One cloud or several?
Go deep on the cloud your team runs. Use multi-cloud training to compare platforms, set common rules and keep options open.
Private cloud training · India-wide delivery
AWS, Azure & GCP Cloud Training for Corporate Teams in Bangalore
Build the cloud skills each role needs on AWS, Microsoft Azure, Google Cloud or more than one, through guided scenarios and hands-on practice.
- Platforms
- AWS, Microsoft Azure and Google Cloud
- Audience
- Engineering, DevOps, data, IT and architects
- Delivery
- Private, live online or at your office
- Scope
- Role, platform and goal agreed first
Direct answer
What is AWS, Azure & GCP Cloud Training?
Technovids cloud training is private, trainer-led training for company teams working with AWS, Microsoft Azure, Google Cloud or a mix of clouds. It can cover cloud basics, architecture, administration, security, DevOps, data, cost control or preparation for a certification. We shape it around each role and starting level, and deliver it live online or at your office, as agreed in the proposal. Certification-focused training helps people prepare, but exams, vouchers and pass results are not included unless the proposal says so. It is AWS, Azure and GCP training for companies that run, or plan to run, workloads in the cloud.
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Who this page is for
Relevant audiences
- Developers and platform engineers running cloud workloads
- IT admins and operations teams managing cloud resources
- Data and analytics teams using cloud services
- Architects, security teams and tech leads making platform choices
Useful when
- A cloud migration needs a shared design and way of working
- Engineers need hands-on platform skills, not just the theory
- A team is preparing for a current vendor certification
- Using several clouds needs clearer decisions on identity, cost and rules
Scope boundary: This page does not present Technovids as an authorised training partner of AWS, Microsoft or Google. Labs, accounts, subscriptions, vouchers and exam fees are agreed separately in the written proposal.
Decision guide
Plan cloud training around a role and what it is responsible for
A list of services is not a course. Start with what your people must design, build, secure or run.
Basics or role depth?
Keep shared cloud basics apart from practice for admins, developers, architects, DevOps, security or data engineers.
Certification or skills at work?
Exam objectives can give learning a structure. Your own scenarios show whether people can do the job.
Whose lab account?
Agree the sandbox, temporary lab or your own account, permissions, cost controls and clean-up before training starts.
Hands-on cloud practice
Build, check and explain, not just follow a console tour
The scenarios we choose depend on the platform, the role, the setup and the time available.
Identity and access
Map users, workloads, roles and the least access each one needs.
- Practise
- Review an access path, a denied action, an escalation and the audit trail.
- Control
- Training passwords and keys are never used in live systems.
Network and workload design
Place compute, storage, data and connections inside a clear design.
- Practise
- Explain trust boundaries, availability, routing and what you assume can fail.
- Control
- A lab diagram needs your own architecture and security review before you use it.
Deployment
Move a small app or infrastructure change through a repeatable path.
- Practise
- Use documented commands, pipeline steps or infrastructure as code, and review how to roll back.
- Control
- The practice setup does not approve any change to live systems.
Monitoring and incidents
Set up logs, metrics and alerts, and work through a small troubleshooting exercise.
- Practise
- Trace a failure, spot missing signals and decide who handles escalation.
- Control
- A dashboard does not replace a tested way of working.
Resilience and recovery
Compare availability, backup and recovery options against business needs.
- Practise
- Write down the failure, the recovery target, how you will test it and what it depends on.
- Control
- Claims about resilience need tests in the real environment.
Cost and resource control
Check billable resources, usage, tags, budgets and clean-up.
- Practise
- Estimate one scenario, set an alert and remove unused practice resources.
- Control
- Training examples do not promise lower cloud bills.
Options
Choose a cloud route
Programmes can be combined once prerequisites and lab arrangements are clear.
AWS team training
Practice for each role in AWS architecture, operations, development, security or data.
Best for: Teams running or moving to Amazon Web Services
- Scope by role
- Hands-on scenarios
- Current AWS references
Microsoft Azure team training
Build Azure skills in administration, architecture, apps, data or governance.
Best for: Enterprise teams that work mainly with Microsoft
- Azure services and identity
- Labs for each role
- Current Microsoft Learn objectives
Google Cloud team training
Build Google Cloud skills for engineering, data, AI, operations or architecture.
