Cloud Computing Course in Kanjurmarg, Mumbai with Placement

Why both sides of this station share one cloud room

Kanjurmarg East and Kanjurmarg West do not get two cloud computing classrooms. They share the labs at Lodha Supremus in Chandivali, Powai. The station sits on the central line, and the argument people actually have is which platform to open first, not which building to invent. West faces the Powai side by local roads toward JVLR. That geography is real, and it still is not a walk to the campus. A map that looks close at evening scale is not a reason to skip the published address. East uses the same station and the same seat. If you live on one side and work on the other, you still book one batch. The batch you join is still the Powai cloud seat.

Choosing a first cloud is the useful argument. AWS, Azure and GCP are all on the syllabus, and a reader who has not picked a vendor yet should say that on the phone instead of pretending the estate of the station decides it. Some people already have a work login on one console and only need the other two for comparison. Some people have never created a user, a subnet or a bucket. Those are different first hours, inside the same room. Call 083695 18569, name east or west only as the origin of the trip, and name the console you want to see on day one. The counsellor can then say which open seat matches that start.

Which cloud to start when you are still choosing

Start on AWS if nobody at work has handed you a cloud login and you want the widest set of nouns first: identity, a machine, a disk, a balancer, object storage, a private network and a database. Start on Azure if your week already runs through Microsoft sign-ins and Entra ID will feel like a continuation rather than a new alphabet. Start on GCP if a team near you deploys on Google Cloud and you need Compute Engine, firewall rules and GKE to be fluent before you collect the other two. None of those starts cancels the other consoles. It only decides the first stretch, and only when the open batch allows a single-cloud schema.

Amit Mishra is the mentor to name if your question is architectural rather than a single button. He is a delivery solution architect at Databricks, with 18+ years across AWS, Azure and GCP, including hybrid estates and migration. The profile is an architecture and data role, not a DevOps job title. Databricks is his employer on that profile. It is not an endorsement of this batch, and it is not a statement that Databricks hires from Kanjurmarg East or West. Use his background as a way to ask for multi-cloud design in the lab, then confirm who is actually teaching the seat you join. Ask for the open cloud seat, not a title he does not use. The phone remains 083695 18569.

What the AWS stretch contains if AWS is your start

If AWS is the first console, treat it as a complete small estate rather than a tour of icons. IAM is the gate: users, groups and a policy that is narrower than the account root. Only after that do you launch EC2, attach EBS, and place a load balancer in front so the sample site is not one instance with a public dare. S3 takes the files, with versioning so a bad upload can be walked back. The network is a VPC cut into subnets, with route tables that say which subnet may speak to the internet and a NAT path for the private side. Security groups are the instance doors. This is the west-side reader's same lab as the east-side reader's. JVLR does not change the buttons.

Data and operations close the AWS stretch. RDS holds the relational data for the sample application. DynamoDB is mentioned so you can tell a key-value store from a table with joins, not so you can claim a second specialty on the way home. CloudWatch is the alarm clock. CloudTrail is the record of who changed the stack. CloudFormation writes the stack down so the next rebuild is a file, not a memory. The published finish line is a sample application deployed on AWS from end to end. Say that sentence back in your own words before you ask to switch consoles. If the open seat is only the 40-hour schema, ask whether that finish line is inside it or only inside the longer flagship.

What changes when Azure is the console you already live in

Azure, as a first or second console, starts where Microsoft already put identity. Entra ID users, groups and roles come before you congratulate yourself on finding the portal. Virtual machines are the compute, with availability options discussed so a single VM is not mistaken for a resilient service. Virtual networks and subnets are the address plan. Network security groups are the filter, and you should be able to say how an NSG differs from the security group you wrote on AWS if you have already done that pass. Storage accounts hold the objects and disks this console prefers to name in its own way. East and west do this in the same Chandivali room. Say the comparison aloud before you leave the lab.

App Service is the path for an application when you do not want to nurse a virtual machine. AKS is Azure Kubernetes Service, the cluster step, taught so the name is not a mystery when a job description uses it. Azure DevOps pipelines are how a change moves from a commit toward a release without a person copying folders. Azure Monitor is how you look afterwards. Log Analytics sits with that monitoring story on the course page. You leave able to provision machines and networks, control access, deploy, build a pipeline and watch it. If your office login is already Azure and the other two clouds are the gap, say so. The batch is not labelled by which side of the station you board from.

When GCP is the right first hour from this station

Pick GCP first only if that is the console you must defend at work, or if you want Google's names while they are still unfamiliar. The opening is the console and gcloud, then IAM, because a brand-new project with an owner-level key is a bad habit to import from either side of the station. Compute Engine is the virtual machine. The VPC gives you subnets and firewall rules, and those firewall rules deserve a spoken comparison with security groups and NSGs once you have seen them. Cloud Storage is the object shelf. None of this requires a claim that you can stroll from the west side, along JVLR, into the lab. You cannot. The reliable arrival is still the train.

