āϞāĻžāχāĻ­ (āĻ…āύāϞāĻžāχāύ) āϕ⧋āĻ°ā§āϏ

DevOps & MLOps : From Code to Cloud

Master DevOps & MLOps with this hands-on course. Learn Linux, Docker, Kubernetes, CI/CD, and Cloud. Master ML model versioning, deployment with FastAPI, and monitoring via MLflow. Automate workflows and build scalable systems using Jenkins, Terraform, and Grafana. Perfect for upskilling fast.

Duration: 6 Months Class Type: Live (Online) Batch: 1
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Course Thumbnail

āĻŦā§āϝāĻžāϚ āĻļ⧁āϰ⧁

2025-10-29

āϞāĻžāχāĻ­ āĻ•ā§āϞāĻžāϏ

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āφāϏāύ āĻ–āĻžāϞāĻŋ

20

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āĻ•āĻžāϰāĻŋāϕ⧁āϞāĻžāĻŽ

Milestone 1: Foundation
  • DevOps culture & principles (CLAMS).
  • Agile & Scrum with GitHub Projects.
  • Linux fundamentals (CLI. file systems. networking).
  • Git & GitHub (version control. PR workflow. gitflow. and trunk-based development).
Milestone 2: CI/CD Fundamentals
  • CI/CD pipeline concepts (build → test → deploy).
  • GitHub Actions: basic to modular workflows.
  • Build automation(npm. Python setup tools).
  • Unit testing(pytest. Jest).
Milestone 3: Build & Artifact Management
  • Docker fundamentals (images. containers. Dockerfile. Docker Compose)
  • Artifact registry: GitHub Packages. DockerHub/ECR.
Milestone 4: Container Orchestration & IaC
  • Kubernetes basics (Pods. Deployments. Services. Ingress. CRDs)
  • Config and package management: ConfigMaps. Secrets. Helm.
  • Infrastructure as Code: Terraform (AWS/DigitalOcean).
  • Configuration management: Ansible(optional for provisioning demos).
Milestone 5: Monitoring, Logging & Security
  • Observability concepts.
  • Prometheus & Grafana for monitoring.
  • ELK / LGTM stack.
  • DevSecOps basics: Trivy (container scanning). SonarQube/SonarCloud.
  • Secrets management (Vault/Infisical/AWS Secrets Manager)
Milestone 6: Cloud & Deployment Strategies
  • Cloud concepts.
  • Cloud: AWS/DigitalOcean free-tier setup.
  • Deploying with CI/CD to the cloud.
  • Strategies: Blue-Green. Canary. Rolling updates.
  • Serverless basics (AWS Lambda via CLI or serverless framework with CICD).
Milestone 7: Advanced DevOps
  • GitOps basics with Flux v2.
  • Site Reliability Engineering concepts: SLIs. SLOs. SLAs. Error Budgets.
  • Chaos Engineering intro.
  • Cost optimization in the cloud via usage insights & monitoring.
Milestone 8: MLOps Fundamentals
  • What is MLOps & how it extends DevOps
  • MLOps lifecycle (Data → Model → Deploy → Monitor → Retrain)
  • Challenges and drift overview (data drift. model drift. reproducibility)
  • Data versioning with DVC + Git LFS/S3/NFS
Milestone 9: Experiment Tracking & Model Packaging
  • Experiment tracking (MLflow. Weights & Biases)
  • Model packaging (Pickle. TorchScript)
  • Environment reproducibility (Conda/Poetry + Docker for ML)
Milestone 10: CI/CD for ML
  • ML pipeline automation: GitHub Actions.
  • Data validation: GX
  • TFX.
  • Set up CI pipelines with model test gates.
Milestone 11: Model Deployment
  • Inference types: batch vs real-time
  • Model API: REST/gRPC. FastAPI
  • Model Serving: TorchServe
  • BentoML
  • Deploy on Kubernetes: KFServing intro (basic demo only)
  • Optional: Edge & Serverless deployment context
Milestone 12: Monitoring & Model Management
  • Model monitoring: logs. metrics(latency. accuracy. failure rates).
  • Model/data drift detection: Evidently AI
  • loop: Retraining automation demo + logging.
Milestone 13: Cloud MLOps
  • Managed platforms: SageMaker (focus) / GCP Vertex AI and Azure ML overview
  • Model registry with MLflow.
  • Scalable inference + cost insights from SageMaker endpoints.

