
Cloud Infrastructure|Cybersecurity AI & ML (45 Days – Live Hands‑On)
AI & ML (45 Days – Live Hands‑On)
Program Fee: ₹25,000
Duration: 45 Days
Mode: Hybrid (Online Sessions + Live Lab Access)
Eligibility: Freshers, Final‑Year Students, and Career Switchers
About the Internship
This intensive 45‑day internship program is designed for freshers who want to build strong, industry‑relevant skills in Cloud Infrastructure, Cybersecurity, and AI/ML model development. The program offers live production hands‑on training, allowing interns to work on real-world architectures, security workflows, and AI/ML deployments.
Participants will receive end‑to‑end exposure to modern cloud platforms, DevOps practices, security operations, and machine learning deployment, making them job‑ready for roles like:
- Cloud/Infra Engineer
- DevOps Engineer
- Security Analyst
- AI/ML Engineer
- Site Reliability Engineer (SRE)
Key Highlights
- 45 days of practical, mentor-led training
- Live production-style projects and deployments
- Hands‑on experience with:
- AWS / Azure Cloud
- Terraform, CI/CD, Docker, Kubernetes
- Security Hardening & IAM
- Python ML pipelines & model deployment
- Architect & deploy real systems using best practices
- Build portfolio-ready projects
- Receive an industry-recognized Internship Certificate
What You Will Learn
1️⃣ Cloud Infrastructure & DevOps
- Cloud fundamentals (AWS/Azure/GCP)
- Linux administration & scripting
- VPC, Subnets, Routing, NAT, Firewalls
- EC2 provisioning & autoscaling
- Load balancing & High Availability
- Terraform for Infrastructure as Code
- CI/CD pipelines using Jenkins / GitHub Actions
- Docker containerization & Kubernetes basics
2️⃣ Cybersecurity & Cloud Security
- IAM roles, policies, access control
- Server security & hardening
- SSL/TLS, encryption, key management
- Secure VPC & subnet design
- Threat detection & logging
- Secrets management
- Network segmentation & firewall best practices
3️⃣ AI & Machine Learning
- Python for ML
- Supervised and unsupervised algorithms
- Data preprocessing & model training
- Model evaluation & optimization
- Build ML inference APIs using FastAPI/Flask
- Containerize and deploy ML models to cloud
- Integrate monitoring for ML workflows
✅ Live Hands‑On Projects
Interns will work on real-world, production-grade projects such as:
- Deploy a secure 3‑tier web application on cloud
- Automate infra provisioning using Terraform
- Build CI/CD pipelines for automated deployments
- Harden servers & configure security groups, IAM
- Develop and deploy an ML model as a cloud API
- Create monitoring dashboards with Prometheus/Grafana
- End-to-end system deployment with logging and alerting
Each intern will complete a Capstone Project and present it during the final evaluation.
✅ Internship Deliverables
- Internship Completion Certificate
- 3+ Production‑level projects
- GitHub portfolio with all code and deployments
- Cloud & ML documentation
- Resume enhancement and guidance
- Career mentoring + interview preparation
✅ Who Should Apply
This internship is ideal for:
- Fresh graduates
- Final‑year engineering or IT students
- BSc, BCA, MCA, B.Tech learners
- Professionals switching careers to Cloud/DevOps/AI
- Anyone seeking hands‑on, real‑time industry experience
✅ Program Fee
₹25,000/- (includes training, labs, live‑project access, certificate, and mentorship)
✅ Certificate Provided
All participants will receive a verified Internship Certificate, including:
- Candidate Name
- Internship Duration & Dates
- Skills Covered
- Project Evaluation Score
- Authorized Signatory & Company Seal

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What the role needs
● Review of current DevOps infrastructure & redefine code merging strategy as per product roll out objectives
● Define deploy frequency strategy based on product roadmap document and ongoing product market fit relate tweaks and changes
● Architect benchmark docker configurations based on planned stack
● Establish uniformity of environment across developer machine to multiple production environments
● Plan & execute test automation infrastructure
● Setup automated stress testing environment
● Plan and execute logging & stack trace tools
● Review DevOps orchestration tools & choices
● Coordination with external data centers and AWS in the event of provisioning, outages or maintenance.
