Whizlabs Courses

Career Certificate

Exam Prep AZ-305: Microsoft Azure Solutions Architect Expert

5 ratings at Coursera

Prepare for the AZ-305 exam: design resilient Azure solutions covering Entra ID identity, governance and monitoring, data storage, compute and application architecture, migration, business continuity, and networking.

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

Career Certificate

Exam Prep (SAP-C02): AWS Solutions Architect - Professional

6 ratings at Coursera

Prepare for the AWS Solutions Architect Professional (SAP-C02) exam: design secure, scalable architectures spanning compute, containers, networking, databases, EMR analytics, migration tooling and cost optimization.

• Coursera
• 12 weeks, 3 hours a week
• Self-Paced
• Paid Course
• 7 courses

Career Certificate

Data Science and Machine Learning Engineering on Microsoft Azure

5 ratings at Coursera

Design, train, deploy, and monitor machine learning solutions on Azure: configure ML workspaces, ingest and prepare data, track experiments with MLflow, and optimize language models.

• Coursera
• 16 weeks, 28 hours a week
• Self-Paced
• Paid Course
• 4 courses

Career Certificate

Exam Prep SC-900: Microsoft Certified Security Fundamentals

5 ratings at Coursera

Prepare for the SC-900 exam: cover core security, compliance and identity concepts, Zero Trust, Microsoft Entra identity and access management, Defender and Sentinel, and Purview compliance.

• Coursera
• 4 weeks, 6 hours a week
• Self-Paced
• Paid Course
• 4 courses

Career Certificate

Exam Prep: Google Cloud Workspace Administrator Associate

5 ratings at Coursera

Prepare for the Google Workspace Administrator Associate exam: manage users, groups and directory integration, control access and third-party apps, configure mail routing, devices and auditing.

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

Generative AI for AWS Cloud Engineers

Build generative AI on AWS: customize foundation models in Amazon Bedrock with fine-tuning and RAG, configure Guardrails and agents, and secure and govern AI solutions.

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

Getting Started with Azure Data Solutions

Explore Azure's data ecosystem end to end: ingest, store, and analyze data with Data Factory, Synapse Analytics, Data Lake Storage Gen2, Cosmos DB, Databricks, and Azure Monitor.

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

AWS: AI Services

Explore AWS managed AI services — Comprehend, Translate, Transcribe, Polly, Lex, Rekognition, Kendra, Textract, Personalize — and pick the right one for language, vision, search and personalization needs.

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

AWS: Database & Integration

Compare AWS messaging and database services: event-driven patterns with EventBridge, SQS and SNS, then deploy an Amazon RDS instance and create a DynamoDB table.

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

AWS: Finance & Compliance

Learn AWS governance and management: monitor with CloudWatch and CloudTrail, secure access with IAM, automate with CloudFormation, and optimize spending using Cost Explorer and Trusted Advisor.

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

AWS: Generative AI & Bedrock

Learn how generative AI works on AWS: foundation models and their lifecycle, Amazon Q, Amazon Bedrock, RAG knowledge bases, guardrails, agents, and model evaluation.

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

AWS: Introduction to Cloud Computing

Explore cloud computing fundamentals and AWS: compare IaaS, PaaS and SaaS, set up an AWS account, apply the 6 Rs migration framework and Well-Architected pillars.

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

AWS: Migration & Analytics

Explore AWS migration and analytics services: move workloads with Migration Hub, Transfer Family, Storage Gateway and Snow Family, then process data using EMR, Kinesis, OpenSearch and QuickSight.

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

Mastering AWS Managed AI Services & Responsible AI

Apply Responsible AI principles and AWS managed services — Comprehend, Translate, Transcribe, Polly, Rekognition, Lex, Kendra, Personalize, Textract — to build governed, business-focused AI applications.

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

Career Certificate

AWS Core+ Business focus for Team Managers

Evaluate AWS cloud initiatives as a manager: cloud fundamentals, migration and analytics, databases and integration, AI services and Amazon Bedrock, plus finance, security and compliance.

• Coursera
• 4 weeks, 10 hours a week
• Self-Paced
• Paid Course
• 6 courses