Salman Md Sultan

Education

  • ,

IT Industrial Experience (6 Years)

No. Institution Designation Duration
1 CEO, Innovative Skills Ltd | Former Report Analyst, Robi | Former Technical Team Leader, European IT Solutions | Former AI Researcher, WMCS LAB, Chosun University, South Korea

Project/Research

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Md Maniruzzaman Manir

Md Anower Hossain

Mehedi Azad

Alomghir Hossain

Video Feedback

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āϕ⧋āĻ°ā§āϏ āĻ“āĻ­āĻžāϰāĻ­āĻŋāω

āϞāĻžāχāĻ­ āĻŦā§āϝāĻžāϚ â€ĸ āϏ⧀āĻŽāĻŋāϤ āϏāĻŋāϟ

  • ⏱ Duration6 Months
  • đŸĒ‘ Available Seats20
  • 📡 Class Type āϞāĻžāχāĻ­ (āĻ…āύāϞāĻžāχāύ)
  • 🔓 AccessLifetime

Priceā§ŗ 8000

Discount Priceā§ŗ 5040

āĻŦā§āϝāĻžāĻšā§‡ āĻ­āĻ°ā§āϤāĻŋ āĻšā§‹āύ

āϕ⧋āĻ°ā§āϏ āχāĻ¨ā§āϏāĻŸā§āϰāĻžāĻ•ā§āϟāϰ āĻĄāĻŋāĻŸā§‡āχāϞāϏ

Course Instructor

Salman Md Sultan

Salman Md Sultan

CEO, Innovative Skills Ltd | Former Report Analyst, Robi | Former Technical Team Leader, European IT Solutions | Former AI Researcher, WMCS LAB, Chosun University, South Korea

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DevOps & MLOps : From Code to Cloud āύāĻŋā§Ÿā§‡ āφāĻĒāύāĻžāϰ āϜāĻ¨ā§āϝ āϕ⧋āύ learning path best āĻšāĻŦ⧇, āϏ⧇āϟāĻž āĻŦ⧁āĻāϤ⧇ āφāĻŽāĻžāĻĻ⧇āϰ team āφāĻĒāύāĻžāϕ⧇ call back āĻ•āϰāĻŦ⧇āĨ¤

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Docker

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Kubernetes

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Fast API

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Github

āφāĻŽāĻžāĻĻ⧇āϰ āĻļāĻŋāĻ•ā§āώāĻžāĻ°ā§āĻĨā§€āĻĻ⧇āϰ āϏāĻžāĻĢāĻ˛ā§āϝ⧇āϰ āĻ—āĻ˛ā§āĻĒ

Mahibullah Siddique

Software Developer

Mahibullah Siddique

Mehedi Azad

Python Trainer

Mehedi Azad

Md Tanvir Islam

Graduate Research Assistant

Md Tanvir Islam

Nur Hossain Nayeem

MERN Stack Developer

Nur Hossain Nayeem

Ashraf Ali

SQA Engineer

Ashraf Ali

Mostakim Alvi

AI Engineer

Mostakim Alvi

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Siraj Us Salekin
Siraj Us Salekin
(5.0) 1 year ago

Innovative Skills BD provided an excellent foundation for my journey into Machine Learning and Deep Learning. The NLP course, led by the phenomenal instructor Salman Bhai, was instrumental in teaching practical NLP model building and fostering a clear understanding of NLP classification, chatbots, and recommendation systems. However, it's important to note that this course is best suited for those with some programming experience. While highly valuable, it may be challenging for complete beginners. Ideal participants include recent university graduates or programmers seeking practical NLP knowledge. Salman Bhai's skillful guidance sets you on the right path. Those with strong self-study skills or a genuine desire to expand their NLP knowledge will find this course to be an excellent fit. Salman Bhai and his team were incredibly supportive throughout the program. Their dedication to continuous workshops and industry knowledge sharing significantly enhanced the learning experience. Overall Rating: 4.5 out of 5 stars A minor suggestion for improvement: While the course is fantastic, full beginner-friendliness with comprehensive code explanations for those entirely new to implementation would elevate it to a perfect score. However, for the hard-working student, this knowledge gap can be readily addressed through additional self-study using documentation or online resources. Ultimately, even the challenges encountered are part of the rewarding learning process. Thank you once again to Salman Bhai and his team!

Obaydullah Hasib
Obaydullah Hasib
(5.0) 1 year ago

Enrolling in the "Python Development with Django" course at ISBD has been a transformative experience. Salman Vai, our instructor, is so supportive, he treats me like a brother. His teaching style is exceptional, breaking down complex concepts with clarity and enthusiasm. The detailed course structure ensures a comprehensive understanding. If you're seeking a top-notch educational destination, ISBD is the place to be. I recommend it for anyone looking to upskill and looking for a very good learning environment.

Rahmatullah Masum
Rahmatullah Masum
(5.0) 1 year ago

Assalamu Alaikum. 'Machine Learning for NLP' and other courses offered by Innovative Skills BD are well organized and the instructors are very helpful. So I recommend the courses of Innovative Skills BD.

Shaiful Islam
Shaiful Islam
(5.0) 1 year ago

Embarking on a 4IR journey? Choose Innovative Skills. From Computer Vision, and NLP to other cutting-edge courses, their hands-on approach and expert insights made complex topics feel approachable, igniting a passion in me I never knew I had. If you're on the fence about where to start, trust me, this is the place. Dive in, and let them be the compass to your future.

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