Build Skills That Companies Actually Use.
Explore Eduarn's practical technology training programs across Artificial Intelligence, Machine Learning, Data Science, Cloud, DevOps, DevSecOps, Full Stack Development and Professional Skills.
Weekend demos start this Saturday & Sunday. Choose a course, experience the training approach, speak with a trainer and decide the right learning path for your career or organization.
🎯 Choose Your Next Technology Skill
Choose a learning path that matches your current skills, career goals, technology environment and the role you want to target.
Eduarn's programs are structured around practical learning, demonstrations, hands-on exercises, projects, real-world tools and professional guidance.
🤖 AI, Machine Learning & Data
Artificial Intelligence
⏱ 25–40 Hours- AI fundamentals
- Machine learning concepts
- Generative AI fundamentals
- AI application development
- Real-world AI use cases
Prompt Engineering
⏱ 25–30 Hours- Prompt design fundamentals
- Structured prompting
- Role, context & constraints
- AI productivity workflows
- Enterprise GenAI use cases
Machine Learning
⏱ 30–40 Hours- ML fundamentals
- Supervised & unsupervised learning
- Feature engineering
- Model evaluation
- Practical ML projects
Data Science
⏱ 30–40 Hours- Python for Data Science
- Data preparation
- Exploratory data analysis
- Visualization
- Machine learning foundations
Python Full Stack
⏱ 30–40 Hours- Python programming
- Web development
- REST APIs
- Database integration
- Full-stack project development
Java Full Stack
⏱ 30–40 Hours- Core Java
- Spring / Spring Boot
- REST APIs
- Database integration
- Full-stack application development
Go Programming
⏱ 25–30 Hours- Go fundamentals
- Concurrency
- REST APIs
- Microservices concepts
- Cloud-native development
☁️ Cloud Computing & Certification-Aligned Learning
AWS Cloud
⏱ 30–40 Hours- AWS Cloud fundamentals
- Compute, storage & networking
- IAM & security fundamentals
- Monitoring and architecture
- Certification-oriented preparation
- Multiple AWS certification pathways can be supported based on learner level
Microsoft Azure Cloud
⏱ 30–40 Hours- Azure fundamentals
- Compute & storage
- Networking
- Identity & security
- Azure DevOps integration
- Certification-oriented preparation
Google Cloud Platform
⏱ 30–40 Hours- GCP fundamentals
- Compute & storage
- Networking
- IAM
- Cloud-native architecture
- Certification-oriented preparation
Oracle Cloud
⏱ 25–40 Hours- Oracle Cloud fundamentals
- Compute & networking
- Storage
- Identity & security
- Enterprise cloud use cases
- Certification-oriented preparation
🚀 DevOps, DevSecOps & Platform Engineering
DevOps Engineering
⏱ 30–40 Hours- DevOps culture & lifecycle
- CI/CD
- Git workflows
- Build & release automation
- Containers
- Cloud DevOps practices
DevSecOps
⏱ 30–40 Hours- Security in CI/CD
- Secrets management
- Image scanning
- Supply-chain security
- RBAC
- Secure pipeline practices
Docker + Kubernetes
⏱ 30–40 Hours- Container fundamentals
- Dockerfiles
- Images & registries
- Kubernetes architecture
- Deployments & Services
- Production-oriented labs
OpenShift
⏱ 25–40 Hours- OpenShift architecture
- oc CLI
- Deployments & Services
- Routes
- Secrets & ConfigMaps
- Enterprise deployment workflows
GitOps with Argo CD
⏱ 25–40 Hours- GitOps principles
- Argo CD architecture
- Applications & Projects
- Sync lifecycle
- Drift detection
- OpenShift / Kubernetes deployment
JFrog Artifactory & Xray
⏱ 25–40 Hours- Repository types
- Docker image management
- Artifact versioning
- GitLab integration
- JFrog Xray scanning
- Build promotion
🛠️ DevOps Tools & Automation
Ansible
⏱ 25–30 Hours- Automation fundamentals
- Inventory
- Playbooks
- Roles
- Enterprise automation patterns
Ansible Automation Platform
⏱ 25–40 Hours- AAP architecture
- Automation Controller
- Projects & credentials
- Job templates
- Enterprise automation workflows
AWX
⏱ 25–30 Hours- AWX architecture
- Projects
- Inventories
- Credentials
- Job templates & automation
Terraform
⏱ 25–40 Hours- Infrastructure as Code
- Providers & resources
- Variables & modules
- State management
- Cloud infrastructure automation
- AWS / Azure / GCP / Oracle Cloud scenarios
Jenkins
⏱ 25–40 Hours- Jenkins architecture
- Pipelines
- Plugins
- CI/CD workflows
- Git integration
- Deployment automation
GitLab CI/CD
⏱ 25–40 Hours- GitLab fundamentals
- Repositories
- GitLab CI pipelines
- Runners
- Artifacts
- Enterprise CI/CD practices
GitHub & GitHub Actions
⏱ 25–30 Hours- Git fundamentals
- GitHub workflows
- Actions
- CI/CD automation
- Branching strategies
Azure DevOps
⏱ 25–40 Hours- Azure Repos
- Azure Pipelines
- Boards
- Artifacts
- Release workflows
- Cloud DevOps practices
Docker
⏱ 25–30 Hours- Container architecture
- Dockerfiles
- Images
- Tagging & versioning
- Registries
- Container workflows
Podman
⏱ 25–30 Hours- Container fundamentals
- Podman CLI
- Images & containers
- Registries
- Rootless containers
- Enterprise container workflows
☁️ Cloud + DevOps Practical Tracks
Eduarn can structure practical learning tracks around combinations such as:
- AWS + Terraform + Ansible + Docker + Kubernetes
- Azure + Terraform + Ansible + Azure DevOps
- GCP + Terraform + Kubernetes + GitOps
- Oracle Cloud + Terraform + Ansible
- Cloud + DevSecOps + CI/CD + Monitoring
- Kubernetes / OpenShift + GitLab + JFrog + Argo CD
📈 Agile, SRE, Release Management & Professional Skills
Agile
⏱ 25–30 Hours- Agile principles
- Agile ceremonies
- Team collaboration
- Backlog management
- Practical Agile workflows
Scrum
⏱ 25–30 Hours- Scrum framework
- Roles & responsibilities
- Sprints
- Backlog
- Daily Scrum
- Reviews & retrospectives
SRE
⏱ 25–40 Hours- SRE principles
- SLI / SLO / SLA concepts
- Error budgets
- Reliability engineering
- Incident management
- Observability
Release Management
⏱ 25–30 Hours- Release planning
- Change management
- Release coordination
- Deployment workflows
- Risk management
- Release governance
💡 What Happens Inside the Training?