GKE is the cluster on Google Cloud. Cloud Build is the step that turns a source change into a deployment you can repeat. Cloud Monitoring, with logging beside it, is how you tell a healthy workload from a quiet failure. Outcomes to be able to show are: a Compute Engine instance you launched, a VPC you can sketch, a deployment on GKE, a build you did not click by hand, and a monitoring view you can read. If you started on AWS or Azure, this pass is the comparison, not a rival course in another suburb. Ask 083695 18569 whether the seat you are offered includes this third console or stops after one. Bring the question before you buy the ride.

How long the seat is, and which one you are asking for

The catalogue publishes two lengths and they answer different questions. A single cloud schema is 40 hours. The flagship classroom is four months and 160 hours. Someone on the east side who wants only Azure administration is not automatically in the flagship, and someone on the west side who wants all three clouds plus the wider room is not automatically in the short schema. Ask which seat has places. About 80% of a session is spent doing the lab rather than watching it. That ratio is an institute description of teaching, not a timer you can quote as your personal attendance. Weekday and weekend batches both exist. A clock grid is not printed. Confirm the hours you can keep.

Eligibility is basic computer skills, with fundamentals first. Freshers and working professionals are both named. Vendor exam badges, if you want them later, are booked with Amazon, Microsoft or Google. This classroom does not issue those badges. A price is not printed here, so do not invent one from a neighbour's memory of a different year. The decision this station page exists to force is simpler: which console first, and which length. Phone 083695 18569 with those two answers ready. Add east or west so the person on the phone knows you understood there is one campus, not a lab hiding on each platform of the station. Write those answers down before you dial, so the call stays short.

Why the rail path is the reliable way to the labs

Local roads from the west side toward JVLR point at Powai, and residents use them for other errands. They are not a published walking route to Lodha Supremus, and this page will not draw one. The reliable rail path is the central line to Ghatkopar, then Metro Line 1 toward Versova. On that metro the stops before Saki Naka are Jagruti Nagar and Asalpha. Leave at Saki Naka. Saki Vihar Road is the last mile to the building. East-side riders use the same change. There is no east campus and no west campus. There is no minute count on this page, because a minute count would pretend the central line is a private shuttle. Saki Naka is an arrival, not a second campus.

The address to save is Lodha Supremus, B 1307, Saki Vihar Road, Tunga Village, Chandivali, Powai, Mumbai 400072. If you wanted the pipeline, container and infrastructure-file course instead of the three consoles, the page already on this domain is /devops-course-in-kanjurmarg. Use that URL when delivery tooling is the gap. Stay on this cloud page when the gap is still which vendor to learn first. Ghatkopar's own classroom, if you decide the change of train is a reason to study there instead, is on https://devopsinstitutemumbai.co.in/devops-institute-ghatkopar/. It is a different address. Do not merge the two brochures in one sentence to a parent. Tunga Village is the locality on the address if a driver asks which Chandivali lane you mean.

What placement language is safe to repeat from either side

Placement support does not split by platform of the station and does not split by cloud. The published lines are 450+ placed, 100% Placement and 360° Placement Assurance, plus 350+ hiring partners. The range printed with them is 5–35 LPA. There is no cloud-only total to add, and no east-side total either. Resume support, mock interviews and career guidance are the activities. Hiring partners are a count, not a list of firms you may promise to a neighbour. If a coaching chat adds a company name, that name did not come from this page. The figures stay the same whether you board on the JVLR side or the other one. Read the placement page before you repeat the range to family.

Reviews are counted separately from placement. The published rating is 4.7 from 130 Google reviews. The profile to open is https://maps.app.goo.gl/5hUDHH1WjKevbkQz8. Quotations are not copied here. Affiliations appear once, as words and not as logos: the institute is tied to NASSCOM and IBM, to Govt. of India (MEITY), to IIT Patna, and to a collaboration between IIT and Microsoft. Those are institute facts. They are not a partnership with a housing society on either side of the station. When you call 083695 18569, ask for the cloud seat length first and the placement sheet second, so the two conversations do not blur into a promise nobody printed. Open the profile yourself before you trust a caller's version of the rating.

What to decide before you leave either side of the station

Decide the console and the length before you debate the road. If you are still choosing, use the table on this page as the conversation starter, not as an enrolment. AWS first means identity through a sample application. Azure first means Entra ID before virtual machines. GCP first means IAM, Compute Engine and a firewall you can draw. The flagship is the 160-hour, four-month room. The individual schema is 40 hours. Amit Mishra's multi-cloud architecture background is the mentor note for people who want the comparison itself. His Databricks role is not a DevOps title and not a hiring desk for this batch. Employer names on mentor profiles are context for the kind of work, not a placement list and not a batch assignment.

