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Bilal Dar
AWS/GCP tutor
US$15.00 /15 min20+ years experience managing infrastructure with Telco's and enterprises. Past 5 years have been focussed more on DevOps. Few DevOps related certs: AWS Certified (Architect | SysOps | Developer) Associate AWS Certified Security Speciality Google Cloud Certified - Professional Cloud Architect Google Cloud Certified - Professional Cloud Security Engineer Kubernetes Certified Administrator (CKA) Kubernetes Certified Application Developer (CKAD) My core area of expertise is real time communications (VoIP, Video, WebRTC etc), worked with open source and commercial vendors (Cisco, Avaya, Oracle) as well. 10+ years supporting infrastructure comprise of mainly Cisco gear (routers, switches, firewalls).
Samuel Momoh
AWS/GCP tutor
US$15.00 /15 minI'm an experienced React Native developer with five years in the field, specializing in creating cross-platform mobile applications. Alongside my frontend expertise, I have strong experience as a backend engineer and MERN stack developer, allowing me to work across the full stack. I also bring DevOps experience, including Kubernetes orchestration and deployments on platforms like AWS, Digital Ocean, Google cloud and Azure. My journey has involved collaborating on diverse projects, staying updated on industry trends, and contributing to both frontend and backend development. Looking forward, I aspire to contribute to innovative projects, leveraging my full-stack and DevOps expertise to create seamless, scalable, and user-centric solutions.
Ale Miralles
AWS/GCP tutor
US$20.00 /15 minHi there! It's Ale. I'm a software engineer with nearly twenty years of experience helping companies build amazing products. I feel at home with **Ruby on Rails** and **Elixir/Phoenix**, but I’ve also delivered high-quality code in **Node**, **React**, and **Python**. Over the years, I’ve been the first technical hire, a full-stack developer, a tech lead, and pretty much everything in between. I'm used to working closely with founders and small teams, moving from Plan A to Plan B to whatever plan actually gets us across the finish line. I've helped startups build and scale web applications across finance, e‑commerce, esports, logistics, automotive, healthcare, edtech, and even the fashion industry. I have experience with high-profile web apps serving millions of users and smaller platforms with modest traffic but incredible revenue. I've helped companies launch SaaS products and ad-supported platforms in both B2B and B2C spaces. Lately, I’ve been focused on integrating AI into web apps across esports, e-commerce, and fintech. If you're building epic sh*t, don’t hesitate to reach out. Whether you're looking for a full-time hire or a part-time consultant. I'm always up for a new challenge and would love to chat. Some apps I helped build: * [Canary Data (Elixir/Phoenix - React)](https://canary-data.com/) * [Blitz (Elixir/Phoenix)](https://blitz.gg/) * [Superkind (Elixir/Phoenix)](https://www.linkedin.com/company/superkind) * [About Fresh (Elixir/Phoenix)](https://aboutfresh.org/) * [AR Workflow (Ruby/Rails - Node.js)](https://arworkflow.com/) * [SnapCell (Ruby/Rails)](https://snapcell.us.com/) * [Walkboard (Python/Django)](https://www.walkboard.com/) * [Sky Sports (Node.js - Python)](https://www.skysports.com/football) I wrote [Data Structures From Scratch](https://www.amazon.com/gp/product/B07MZZT6SW), an ebook about creating essential, advanced, and persistent data structures using the Ruby programming language. I live in Buenos Aires (UTC-3) with my wife and beautiful son. If you made it this far, please check out [my resume](https://alemiralles.dev/alemiralles-resume.pdf) for a detailed version of what I've been doing. Thank You!!
