track delivery.