Then decide the journey with the rail, not with a rumour of a short walk from the west. Central line, Ghatkopar, Metro Line 1, Jagruti Nagar, Asalpha, Saki Naka, Saki Vihar Road, Lodha Supremus. Say that chain once so you know you are not hunting a classroom beside the station footbridge. Weekend batches exist when the central-line day is already long, and weekday batches exist when your hours allow them. Phone 083695 18569. Tell them east or west, the console you want first, and whether you are a fresher or already supporting a system. Leave JVLR as a direction you understand, not as a path this page measured. The building does not move to the station because a map looks kind.

Frequently asked questions

Do Kanjurmarg East and Kanjurmarg West share the same cloud course?

Yes. Both sides use one cloud computing seat at Lodha Supremus in Chandivali. The station is on the central line. West faces Powai by local roads toward JVLR, which is not a walk to the lab. The reliable path is the central line to Ghatkopar, then Metro Line 1 to Saki Naka. AWS, Azure and GCP are the consoles. Call 083695 18569.

Which cloud should a Kanjurmarg reader start with?

Start on AWS if you have no cloud login and want identity, compute, storage and a network in one pass. Start on Azure if Microsoft sign-ins are already your week. Start on GCP if you must be fluent on Google Cloud first. Amit Mishra's background is multi-cloud architecture at Databricks, 18+ years, and it is not a DevOps title. Confirm the open batch on 083695 18569.

What AWS labs does the Kanjurmarg cloud page include?

IAM, then EC2 with EBS and load balancing, then S3. The network is a VPC with subnets, route tables, NAT and security groups. RDS is the relational database and DynamoDB is named as the key-value option. CloudWatch, CloudTrail and CloudFormation follow. You finish with a sample application deployed on AWS from end to end. East and west attend that lab in Chandivali, not in a room at the station.

How is Azure covered for Kanjurmarg East and West?

Entra ID users, groups and roles open the Azure pass. Virtual machines, virtual networks, subnets and network security groups come next, with storage accounts. App Service is the simpler application path. AKS is the cluster. Azure DevOps pipelines move a release, and Azure Monitor is how you watch it. Both sides of the station study this at Lodha Supremus. The buttons do not change because you live toward JVLR.

What GCP work is on the Kanjurmarg cloud seat?

The GCP pass uses the console and gcloud, IAM, Compute Engine, VPC firewalls and Cloud Storage. GKE is the cluster and Cloud Build is the repeatable build. Cloud Monitoring is how you observe the workload. Treat it as the third comparison, or as the first console if your team already deploys there. Ask 083695 18569 whether your seat includes this pass or is a shorter single-cloud schema.

Is the Kanjurmarg cloud course forty hours or four months?

Both lengths are published, and they are different seats. Individual cloud schemas list 40 hours. The flagship lists four months and 160 hours. About 80% of a session is hands-on. Weekday and weekend batches exist, without a printed timetable. This page will not pick for you. A price is not printed. Call 083695 18569 and say which length you are asking to join.

Can someone walk from Kanjurmarg West to the cloud lab?

No walk is published. West faces the Powai side by local roads toward JVLR, and that direction is easy to misunderstand as a stroll. The reliable arrival is rail: central line to Ghatkopar, Metro Line 1 toward Versova, off at Saki Naka after Jagruti Nagar and Asalpha, then Saki Vihar Road to Lodha Supremus. East uses the same change. No minute count is printed.

What placement lines apply to a Kanjurmarg cloud student?

The institute lines, not a cloud-only total. You may repeat 450+ placed, 100% Placement, 360° Placement Assurance, 350+ hiring partners and 5–35 LPA. Resume support, mock interviews and career guidance are the activities. East and west are not separate quotas. Reviews to check are 4.7 from 130 Google reviews at https://maps.app.goo.gl/5hUDHH1WjKevbkQz8. This page does not paste quotations.

Who should a Kanjurmarg caller ask about if the question is multi-cloud design?

Amit Mishra. He is a delivery solution architect at Databricks, with 18+ years in multi-cloud and hybrid architecture across AWS, Azure and GCP. That is not a DevOps job title. Naming Databricks does not mean the firm endorses the batch or assigns seats to either side of the station. The class is still at Lodha Supremus. Call 083695 18569 and ask who teaches the open seat.

What should a Kanjurmarg caller say about the cloud batch?

Say which side of the station you start from, which console you want first, and whether you mean the 40-hour schema or the 160-hour flagship. Say you will use Ghatkopar and Saki Naka rather than a walk from JVLR. The number is 083695 18569. Ask for AWS, Azure and GCP if you want the comparison. Do not expect a price or a journey time to be read from this page.