Full Stack, DevOps and agentic AI, for students, working engineers, colleges and teams.
Start with the public courses and build your first projects.
Join a live session →Mentor-led courses on a project of your own or ours.
A student bootcamp on campus or online, with faculty briefing.
Training for your engineering team, built around your own work.
Each one starts from an app you already understand.
The app you know: A service-desk app where tickets queue up for people to sort and answer.
As an agent: An agent that classifies each ticket, drafts a reply and escalates the hard ones, with a person approving before anything is sent.
Amazon Bedrock · AWS Lambda · Amazon DynamoDB
The app you know: An order-tracking app that customers check, then email support about.
As an agent: A support agent that answers from your policy documents, cites the clause it used and says so when it does not know.
Amazon Bedrock Knowledge Bases · Amazon S3 · AWS Lambda
The app you know: An invoice upload form that someone then reads and keys in by hand.
As an agent: An agent that reads each uploaded invoice, pulls out the fields, flags what looks wrong and routes it for sign-off.
Amazon Textract · Amazon Bedrock · AWS Step Functions
The app you know: An HR policy portal where staff search long documents for one answer.
As an agent: An employee assistant that answers from the current policies, shows its source and hands off to HR when the question is personal.
Azure OpenAI · Azure AI Search · Azure Functions
The app you know: An ops dashboard that shows an alert and leaves the digging to whoever is on call.
As an agent: An agent that reads the logs, explains the likely cause and proposes a fix that an engineer approves before it runs.
Azure OpenAI · Azure Monitor · Azure Logic Apps
The app you know: A feature in an app you already ship, such as search or a form that needs a human to decide.
As an agent: The same feature as an agent that calls tools, remembers context, asks for approval and stays inside guardrails.
Python · Tool calling · Model Context Protocol
The app you know: A prototype that works on your laptop and nowhere else.
As an agent: The same prototype designed for real use: where it runs, how it scales, what it costs, how it is watched and audited.
AWS · Reference architectures · Decision records
The app you know: A help desk where agents search old tickets and write the same replies again.
As an agent: A copilot that suggests the reply from past tickets and your knowledge base, and a person decides what goes out.
Python · Retrieval · Human approval
Have a web app of your own, or your team's? Tell us what it does and we shape the agent version with you.
Earlier participant feedback
Feedback from earlier TechEazy DevOps internship participants, edited only for clarity without changing meaning.
“My internship with TechEazy Consulting was enriching and insightful. Working on real-world projects strengthened my technical and problem-solving skills. The team was supportive, approachable, and always willing to share knowledge. The trust placed in interns to own tasks helped me grow. More structured feedback sessions could make the learning process even better.”
“Every week, we received assignments and regular reviews. Those sessions helped us stay on track, clear doubts, and improve step by step. The final mock interview felt realistic and helped build confidence while showing me where to improve. More collaborative, real-time case studies would make it even more engaging.”
“During my one-month DevOps internship, I delivered tasks including EC2 deployment automation, multi-stage CI/CD pipelines, and AWS integrations using Terraform and Bash. The structured format—five clearly defined tasks and regular scrum meetings—gave me hands-on experience with infrastructure provisioning, monitoring, and automation. Project presentation sessions also improved my technical communication and problem-solving skills. Although one month was short, the experience strengthened my understanding of real-world DevOps workflows.”
A weekly call and a written review of your project, shaped around your background. Usually the right fit for a career switch.
See one-to-one →Build a project alongside a small cohort, with live sessions and your work reviewed along the way.
See group training →Workshops and courses for engineering teams, onsite in Pune or online, built around your own stack.
See corporate training →Terms are agreed with you before you commit to anything. You only ever owe the current month.
5 free courses · no sign-in
Every session is public: open a course and start. Nothing to sign up for, nothing to pay.
8 sessions · self-paced · read online
Eight hands-on sessions on AWS for freshers: a safe account, permissions, storage, servers, networks, a database and serverless code, ending in a small app you deploy and then tear down.
8 sessions · self-paced · read online
Eight sessions on how language models really behave: tokens and sampling, cost and latency, prompts and context, structured output, choosing a provider, and using AI responsibly.
8 sessions · self-paced · read online
Eight sessions on retrieval-augmented generation: embeddings and vector search, grounded answers with citations, why retrieval fails, evaluation suites and catching hallucinations.
11 sessions · self-paced · read online
Eleven sessions on agents that take real actions: tool calling, the Model Context Protocol, the agent loop, memory, access control, human approval and guardrails, ending in a capstone feature.
9 sessions · self-paced · read online
Nine sessions on running AI systems for real: where models run, reference architectures, scaling, cost, observability and audit, ending in a design you defend with decision records.
Judge the teaching before you pay for any of it.
Guest sessions, faculty collaboration, and campus events — we work directly with colleges to bring this curriculum on-campus.
Join a demo class, watch a project get built, and ask what is blocking you. Then decide whether it is the right fit.