Requirements
● Extensive experience with AWS cloud infrastructure deployment and monitoring
● Advanced knowledge of programming languages such as Python and golang, and writing code and scripts
● Experience with Infrastructure as code & devops management tools - Terraform, Packer for devops asset management for monitoring, infrastructure cost estimations, and Infrastructure version management
● Configure and manage data sources like MySQL, MongoDB, Elasticsearch, Redis, Cassandra, Hadoop, etc
● Experience with network, infrastructure and OWASP security standards
● Experience with web server configurations - Nginx, HAProxy, SSL configurations with AWS, understanding & management of sub-domain based product rollout for clients .
● Experience with deployment and monitoring of event streaming & distributing technologies and tools - Kafka, RabbitMQ, NATS.io, socket.io
● Understanding & experience of Disaster Recovery Plan execution
● Working with other senior team members to devise and execute strategies for data backup and storage
● Be aware of current CVEs, potential attack vectors, and vulnerabilities, and apply patches as soon as possible
● Handle incident responses, troubleshooting and fixes for various services
Classplus is India's largest B2B ed-tech start-up, enabling 1 Lac+ educators and content creators to create their digital identity with their own branded apps. Starting in 2018, we have grown more than 10x in the last year, into India's fastest-growing video learning platform.
Over the years, marquee investors like Tiger Global, Surge, GSV Ventures, Blume, Falcon, Capital, RTP Global, and Chimera Ventures have supported our vision. Thanks to our awesome and dedicated team, we achieved a major milestone in March this year when we secured a “Series-D” funding.
Now as we go global, we are super excited to have new folks on board who can take the rocketship higher🚀. Do you think you have what it takes to help us achieve this? Find Out Below!
What will you do?
• Define the overall process, which includes building a team for DevOps activities and ensuring that infrastructure changes are reviewed from an architecture and security perspective
• Create standardized tooling and templates for development teams to create CI/CD pipelines
• Ensure infrastructure is created and maintained using terraform
• Work with various stakeholders to design and implement infrastructure changes to support new feature sets in various product lines.
• Maintain transparency and clear visibility of costs associated with various product verticals, environments and work with stakeholders to plan for optimization and implementation
• Spearhead continuous experimenting and innovating initiatives to optimize the infrastructure in terms of uptime, availability, latency and costs
You should apply, if you
1. Are a seasoned Veteran: Have managed infrastructure at scale running web apps, microservices, and data pipelines using tools and languages like JavaScript(NodeJS), Go, Python, Java, Erlang, Elixir, C++ or Ruby (experience in any one of them is enough)
2. Are a Mr. Perfectionist: You have a strong bias for automation and taking the time to think about the right way to solve a problem versus quick fixes or band-aids.
3. Bring your A-Game: Have hands-on experience and ability to design/implement infrastructure with GCP services like Compute, Database, Storage, Load Balancers, API Gateway, Service Mesh, Firewalls, Message Brokers, Monitoring, Logging and experience in setting up backups, patching and DR planning
4. Are up with the times: Have expertise in one or more cloud platforms (Amazon WebServices or Google Cloud Platform or Microsoft Azure), and have experience in creating and managing infrastructure completely through Terraform kind of tool
5. Have it all on your fingertips: Have experience building CI/CD pipeline using Jenkins, Docker for applications majorly running on Kubernetes. Hands-on experience in managing and troubleshooting applications running on K8s
6. Have nailed the data storage game: Good knowledge of Relational and NoSQL databases (MySQL,Mongo, BigQuery, Cassandra…)
7. Bring that extra zing: Have the ability to program/script is and strong fundamentals in Linux and Networking.
8. Know your toys: Have a good understanding of Microservices architecture, Big Data technologies and experience with highly available distributed systems, scaling data store technologies, and creating multi-tenant and self hosted environments, that’s a plus
Being Part of the Clan
At Classplus, you’re not an “employee” but a part of our “Clan”. So, you can forget about being bound by the clock as long as you’re crushing it workwise😎. Add to that some passionate people working with and around you, and what you get is the perfect work vibe you’ve been looking for!
