IBM Cloud training examines the platform’s core services for building, deploying, and managing modern applications. Explore IBM Watson capabilities, Kubernetes-based container orchestration, cloud infrastructure, and service integration in practical business and development contexts. The course focuses on how IBM Cloud tools support scalable workloads, application delivery, data-driven services, and operational management across cloud environments.
This IBM Cloud Certification online course helps learners build a structured understanding of IBM Cloud concepts for certification-focused study. It examines cloud fundamentals, platform services, deployment considerations, and key knowledge areas relevant to a cloud certification exam. With a flexible learning schedule, the online cloud training format supports focused study around existing commitments while strengthening familiarity with cloud environments and service models.
Google Cloud Architect Training examines how to design, deploy, and manage solutions on Google Cloud Platform. The course explores compute, storage, networking, identity and access management, resource organisation, reliability, security, and cost-aware architecture decisions. It also develops the scenario-based reasoning needed to assess business requirements, select suitable GCP services, and prepare for Professional Cloud Architect exam topics.
The Python Data Wrangling Training from ZebLearn equips data professionals with expert skills in transforming messy raw data into analysis-ready datasets using Pandas, NumPy, and advanced preprocessing techniques for machine learning and business intelligence pipelines. Master essential data wrangling including Pandas DataFrames/Series, missing value imputation, outlier detection/removal, data type conversion, string manipulation, date/time parsing, merging/joining datasets, groupby aggregation, pivot/melt reshaping, regex cleaning, and automation scripts that reduce data preparation time by 70%. Perfect for data analysts, data scientists, BI developers, machine learning engineers, and business analysts handling real-world messy datasets from CSV, JSON, SQL databases, web scraping, and APIs requiring...
The Amazon Cloud Training from ZebLearn provides comprehensive AWS expertise covering compute (EC2/Lambda/ECS/EKS), storage (S3/EBS/EFS), networking (VPC/Route53/Direct Connect), databases (RDS/DynamoDB/Redshift), security (IAM/KMS/GuardDuty), serverless (API Gateway/Fargate), analytics (Athena/EMR/QuickSight), and management tools (CloudFormation/CloudWatch/Systems Manager) for enterprise cloud solutions. Master EC2 Auto Scaling/Spot Instances, S3 lifecycle/intelligent tiering, VPC peering/Transit Gateway, RDS multi-AZ/Read Replicas, DynamoDB DAX streams, Lambda concurrency/Provisioned Concurrency, IAM roles/policies/service control policies, CloudWatch Container Insights, X-Ray distributed tracing, and AWS Organizations/SCP governance to architect, deploy, and operate production AWS workloads across hybrid/multi-account environments. Ideal for cloud engineers, solution architects, DevOps professionals, and technical managers requiring end-to-end AWS platform knowledge for application development,...
The Data Science with R Training from ZebLearn equips analysts and data scientists with comprehensive R programming skills for statistical analysis, data wrangling, machine learning, visualization, and production dashboards using tidyverse ecosystem, caret/mlr3, Shiny applications, and R Markdown reporting. Master tidyverse (dplyr/tidyr/ggplot2/readr), data manipulation/pivoting/joins/group_by, statistical modeling (lm/glm/regression), machine learning (caret/randomForest/xgboost/rpart), time series forecasting (forecast/ARIMA/prophet), Shiny reactive apps/deployment, R Markdown/Quarto reports/notebooks, sparklyr Big Data integration, plumber APIs, and renv package management to build complete end-to-end data science workflows with publication-quality visualizations and interactive applications.