Cloud Computing & DevOps - Skill Up Plus Package
1.350,00 EUR
- 1800 hours
Master the cloud. Automate with DevOps. Build and operate modern infrastructure. Build the cloud and DevOps expertise needed to design, deploy, automate, secure, and manage modern technology environments with a comprehensive Cloud Computing & DevOps Skill Up Plus Package. This package brings together extensive learning across AWS, Microsoft Azure, Google Cloud, DevOps, CI/CD, Kubernetes, Docker, Infrastructure as Code, cloud automation, monitoring, observability, SRE, cloud security, and MLOps. Learners can progress from cloud fundamentals to advanced architecture, cloud-native development, enterprise DevOps, and modern AI-enabled operations.
About the package
This package combines 5 intensive bootcamps, 9 learning paths, and 150+ eLearning courses, giving you multiple ways to develop and apply in-demand skills
Learners can also develop hands-on skills with technologies such as Terraform, Ansible, Jenkins, Kubernetes, Docker, Prometheus, Grafana, ELK, Azure DevOps, AWS, Azure, Google Cloud, and MLOps platforms.
Whether you are beginning your cloud journey, advancing into cloud architecture, developing cloud-native applications, or specializing in DevOps and automation, this package provides a flexible pathway to build practical, industry-relevant skills.
you need under our AI Skill Up Plus course catalog? Learn more, save up more!
Key Features
Course and material in English
Beginner - Advanced level for aspiring professional
1 year learning platform access & class recordings
850+ hours eLearning content
1000+ live class hours
Self-assign live class cohorts and courses
Dynamic and auto-update future courses
Practice projects, virtual labs and assessment included
Certification for each course completion
Exam voucher not included
Learning Outcomes
At the end of this Bootcamp, you will be able to:
Understand core cloud computing
concepts and the principles behind modern cloud infrastructure, services, deployment models, and architectures.
Design and manage cloud solutions
across major platforms including AWS, Microsoft Azure, and Google Cloud.
Develop cloud architecture skills
for designing scalable, secure, reliable, and cost-conscious enterprise environments.
Apply DevOps principles and practices
to improve collaboration, automation, software delivery, and operational efficiency.
Build and manage CI/CD pipelines
using tools and technologies such as Jenkins, Git, and modern DevOps automation practices.
Deploy and manage containerized applications
using Docker and Kubernetes, including orchestration, security, and microservices concepts.
Implement Infrastructure as Code
and configuration management using technologies such as Terraform and Ansible.
Apply monitoring, observability, and SRE practices
using tools such as Prometheus, Grafana, ELK, and cloud-native monitoring services.
Implement cloud security, governance
and operational controls across AWS, Azure, and Google Cloud environments.
Explore advanced cloud-native practices
including MLOps and AI-enabled DevOps, enabling learners to support modern machine learning systems and increasingly intelligent software delivery and operations.
Featured Programs
AWS Cloud Architect Bootcamp
Bootcamp
Azure Cloud Architect Bootcamp
Bootcamp
Azure DevOps Solutions Expert Bootcamp
Bootcamp
Cloud Architect Bootcamp
Learning Path
AI-Enabled DevOps Engineer Bootcamp
Learning Path
9 Learning Paths
160+ eLearning
Topics
- Mastering Agentic AI using LangGraph, AutoGen, and CrewAI Frameworks
- Building AI Agents – From Fundamentals to Advanced Applications
- Foundations of Agentic AI and LLM-Powered Architectures
- Mastering AI Agents: Building Autonomous and Intelligent AI Systems
- Full-Stack AI Development: Building Intelligent Applications with LLMs and Agents
- Building AI Agents with LangGraph and OpenAI
- LLM Fine-Tuning and Customization
- LangChain for LLM Application Development
- Large Language Models & LangChain and Workflow Design
- Introduction to Large Language Models
- Prompt Engineering Masterclass – From Beginner to Advanced
- Prompt Engineering for Everyone with ChatGPT and GPT-4
- Building Generative AI Applications with RAG (Azure & AWS)
- Preprocessing Unstructured Data for LLMs and RAG Systems
- Azure AI Foundry + RAG
- Get Started with Databricks for Generative AI
- Building and Deploying Intelligent AI Solutions with Azure AI Studio
- Advanced AI Services, Integration, and Deployment with Azure AI Studio
- Azure AI Studio – Build Intelligent Apps, Agents, and Automations
- Generative AI on Azure
- AWS Advanced GenAI & Machine Learning
- Amazon Bedrock Core
- Bedrock GuardRails & Agents
- Deploy Intelligent AI Agents with Amazon Bedrock
- RAG & SageMaker on AWS
- Attention Mechanism and Transformers
- Transformer Models and BERT Model
- Natural Language Processing – Transformers with Hugging Face
- Using Hugging Face Transformers for Generative Tasks
- Gen AI Using Hugging Face
- Optimizing GenAI Models
- Benchmark and Evaluation of LLM Capabilities
- Model Context Protocol (MCP) for Agentic AI
- MCP for Leaders – Architecting Context-Driven AI
- Orchestrating Agent Teams with CrewAI
- Designing Multi-Agent Systems with AutoGen for Advanced Task Automation
- Mastering AI Agents for Databases
- Crafting AI Agents with Persistent Memory
- Advanced Automation – Connecting Microsoft Copilot to External Data
- Mastering Microsoft Copilot – Generative AI for 365 Productivity
And many more..
Progression:
Generative AI Fundamentals → Prompt Engineering → LLMs → RAG → AI Agents → Multi-Agent Systems → MCP → GenAI Development → Cloud AI → Enterprise Copilot → AI Governance
Who Should Enroll in this Program?
Cloud Engineers and Cloud Architects seeking to strengthen their AWS, Azure, or Google Cloud expertise.
DevOps Engineers looking to advance their skills in CI/CD, automation, containers, infrastructure, and cloud operations.
Software Developers and Application Engineers developing and deploying cloud-native applications.
IT Operations and Platform Engineers responsible for cloud infrastructure, reliability, monitoring, and automation.
Network and Infrastructure Professionals moving into cloud architecture and cloud operations roles.
Professionals transitioning into cloud and DevOps careers who want a structured pathway from foundational concepts to advanced skills.
Prerequisites
There are no universal prerequisites for the Cloud Computing & DevOps Professional Learning Package because the catalog includes learning content ranging from beginner-level cloud fundamentals to advanced architecture, DevOps, Kubernetes, security, and MLOps.
Learners can begin with foundational cloud and DevOps content and progressively move toward more advanced technical subjects.
For advanced courses and certification programs, the following knowledge may be beneficial:
- Basic understanding of IT infrastructure, networking, operating systems, or software development.
- Familiarity with fundamental cloud computing concepts.
- Basic understanding of version control and software development workflows for DevOps-focused courses.
- Basic programming or scripting knowledge may be useful for automation and cloud development topics.
- Familiarity with Linux, networking, containers, or databases may be beneficial for selected technical courses.
- Previous cloud experience can be helpful for advanced architecture and professional-level certification courses.
Individual courses, learning paths, and certification programs may have their own specific prerequisites or recommended experience levels.
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