- AWS/GCP
- Ruby
- SQL
- Django
- WinForms
- Oracle
- Heroku
- Twilio
- Sidekiq
- React
- Elixir
- JavaScript
- .NET
- Data Pipelines
- API Integration
- Golang
- Java
- C#
- C
- Ruby on Rails
- Node.js
- Git
- Erlang
- PostgreSQL
- Shell
- Unit Testing
- Apache Flex
- IIS
- GitHub
- RSpec
- Redis
- npm
- Mocha
- Es6
- Google Cloud Platform
- Microsoft SQL Server
- Bison
- Phoenix
- GraphQL
- YACC
- Lex
- Grafana
- Prometheus
- ASP.NET
- Express.js
Umar Murtaza
AWS/GCP tutor
US$25.00 /15 min
**DevOps & MLOps Engineer | Cloud Specialist (GCP, AWS, Azure)** DevOps and MLOps Engineer with 6+ years of remote experience designing and implementing cloud infrastructure across GCP, AWS, and Azure. Expert in building scalable web applications and AI/ML systems with comprehensive knowledge of 90+ cloud services. Proven track record delivering cost-optimized solutions for US and European clients while working fully remote since 2018. **Technical Skills** * Cloud Platforms: GCP (Expert), AWS (Expert), Azure (Proficient) * Infrastructure as Code: Terraform, CloudFormation, Google Cloud Deployment Manager * Containerization: Kubernetes (GKE, EKS, AKS), Docker, ECS, Cloud Run * CI/CD & DevOps Tools: Jenkins, Google Cloud Build, AWS CodePipeline, Azure DevOps, Ansible * Programming & Scripting: Python, Bash, YAML, HCL * Operating Systems Administration: Linux (Ubuntu, Debian, CentOS), Solaris **Cloud Expertise** **(a) GCP Services/Skills** * Compute & Containers: Compute Engine, GKE, Cloud Run, App Engine, Batch, Cloud Functions * AI/ML Platform: Vertex AI, Document AI, Gemini, Vision AI, Speech AI, NotebookLM * Data & Analytics: BigQuery, Dataflow, Pub/Sub, Dataproc, Composer, Looker * Storage & Databases: Cloud SQL (MySQL, PostgreSQL), Firestore, Bigtable, Memorystore, Cloud Storage, Filestore * Networking: VPC, Load Balancing, Cloud CDN, Cloud DNS, Cloud NAT, Interconnect, VPN * DevOps & CI/CD: Cloud Build, Artifact Registry, Container Registry, Cloud Deploy, Source Repositories * Serverless & Integration: Cloud Functions, Cloud Scheduler, Cloud Tasks, Workflows, API Gateway, Apigee * Observability: Cloud Monitoring, Logging, Trace, Error Reporting * Security & Management: IAM, Organizations, Security Command Center, Deployment Manager **(b) AWS Services/Skills** * Compute & Containers: EC2, ECS, EKS, Lambda, Batch, Elastic Beanstalk, Lightsail * AI/ML Service: SageMaker, Polly, Rekognition * Storage & Databases: S3, EFS, RDS, DynamoDB, ElastiCache, DocumentDB, MemoryDB, AWS Backup * Networking & CDN: VPC, CloudFront, API Gateway, Route 53, WAF & Shield * DevOps & Developer Tools: CodePipeline, CodeBuild, CodeDeploy, CodeCommit, CodeArtifact * Management/Governance: CloudWatch, CloudFormation, CloudTrail, AWS Config, Organizations, Trusted Advisor * Security & Compliance: IAM, KMS, Certificate Manager, Secrets Manager * Application Integration: SQS, SNS, Step Functions, Amazon MQ, SES * IoT & Edge: IoT Core, IoT Events * Cost Management: Billing Conductor, Cost Explorer **(c) Azure Services/Skills** * Compute & Containers: Virtual Machines, AKS, Azure Container Registry, Container Storage * Databases: Azure SQL, Azure Cache for Redis * DevOps: Azure DevOps * Networking: Azure Firewall, NAT Gateway, Load Balancer, Virtual Network * Storage: Blob Storage, Disk Storage, Container Storage, Storage Accounts **Cloud Certifications** * Google Professional Cloud Architect by Google Cloud Platform (GCP) * Amazon Web Services Solutions Architect Associate by Amazon Web Services (AWS) **Professional Affiliations** * Member | AI Accelerator Institute | May 2023 - Present * Connecting and empowering AI infrastructure innovators * AWS Community Builder | Amazon Web Services | May 2021 - May 2023 * Built AWS Community through meetups, training, and live sessions **Additional Courses** **DevOps Courses (from LinuxAcademy)** * DevOps Essentials * Docker Quick Start / Docker Deep Dive * Using Ansible for CM and Deployments * Jenkins Quick Start / Jenkins and Build Automation * Container Clusters with Kubernetes * Puppet Quick Start * Learning Vagrant * Ansible Quick Start **Machine Learning Courses (From Coursera)** * Machine Learning with TensorFlow on GCP * How Google does Machine Learning * Art and Science of Machine Learning - Feature Engineering * Intro to TensorFlow * Launching into Machine Learning **Data Science Courses (From DataCamp)** * Cleaning Data in Python * Data Manipulation * Data Scientist with Python * Importing & Cleaning Data with Python * Importing Data in Python (Part 1 & 2) * Intermediate Python for Data Science * Intro to Python for Data Science * Introduction to Databases in Python * Machine Learning with Python * Python Data Science Toolbox **Some Recent Projects and Technologies** * Deployment and Maintenance of GKE Clusters in Development, Staging and Production Environments * Scripting deployment of a complete Project with GKE in GCP * Scripting/Terraforming deployment of a complete infrastructure in AWS * Terraforming App Engine, Cloud SQL, MongoDB, VMs and MemoryStore in GCP * Migration to Google Cloud Platform, with web application, databases and storage * Setting up number of GKE clusters for clients for online services * Setup of multiple projects for DICOM services for a US client * Setup of ML Based services infrastructure using GKE (with GPUs) and VMs
Ian Christopher B. de Jesus
AWS/GCP tutor
US$15.00 /15 minHi. im a fullstack web developer for Magic. I mostly work on the generative AI backend of our chat system to automate client request. I'm comfortable working with different JS frameworks in frontend and JS and Python frameworks in backend.