It doesn’t matter how long your journey has been or your position in the hierarchy (we don’t do Sirs and Ma’ams); you’ll be heard, appreciated, and rewarded. One can say, we have a special place in our hearts for the Doers! ✊🏼❤️
Are you a go-getter with the chops to nail what you do? Then this is the place for you.
Bito is a startup that is using AI (ChatGPT, OpenAI, etc) to create game-changing productivity experiences for software developers in their IDE and CLI. Already, over 100,000 developers are using Bito to increase their productivity by 31% and performing more than 1 million AI requests per week.
Our founders have previously started, built, and taken a company public (NASDAQ: PUBM), worth well over $1B. We are looking to take our learnings, learn a lot along with you, and do something more exciting this time. This journey will be incredibly rewarding, and is incredibly difficult!
We are building this company with a fully remote approach, with our main teams for time zone management in the US and in India. The founders happen to be in Silicon Valley and India.
We are hiring a DevOps Engineer to join our team.
Responsibilities:
- Collaborate with the development team to design, develop, and implement Java-based applications
- Perform analysis and provide recommendations for Cloud deployments and identify opportunities for efficiency and cost reduction
- Build and maintain clusters for various technologies such as Aerospike, Elasticsearch, RDS, Hadoop, etc
- Develop and maintain continuous integration (CI) and continuous delivery (CD) frameworks
- Provide architectural design and practical guidance to software development teams to improve resilience, efficiency, performance, and costs
- Evaluate and define/modify configuration management strategies and processes using Ansible
- Collaborate with DevOps engineers to coordinate work efforts and enhance team efficiency
- Take on leadership responsibilities to influence the direction, schedule, and prioritization of the automation effort
Requirements:
- Minimum 4+ years of relevant work experience in a DevOps role
- At least 3+ years of experience in designing and implementing infrastructure as code within the AWS/GCP/Azure ecosystem
- Expert knowledge of any cloud core services, big data managed services, Ansible, Docker, Terraform/CloudFormation, Amazon ECS/Kubernetes, Jenkins, and Nginx
- Expert proficiency in at least two scripting/programming languages such as Bash, Perl, Python, Go, Ruby, etc.
- Mastery in configuration automation tool sets such as Ansible, Chef, etc
- Proficiency with Jira, Confluence, and Git toolset
- Experience with automation tools for monitoring and alerts such as Nagios, Grafana, Graphite, Cloudwatch, New Relic, etc
- Proven ability to manage and prioritize multiple diverse projects simultaneously
What do we offer:
At Bito, we strive to create a supportive and rewarding work environment that enables our employees to thrive. Join a dynamic team at the forefront of generative AI technology.