Best for: Teams building on Google Cloud
- Cloud and data tasks
- Hands-on practice
- Current Google learning paths
Multi-cloud design and FinOps
Compare rules, where workloads should run, how portable they are and how costs are managed across clouds.
Best for: Architects, platform teams and tech leads
- A way to decide
- Identity and ways of working
- Seeing costs clearly
Certification training versus training for your own work
Many companies need both, but they answer different questions.
| Decision point | Certification-focused | Based on your own work |
|---|---|---|
| Main aim | Cover what the current exam tests, with practice | Do the agreed parts of the job, in your setting |
| Built around | The vendor’s current exam objectives | Your own architecture and tasks |
| Evidence | Knowledge checks and practice tests | Labs, design decisions and operations exercises |
| Important limit | Training does not guarantee an exam pass | Lab work does not approve changes to live systems |
Practical value
What a well-planned cloud programme should produce
The evidence depends on the role. An admin, a developer and an architect should not leave with the same piece of work.
Shared cloud language
Everyone can explain the core services, who is responsible for what and the main platform choices.
Hands-on scenarios completed
The team can build, check, troubleshoot or run the agreed tasks in a safe environment.
Security and cost habits
Identity, secrets, logs, billable resources and clean-up stay in view during practice.
A map of next skills
Gaps we spot link to role paths, projects, official learning or further training.
Method
From your training need to skills used at work
Before training starts, a written proposal ties together the business need, who is attending, the practice and how it will be delivered.
- 01
Talk to our L&D lead
Chandan asks about the business need, the roles involved, location, dates and what should change afterwards.
- 02
Expert check
A subject expert checks the starting level, approved tools, examples, practice data, risks and technical needs.
- 03
Written proposal
It confirms the agenda, format, length, group size, what is and is not included, the venue and the price.
- 04
Trainer-led sessions
Explanations and demos, then practice for each role, feedback and review by the person responsible.
- 05
Handover and next step
You receive the agreed materials, completion details and our suggestions for what to do next, as set out in the proposal.
What the cloud proposal confirms
Lab and platform details are commercial and security decisions, so we agree them rather than assume them.
Roles and starting point
What each role is responsible for, current skills, prerequisites and the target level.
Platform and lab design
Cloud, services, accounts, permissions, datasets, costs, clean-up and technical support.
Agenda and evidence
Modules, scenarios, outputs, assessments and what is out of scope.
Delivery and what is included
Format, schedule, venue, group size, materials, certificate terms, travel and price.
Safe application
Cloud practice covers cost, access and change control
Hands-on work only helps when people can explain what they built, who can reach it and how to remove it or run it safely.
Least access needed
Labs keep identity, roles, resources and permissions separate, instead of sharing wide-open logins.
Costs in view
Everyone can name the billable resources, budgets, alerts, shut-down steps and who pays for the lab.
Changes you can repeat
Settings, infrastructure as code or written steps make every change easy to check and repeat.
Someone owns the running
Monitoring, backup, security, recovery and escalation are part of the design from the start.
Primary sources
Official platform learning references
Certification objectives and cloud services change. Final agendas are checked against the vendor’s current documentation before delivery.
Training in action
See Technovids training in practice
Real photos from Technovids training sessions. They show how we teach, not a promised result for your group.
Photo 1 of 10: Hands-on session 
Photo 2 of 10: Group photo 
Photo 3 of 10: Hands-on session 
Photo 4 of 10: Group photo 
Photo 5 of 10: Classroom session 
Photo 6 of 10: Group photo 
Photo 7 of 10: Computer-lab session 
Photo 8 of 10: Group photo 
Photo 9 of 10: Classroom session 
Photo 10 of 10: Group photo
Trainers
Meet the Technovids trainer panel
We choose the trainer once we know who is attending, how deep the subject goes and how it will be delivered.
Pankaj Rana
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:
- Practical AI adoption
- Prompting and evaluation
- Responsible AI
- Corporate learning design
Junaid Khateeb
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:
- Enterprise AI and ML training
- AI strategy and adoption
- Responsible AI
- Applied AI solution design
Pradeep Varadarajan
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:
- AI and LLM systems
- Curriculum architecture
- Python and machine learning
- Hands-on lab design
Your proposal names the trainer. Not every trainer shown here teaches every programme.