Adetokunbo Ige
AWS/GCP tutor
US$16.00 /15 minHi, I'm Adetokunbo Temitayo Ige, a DevOps Engineer with experience in Platform Engineering, SRE, Database Administration, and Technical Writing. I hold a B.Sc in Computer Science from Babcock University and an M.Sc in Business Information Technology from Middlesex University. I have experience working with the following technologies * AWS * Docker, Kubernetes * Terraform (IAC), Pulumi * Azure * CI/CD ( GitHub Actions, Gitlab CI, Jenkins) * Python and Bash * Linux * GCP Blog: https://igeadetokunbo.medium.com/
- AWS
- Ruby
- PHP
- SQL
- Ruby on Rails
- Django
- MySQL
- MongoDB
- Flask
- Linux
- Database
- Oracle
- Bash
- API
- PostgreSQL
- PowerShell
- Ubuntu
- Azure
- Selenium
- Heroku
- GitHub
- Elasticsearch
- Continuous Integration
- Integration Testing
- Ansible
- GitLab
- Puppet
- Google Cloud Platform
- Nagios
- Kotlin
- Back-End
- Microservices
- Chef Server
- Technical Writing
- CI/CD
- RESTful API
- Python
- Laravel
- Jenkins
- Docker
- Kubernetes
- Circleci
- Terraform
- Linux System Administration
- Golang
- Helm
- Spinnaker
- GitHub Actions
- DevOps
Find your personal AWS/GCP tutor on Codementor today 
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See the power of our AWS/GCP tutors through glowing user reviews that showcase their successful AWS/GCP learning journeys. Don't miss out on top-notch AWS/GCP training.
“Dejan was one of the best mentors I have ever seen! He has a lot of experience in competitions, and he is really kind! Dejan showed me some key mistakes in my coding experience, and helped me greatly. I would recommend him to any person in need of some coding help.“
Jiani Zhou / Sep 2025
Dejan B.
AWS/GCP tutor
“I've been working with Robin for the past month on learning CS fundamentals to support the work I'm doing in developer marketing. He has been incredibly helpful and easy to work with. I really appreciate his style of teaching -- he uses various visual aids, assignments, and pop quizzes to demonstrate and reinforce abstract concepts. He's also personable and professional. Highly recommend him if you're looking for this sort of instruction!“
Elyse Pedra / Oct 2025
Robin Haupt
AWS/GCP tutor
“Peter has deep scientific knowledge of machine learning and explains complex ideas in a way that’s easy to follow. He’s very accommodating and experienced as a tutor, which makes learning both effective and enjoyable. I highly recommend him.“
L P / Oct 2025
Peter Scicluna
AWS/GCP tutor
“Very knowledgeable with WordPress and super helpful! Will teach you how to do something and allows the opportunity for you to try it or something very similar for yourself if you so choose. Learned a lot from Rahul!“
Samuel Ortega / Oct 2025
Rahul Choudhary
AWS/GCP tutor
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Frequently asked questions
How to learn AWS/GCP?
Learning AWS/GCP effectively takes a structured approach, whether you're starting as a beginner or aiming to improve your existing skills. Here are key steps to guide you through the learning process:
- Understand the basics: Start with the fundamentals of AWS/GCP. You can find free courses and tutorials online that cater specifically to beginners. These resources make it easy for you to grasp the core concepts and basic syntax of AWS/GCP, laying a solid foundation for further growth.
- Practice regularly: Hands-on practice is crucial. Work on small projects or coding exercises that challenge you to apply what you've learned. This practical experience strengthens your knowledge and builds your coding skills.
- Seek expert guidance: Connect with experienced AWS/GCP tutors on Codementor for one-on-one mentorship. Our mentors offer personalized support, helping you troubleshoot problems, review your code, and navigate more complex topics as your skills develop.
- Join online communities: Engage with other learners and professionals in AWS/GCP through forums and online communities. This engagement offers support, new learning resources, and insights into industry practices.
- Build real-world projects: Apply your AWS/GCP skills to real-world projects. This could be anything from developing a simple app to contributing to open source projects. Using AWS/GCP in practical applications not only boosts your learning but also builds your portfolio, which is crucial for career advancement.
- Stay updated: Since AWS/GCP is continually evolving, staying informed about the latest developments and advanced features is essential. Follow relevant blogs, subscribe to newsletters, and participate in workshops to keep your skills up-to-date and relevant.
How long does it take to learn AWS/GCP?