· Work from anywhere
· Flexible work timings
· Competitive compensation, including stock options
· A chance to work in the exciting generative AI space
· Quarterly team offsite events
Objectives :
- Building and setting up new development tools and infrastructure
- Working on ways to automate and improve development and release processes
- Testing code written by others and analyzing results
- Ensuring that systems are safe and secure against cybersecurity threats
- Identifying technical problems and developing software updates and ‘fixes’
- Working with software developers and software engineers to ensure that development follows established processes and works as intended
- Planning out projects and being involved in project management decisions
Daily and Monthly Responsibilities :
- Deploy updates and fixes
- Build tools to reduce occurrences of errors and improve customer experience
- Develop software to integrate with internal back-end systems
- Perform root cause analysis for production errors
- Investigate and resolve technical issues
- Develop scripts to automate visualization
- Design procedures for system troubleshooting and maintenance
Skills and Qualifications :
- Degree in Computer Science or Software Engineering or BSc in Computer Science, Engineering or relevant field
- 3+ years of experience as a DevOps Engineer or similar software engineering role
- Proficient with git and git workflows
- Good logical skills and knowledge of programming concepts(OOPS,Data Structures)
- Working knowledge of databases and SQL
- Problem-solving attitude
- Collaborative team spirit
About the job
Our goal
We are reinventing the future of MLOps. Censius Observability platform enables businesses to gain greater visibility into how their AI makes decisions to understand it better. We enable explanations of predictions, continuous monitoring of drifts, and assessing fairness in the real world. (TLDR build the best ML monitoring tool)
The culture
We believe in constantly iterating and improving our team culture, just like our product. We have found a good balance between async and sync work default is still Notion docs over meetings, but at the same time, we recognize that as an early-stage startup brainstorming together over calls leads to results faster. If you enjoy taking ownership, moving quickly, and writing docs, you will fit right in.
The role:
Our engineering team is growing and we are looking to bring on board a senior software engineer who can help us transition to the next phase of the company. As we roll out our platform to customers, you will be pivotal in refining our system architecture, ensuring the various tech stacks play well with each other, and smoothening the DevOps process.
On the platform, we use Python (ML-related jobs), Golang (core infrastructure), and NodeJS (user-facing). The platform is 100% cloud-native and we use Envoy as a proxy (eventually will lead to service-mesh architecture).
By joining our team, you will get the exposure to working across a swath of modern technologies while building an enterprise-grade ML platform in the most promising area.
Responsibilities
- Be the bridge between engineering and product teams. Understand long-term product roadmap and architect a system design that will scale with our plans.
- Take ownership of converting product insights into detailed engineering requirements. Break these down into smaller tasks and work with the team to plan and execute sprints.
- Author high-quality, highly-performance, and unit-tested code running on a distributed environment using containers.
- Continually evaluate and improve DevOps processes for a cloud-native codebase.
- Review PRs, mentor others and proactively take initiatives to improve our team's shipping velocity.
- Leverage your industry experience to champion engineering best practices within the organization.
Qualifications
Work Experience
- 3+ years of industry experience (2+ years in a senior engineering role) preferably with some exposure in leading remote development teams in the past.
- Proven track record building large-scale, high-throughput, low-latency production systems with at least 3+ years working with customers, architecting solutions, and delivering end-to-end products.
- Fluency in writing production-grade Go or Python in a microservice architecture with containers/VMs for over 3+ years.
- 3+ years of DevOps experience (Kubernetes, Docker, Helm and public cloud APIs)
- Worked with relational (SQL) as well as non-relational databases (Mongo or Couch) in a production environment.
- (Bonus: worked with big data in data lakes/warehouses).
- (Bonus: built an end-to-end ML pipeline)
Skills
- Strong documentation skills. As a remote team, we heavily rely on elaborate documentation for everything we are working on.
- Ability to motivate, mentor, and lead others (we have a flat team structure, but the team would rely upon you to make important decisions)
- Strong independent contributor as well as a team player.
- Working knowledge of ML and familiarity with concepts of MLOps
Benefits
- Competitive Salary
- Work Remotely
- Health insurance
- Unlimited Time Off
- Support for continual learning (free books and online courses)
- Reimbursement for streaming services (think Netflix)
- Reimbursement for gym or physical activity of your choice
- Flex hours
- Leveling Up Opportunities
You will excel in this role if
- You have a product mindset. You understand, care about, and can relate to our customers.
- You take ownership, collaborate, and follow through to the very end.
- You love solving difficult problems, stand your ground, and get what you want from engineers.
- Resonate with our core values of innovation, curiosity, accountability, trust, fun, and social good.
- Hands-on experience building database-backed web applications using Python based frameworks
- Excellent knowledge of Linux and experience developing Python applications that are deployed in Linux environments
- Experience building client-side and server-side API-level integrations in Python
- Experience in containerization and container orchestration systems like Docker, Kubernetes, etc.