To book a trainer for your team, call +91 86183 46384 or email [email protected].
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Client & participant proof
Training delivery evidence you can inspect
Feedback from learners, shared with permission, and photos from our sessions show how we teach. They do not guarantee a job, a certification or a project result.
Organisations we have delivered training for
Hands-on training for people and teams in AI, data, cloud, productivity and workplace skills.
Participant voice
Participant experiences across workplace roles
What people we trained found useful in their day-to-day work.
- Rahul DesaiSenior Software Engineer
I had been trying to transition from traditional backend development to Generative AI, but self-learning was getting overwhelming. The AI Engineering course at Technovids gave me the exact structured roadmap I needed. The modules on LLM architectures and practical prompt engineering are brilliant. It’s not just theory; you actually build functional AI applications. Highly recommend this for working professionals looking to upgrade their tech stack.
- Priya NatarajanData Scientist
Finding a course that goes deep into Retrieval-Augmented Generation (RAG) is surprisingly hard. Most just scratch the surface. Technovids delivered an incredibly detailed deep dive into RAG pipelines, LangChain, and LlamaIndex. The hands-on projects helped me understand how to manage vector databases and chunking strategies effectively. It’s easily the most practical Generative AI training I’ve taken.
- Amit SharmaTechnical Lead
If you want to understand agentic AI, this is the course to take. The instructor did a fantastic job breaking down complex topics like LangGraph and cyclical agents, which are rarely covered well in other bootcamps. Learning how to orchestrate multiple AI agents to solve complex workflows has completely changed how I approach architecture at my current job. Worth every penny.
- Sneha ReddyFull Stack Developer
What I loved most about the Technovids GenAI program is how up-to-date the curriculum is. Instead of outdated practices, we learned to integrate the Model Context Protocol (MCP) and practically apply tools like Claude and Cursor for AI-assisted coding. It felt like I was learning the exact skills that top tech companies are hiring for right now. The pace is perfect, and the support is great.
- Neha GuptaBackend Developer
I was initially intimidated by the math and complexity behind AI, but the trainers at Technovids explain things in such an accessible way. They break down everything from basic prompt engineering to complex integrations without losing you in the jargon. The session recordings and project materials are top-notch. If you are serious about becoming an AI Engineer, Technovids provides the perfect launchpad.
- Anjali VermaSystems Analyst
I didn't want a purely academic course; I wanted to code. Technovids pushes you to actually build things. The curriculum is heavily focused on real-world use cases, ensuring you know how to build robust, scalable applications using LangChain and advanced AI models. It’s intensive, fast-paced, and exactly what the current job market demands.
Frequently asked questions
These answers cover what this page offers. Your written proposal sets out the terms for your own programme.
Does Technovids provide AWS, Azure and Google Cloud training?
Yes. A private programme can focus on one cloud or an agreed mix. The proposal names the roles, starting level, services, labs and the evidence you can expect.
Is this official vendor-authorised training?
This page does not claim that Technovids is an authorised training partner of AWS, Microsoft or Google. The programme can follow current official learning objectives while staying Technovids-delivered corporate training.
Are certification exams or vouchers included?
Only when the written proposal says so. Certification-focused training helps people prepare, but it does not include or guarantee an exam, voucher, credential or pass by default.
Who provides the cloud lab environment?
We agree the lab setup with you before delivery. It may be a safe sandbox of yours, learner accounts or another approved environment. Permissions, charges, data, support and clean-up are written down.
Can cloud training be delivered onsite?
Yes. Private training can run live online or at your office anywhere in India, when agreed. The proposal sets out the venue, connectivity, travel, facilities and price.
How is the curriculum kept current?
We check the agreed agenda against the vendor’s current documentation, any relevant certification objectives and your own platform. Anything tied to a specific version is stated, not treated as permanent.
Talk to Technovids
Get a training proposal for your team
Tell us who the training is for, roughly how many people, and what you want them to do better at work. The Technovids team will scope it and reply with a written proposal.
Request received
Thank you — your request has been sent to the Technovids corporate training team. If you would rather speak to someone directly, the phone and WhatsApp details are at the top and bottom of this page.
Technovids Consulting
Bengaluru head office. India-wide live delivery.
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.