New to Claude?
Use the introduction to learn task framing, context, examples, output format and review basics.
Corporate AI training · Onsite & live online
Based in Bengaluru · delivering across India
Free introductory session · Availability based
Learn the foundations of clear prompting, document work and responsible Claude use before deciding whether you need a deeper course.
Free Claude Training is Technovids’ availability-based introductory learning option for people who are new to Claude. A confirmed session focuses on account and data boundaries, clear instructions, useful context, examples, output format, document tasks and verification. Registration records interest; it does not guarantee an immediate date, seat, recording, certificate or advanced modules. Learners who need department workflows, Claude Code, connectors, MCP or team adoption should use the full Claude AI Training course.
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Scope boundary: Interest registration is not a booking. No start date, seat, recording, LMS access, certificate, support period or advanced project is promised unless stated in the confirmed session invitation.
A short free session is useful for orientation; it cannot substitute for role practice or technical implementation.
Use the introduction to learn task framing, context, examples, output format and review basics.
Choose the full course when HR, marketing, finance, operations or management examples need guided practice.
Use the technical pathway; an introductory session can explain the concepts but does not teach implementation depth.
Request private training aligned to approved accounts, data policy, use cases and adoption expectations.
Each session runs 3 hours, and the invitation publishes the final agenda; examples remain beginner-friendly and use non-confidential material.
Turn a vague request into an instruction with purpose, audience and desired result.
Use a small example and specify headings, table fields or another useful structure.
Ask for key points, questions and a defined audience from permitted text.
Create and improve a short email, note or explanation from an approved brief.
Ask Claude to organise supplied options against explicit criteria.
Use a repeatable final check for facts, sources, calculations, privacy and approval.
The free introduction is one entry point; deeper routes have different prerequisites and commitments.
This page
Learn basic prompting, document tasks and verification in a scheduled introductory session.
Best for: First-time users exploring fit
Study workplace workflows, prompting and technical options in a structured course.
Best for: Professionals and developers wanting guided depth
Adapt adoption, workflows and governance to one organisation.
Best for: L&D, business functions and technical teams
Focus on AI-assisted development, repository context and engineering controls.
Best for: Software developers and engineering teams
The distinction is depth and commitment, not a hidden promise attached to “free.”
| Decision point | Free introduction | Full Claude course |
|---|---|---|
| Availability | Only when a session is scheduled | Dates and format confirmed for the selected offer |
| Depth | Beginner orientation and examples | Structured workplace and technical pathways |
| Advanced topics | Explained only if included in the invitation | Can include Claude Code, connectors and MCP |
| Inclusions | Only what the invitation states | Published course and enrolment terms |
The useful outcome is better judgement about tasks, prompts and next steps—not a credential claim.
State purpose, context, constraints and expected format more clearly.
Check claims, omissions, source support, tone and uncertainty before use.
Recognise when approved accounts, safe examples or organisational guidance are required.
Decide whether self-practice, the full course or private team training fits the need.
The next confirmed cohort information is shared before enrolment, and the learning path keeps practice and review visible.
Share your background, current tools and goal. Chandan discusses fit first; a subject-matter expert follows up when technical depth is needed.
Receive the current dates, live schedule, fee, prerequisites, inclusions and cancellation or transfer terms before deciding.
Complete the stated setup using your own suitable device and any accounts or paid API access required for the selected course.
Join live Zoom classes, complete exercises or projects, use LMS resources and apply instructor feedback.
Submit the agreed work and receive a Technovids completion certificate with a unique website-verifiable ID when the stated requirements are met.
Free-session arrangements can change, so the invitation is the controlling source.
Registering interest is free and creates no payment obligation. It does not guarantee a session date or seat.
The exact live-online schedule and joining time.
Topics, level, examples and any prerequisite account.
Registration confirmation, Zoom details and attendance requirements.
Only resources, recording, LMS access or certificate specifically named in the invitation.
Participants practise AI assistance with organisational boundaries and human accountability visible at every material step.
Accounts, confidential information, personal data and intellectual property follow the organisation’s existing policies and approved environment.
Facts, calculations, sources, tone, completeness and decision impact are checked against the original material and task.
AI can assist drafting or analysis; an accountable person still reviews the work and owns the action or decision.
Teams compare quality, effort, adoption and risk for a defined workflow rather than claiming generic productivity gains.
Claude capabilities and prompting guidance change; current Anthropic documentation is used for the confirmed session.
Technovids assigns a suitable trainer after the audience, subject depth and delivery needs are confirmed.
Co-founder & Lead Instructor, Technovids Consulting
Pankaj is a co-founder and the lead instructor at Technovids Consulting. His programme work spans practical AI adoption, AI engineering, evaluation, responsible production AI, data analytics and corporate learning design, with an emphasis on hands-on exercises connected to workplace tasks.
Expertise:
AI & Machine Learning Trainer, Strategist and Consultant
Junaid is an AI and machine-learning trainer, strategist and consultant with more than 22 years of training experience. His work combines enterprise AI education, business-centred adoption, responsible AI practices and applied solution design, helping professional audiences connect AI concepts to real organisational needs.
M.E. in Computer Engineering, specialising in Artificial Intelligence · author of programming books on Python, Java and C++
Expertise:
Technical Trainer & Curriculum Architect
Pradeep is a technical trainer and curriculum architect with more than 20 years of experience across enterprise technology, cloud infrastructure and advanced AI systems. He designs practitioner-focused programmes, labs and assessments covering AI, LLM systems, Python and machine learning, translating complex technical subjects into structured learning experiences.
Bachelor of Engineering in Electrical Engineering · instructor-led, virtual and blended delivery
Expertise:
The proposal names or confirms the trainer assignment for the engagement; every trainer shown here does not teach every programme.
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Published answers define the page scope. A written proposal records engagement-specific terms.
Each session runs 3 hours, live online. The invitation for a confirmed session sets out the agenda and joining details; there is no fee.
A session explicitly confirmed as free has no training fee. Registration of interest creates no payment obligation, but it also does not guarantee a date or seat. Any account, internet or optional provider charges remain the participant’s responsibility.
No date is assumed on this page. Register interest and Technovids will share the schedule only when a session is confirmed.
Not by default. The confirmed invitation states whether a recording, LMS access, material or certificate is included. The free introduction should not be confused with the full Claude course.
No for the introductory prompting and workplace examples. Claude Code, APIs and MCP require a separate technical pathway and suitable development foundations.
Do not enter confidential, personal, regulated, client-owned or restricted information unless your organisation has approved the account, purpose and handling. Use safe practice material in a public introduction.
The full course can provide structured practice across workplace workflows and, for suitable technical learners, Claude Code, connectors and MCP concepts. Its confirmed page and enrolment terms define the exact scope.
2nd Floor, Chandrodaya Complex, 19/19, 24th Main Rd, near Hanuman Temple, Agara Village, 1st Sector, HSR Layout, Bengaluru, Karnataka 560102.
Please contact us before visiting the head office. The HSR Layout address is a head office, not a walk-in public classroom.