- Experience with NoSQL document stores like the Elastic Stack (Elasticsearch, Logstash, Kibana)
- Experience in using and managing Git based version control systems - Azure DevOps, GitHub, Bitbucket etc.
- Experience in using project management tools like Jira, Azure DevOps etc.
- Expertise in Cloud based development and deployment using cloud providers like AWS or Azure
Role:
- Developing a good understanding of the solutions which Company delivers, and how these link to Company’s overall strategy.
- Making suggestions towards shaping the strategy for a feature and engineering design.
- Managing own workload and usually delivering unsupervised. Accountable for their own workstream or the work of a small team.
- Understanding Engineering priorities and is able to focus on these, helping others to remain focussed too
- Acting as the Lead Engineer on a project. Helps ensure others follow Company processes, such as release and version control.
- An active member of the team, through useful contributions to projects and in team meetings.
- Supervising others. Deputising for a Lead and/or support them with tasks. Mentoring new joiners/interns and Masters students. Sharing knowledge and learnings with the team.
Requirements:
- Acquired strong proven professional programming experience.
- Strong command of Algorithms, Data structures, Design patterns, and Product Architectural Design.
- Good understanding of DevOps, Cloud technologies, CI/CD, Serverless and Docker, preferable AWS
- Proven track record and expert in one of the field - DevOps/Frontend/Backend
- Excellent coding and debugging skills in any language with command on any one programming paradigm, preferred Javascript/Python/Go
- Experience with at least one of the Database systems - RDBMS and NoSQL
- Ability to document requirements and specifications.
- A naturally inquisitive and problem-solving mindset.
- Strong experience in using AGILE or SCRUM techniques to build quality software.
- Advantage: experience in React js, AWS, Nodejs, Golang, Apache Spark, ETL tool, data integration system, certification in AWS, worked in a Product company and involved in making it from scratch, Good communication skills, open-source contributions, proven competitive coding pro
• At least 4 years of hands-on experience with cloud infrastructure on GCP
• Hands-on-Experience on Kubernetes is a mandate
• Exposure to configuration management and orchestration tools at scale (e.g. Terraform, Ansible, Packer)
• Knowledge and hand-on-experience in DevOps tools (e.g. Jenkins, Groovy, and Gradle)
• Knowledge and hand-on-experience on the various platforms (e.g. Gitlab, CircleCl and Spinnakar)
• Familiarity with monitoring and alerting tools (e.g. CloudWatch, ELK stack, Prometheus)
• Proven ability to work independently or as an integral member of a team
Preferable Skills:
• Familiarity with standard IT security practices such as encryption,
credentials and key management.
• Proven experience on various coding languages (Java, Python-) to
• support DevOps operation and cloud transformation
• Familiarity and knowledge of the web standards (e.g. REST APIs, web security mechanisms)
• Hands on experience with GCP
• Experience in performance tuning, services outage management and troubleshooting.
Attributes:
• Good verbal and written communication skills
• Exceptional leadership, time management, and organizational skill Ability to operate independently and make decisions with little direct supervision
- Hands on experience in following is a must: Unix, Python and Shell Scripting.
- Hands on experience in creating infrastructure on cloud platform AWS is a must.
- Must have experience in industry standard CI/CD tools like Git/BitBucket, Jenkins, Maven, Artifactory and Chef.
- Must be good at these DevOps tools:
Version Control Tools: Git, CVS
Build Tools: Maven and Gradle
CI Tools: Jenkins
- Hands-on experience with Analytics tools, ELK stack.
- Knowledge of Java will be an advantage.
- Experience designing and implementing an effective and efficient CI/CD flow that gets code from dev to prod with high quality and minimal manual effort.
- Ability to help debug and optimise code and automate routine tasks.
- Should be extremely good in communication
- Experience in dealing with difficult situations and making decisions with a sense of urgency.
- Experience in Agile and Jira will be an add on