Learn the concepts and understand where the technology fits in a real organization.
See the technology being implemented through instructor-led demonstrations.
Work through hands-on labs and guided exercises.
Apply the learning through practical projects and scenarios.
Connect the technology with career, team and enterprise requirements.
👨💻 For Working Professionals
You don't always need to start from zero. Our learning paths can be structured around your existing experience and the technology skills you want to add next.
- Move from Developer → Cloud / DevOps
- Move from System Administration → Automation / DevOps
- Move from DevOps → DevSecOps / Platform Engineering
- Move from Developer → AI / ML
- Move from IT Operations → SRE / Cloud
- Build certification-oriented cloud knowledge
🏢 For L&D, HR & Corporate Training Teams
Eduarn can support organizations with customized training programs aligned to roles, technology stacks, skill gaps and business objectives.
- Corporate technical training
- Cloud & DevOps upskilling
- AI & Generative AI programs
- DevSecOps & cybersecurity-focused learning
- Kubernetes / OpenShift training
- Full Stack development programs
- Agile, Scrum, JIRA & professional skills
- Customized 25–40+ hour learning programs
- Instructor-led and hands-on learning
⭐ Popular Eduarn Program
AI & ML Career Accelerator
🎯 Career-Focused Learning- Python fundamentals
- Data Science foundations
- Machine Learning
- Generative AI
- LLM application concepts
- RAG
- AI Agents
- Practical projects
- Interview & career preparation
🔥 Don't Just Watch the Demo. Experience the Training.
Your next career move could start with one practical learning session.
Join a weekend demo • Talk to a trainer • Choose your path • Start building
Whether you are a student, working professional, career switcher, technical leader, L&D professional or HR team, you can start with a discussion about your learning requirement.
AI • ML • Data Science • Python • Full Stack • Cloud • DevOps • DevSecOps • Kubernetes • OpenShift • GitOps • Terraform • Ansible • Docker • Jenkins • GitLab • GitHub • Azure DevOps • Agile • Scrum • JIRA • SRE • Release Management
📩 Enquire with Eduarn and let us help you identify the right training path for your goals.
Looking for industry-focused training for yourself or your team?
ReplyDeleteEduarn offers AI, Machine Learning, Prompt Engineering, Data Science, Python, Java Full Stack, AWS, Azure, GCP, DevOps, DevSecOps, Kubernetes, Docker, Terraform, Ansible, GitLab, Jenkins, SRE, Agile, Scrum and more.
🎯 25–40 hours of practical, hands-on learning
👨💻 Weekend & professional batches
🏢 Corporate & customized training
🎓 Certification-focused learning
🤝 1-to-1 demos and course consultations
👉 Book a 1-to-1 demo or submit your training enquiry:
https://eduarn.com/corporate-training-enquiry
⭐ Popular AI & ML Career Accelerator:
https://eduarn.com/training/ai/ai-ml-career-accelerator-online
L&D, HR and Training Managers: If you're planning upcoming technology upskilling programs, connect with Eduarn for customized training options.
What is Eduarn?
ReplyDeleteEduarn stands for Education + Learn + Earn, a practical learning platform designed to connect education with real-world skills and career opportunities. From AI and Machine Learning to Cloud, DevOps, DevSecOps, Full Stack Development and professional skills, Eduarn helps students, professionals, organizations and L&D teams build skills that matter in the modern workplace.
Eduarn — Learn. Skill Up. Earn. Grow. 🚀
Popular AI & ML Career Accelerator:
ReplyDeletehttps://eduarn.com/training/ai/ai-ml-career-accelerator-online
Popular AI & ML Career Accelerator:
ReplyDeleteAI ML Course