KodeKloud Courses

Chaos Engineering

Master chaos engineering principles and hands-on AWS fault injection techniques to build resilient systems across EC2, Aurora, Fargate, EKS, and multiple availability zones.

• Coursera
• 5 hours 18 minutes
• Self-Paced
• Paid Course

AWS Certified AI Practitioner

Master AWS AI implementation with practical, scenario-based learning. Prepare for the AWS Certified AI Practitioner exam while exploring AI fundamentals, generative AI, foundation models, responsible AI practices, and security.

• Coursera
• 13 hours 57 minutes
• Self-Paced
• Paid Course

Introduction to OpenAI

Dive into OpenAI's ecosystem through hands-on projects, mastering text generation, vision capabilities, and advanced features while learning ethical AI implementation and practical applications.

• Coursera
• 8 hours 56 minutes
• Self-Paced
• Paid Course

Career Certificate

DevOps Pro: Linux, Docker, Kubernetes, CI/CD & IaC

Master the full DevOps stack hands-on, from Linux administration to Kubernetes orchestration, CI/CD pipelines, Docker, and cloud infrastructure automation with Terraform and Ansible on AWS.

• Coursera
• Self-Paced
• Paid Course
• 5 courses

Career Certificate

GO Programming Mastery

Master Go programming from scratch—covering syntax, data types, control flow, collections, functions, pointers, and system design to build production-ready, scalable backend systems.

• Coursera
• Self-Paced
• Paid Course

Golang: Foundations and Variables

Master Go fundamentals — syntax, data types, variables, constants, and operators. Build real programs with hands-on labs, no prior coding experience needed.

• Coursera
• 3 weeks, 2 hours a week
• Self-Paced
• Paid Course

Golang: Functions, Pointers and System Design

Master Go's functions, pointers, and system design patterns. Build modular, memory-efficient software using structs, interfaces, and advanced functional techniques for production-ready architectures.

• Coursera
• 3 weeks, 2 hours a week
• Self-Paced
• Paid Course

Golang: Logic Flow and Data Collections

Master Go's logic flow and data collections — covering operators, control flow, loops, arrays, slices, and maps to build efficient, data-driven backend services.

• Coursera
• 3 weeks, 2 hours a week
• Self-Paced
• Paid Course

Amazon S3: Storage, Security and Management on AWS

Master AWS S3 storage, security, and management—covering buckets, IAM policies, encryption, replication, lifecycle rules, and static website hosting with hands-on AWS CLI practice.

• Coursera
• 4 weeks, 2 hours a week
• Self-Paced
• Paid Course

Rust Programming

Master Rust programming from fundamentals to advanced concepts, covering ownership, concurrency, error handling, and CLI tools through hands-on labs and practical projects.

• Coursera
• 16 hours
• Self-Paced
• Paid Course

Rust Programming - Advanced Concepts

Master advanced Rust concepts including Smart Pointers, async/await, Fearless Concurrency, FFI, and WebAssembly to build high-performance, memory-safe systems and network services.

• Coursera
• 20 hours
• Self-Paced
• Paid Course

Data Engineering Essentials

Master MLOps-ready data engineering with Kafka, Spark, and Airflow to build scalable, automated pipelines that bridge raw data to production AI systems.

• Coursera
• 5 hours 27 minutes
• Self-Paced
• Paid Course

Deploy ML Models to Production

Master MLOps by deploying ML models from development to production using MLflow, BentoML, and AWS SageMaker with hands-on insurance claim application project.

• Coursera
• 3 hours 53 minutes
• Self-Paced
• Paid Course

ML Model Development and Tracking: Hands-on Guide

Master MLOps "Middle Loop" with MLflow tracking, model versioning, and production deployment through hands-on insurance claim automation project.

• Coursera
• 3 hours 3 minutes
• Self-Paced
• Paid Course

Career Certificate

Hands-On MLOps Fundamentals for ML Engineers

Master the complete machine learning lifecycle from data ingestion to production deployment through hands-on projects, gaining job-ready MLOps expertise for scalable ML systems.

• Coursera
• 4 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 3 courses