The time it takes to learn AWS/GCP depends greatly on several factors, including your prior experience, the complexity of the language or tech stack, and how much time you dedicate to learning. Here’s a general framework to help you set realistic expectations:
- Beginner level: If you are starting from scratch, getting comfortable with the basics of AWS/GCP typically takes about 3 to 6 months. During this period, you'll learn the fundamental concepts and begin applying them in simple projects.
- Intermediate level: Advancing to an intermediate level can take an additional 6 to 12 months. At this stage, you should be working on more complex projects and deepening your understanding of AWS/GCP’s more advanced features and best practices.
- Advanced level: Achieving proficiency or an advanced level of skill in AWS/GCP generally requires at least 2 years of consistent practice and learning. This includes mastering sophisticated aspects of AWS/GCP, contributing to major projects, and possibly specializing in specific areas within AWS/GCP.
- Continuous learning: Technology evolves rapidly, and ongoing learning is essential to maintain and improve your skills in AWS/GCP. Engaging with new developments, tools, and methodologies in AWS/GCP is a continuous process throughout your career.
Setting personal learning goals and maintaining a regular learning schedule are crucial. Consider leveraging resources like Codementor to access personalized mentorship and expert guidance, which can accelerate your learning process and help you tackle specific challenges more efficiently.
How much does it cost to find a AWS/GCP tutor on Codementor?
The cost of finding a AWS/GCP tutor on Codementor depends on several factors, including the tutor's experience level, the complexity of the topic, and the length of the mentoring session. Here is a breakdown to help you understand the pricing structure:
- Tutor experience: Tutors with extensive experience or high demand skills in AWS/GCP typically charge higher rates. Conversely, emerging professionals might offer more affordable pricing.
- Pro plans: Codementor also offers subscription plans that provide full access to all mentors and include features like automated mentor matching, which can be a cost-effective option for regular, ongoing support.
- Project-based pricing: If you have a specific project, mentors may offer a flat rate for the complete task instead of an hourly charge. This range can vary widely depending on the project's scope and complexity.
To find the best rate, browse through our AWS/GCP tutors’ profiles on Codementor, where you can view their rates and read reviews from other learners. This will help you choose a tutor who fits your budget and learning needs.
What are the benefits of learning AWS/GCP with a dedicated tutor?
Learning AWS/GCP with a dedicated tutor from Codementor offers several significant benefits that can accelerate your understanding and proficiency:
- Personalized learning: A dedicated tutor adapts the learning experience to your specific needs, skills, and goals. This personalization ensures that you are not just learning AWS/GCP, but exceling in a way that directly aligns with your objectives.
- Immediate feedback and assistance: Unlike self-paced online courses, a dedicated tutor provides instant feedback on your code, concepts, and practices. This immediate response helps eliminate misunderstandings and sharpens your skills in real-time, making the learning process more efficient.
- Motivation and accountability: Regular sessions with a tutor keep you motivated and accountable. Learning AWS/GCP can be challenging, and having a dedicated mentor ensures you stay on track and continue making progress towards your learning goals.
- Access to expert insights: Dedicated tutors often bring years of experience and industry knowledge. They can provide insights into best practices, current trends, and professional advice that are invaluable for both learning and career development.
- Career guidance: Tutors can also offer guidance on how to apply AWS/GCP in professional settings, assist in building a relevant portfolio, and advise on career opportunities, which is particularly beneficial if you plan to transition into a new role or industry.
By leveraging these benefits, you can significantly improve your competency in AWS/GCP in a structured, supportive, and effective environment.
How does personalized AWS/GCP mentoring differ from traditional classroom learning?
Personalized AWS/GCP mentoring through Codementor offers a unique and effective learning approach compared to traditional classroom learning, particularly in these key aspects:
- Customized content: Personalized mentoring adapts the learning material and pace specifically to your needs and skill level. This means the sessions can focus on areas where you need the most help or interest, unlike classroom settings which follow a fixed curriculum for all students.
- One-on-one attention: With personalized mentoring, you receive the undivided attention of the tutor. This allows for immediate feedback and detailed explanations, ensuring that no questions are left unanswered, and concepts are fully understood.
- Flexible scheduling: Personalized mentoring is arranged around your schedule, providing the flexibility to learn at times that are most convenient for you. This is often not possible in traditional classroom settings, which operate on a fixed schedule.
- Pace of learning: In personalized mentoring, the pace can be adjusted according to how quickly or slowly you grasp new concepts. This custom pacing can significantly enhance the learning experience, as opposed to a classroom environment where the pace is set and may not align with every student’s learning speed.
- Practical, hands-on learning: Mentors can provide more practical, hands-on learning experiences tailored to real-world applications. This direct application of skills is often more limited in classroom settings due to the general nature of the curriculum and the number of students involved.
Personalized mentoring thus provides a more tailored, flexible, and intensive learning experience, making it ideal for those who seek a focused and practical approach to mastering AWS/GCP.
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