Google Skills vs Sellio: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of Google Skills and Sellio — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
Google Skills
Free Google platform offering hands-on cloud training, skill badges, labs and certifications for beginners and Google Cloud partners.
Key features
- Hands-on Lab Environments: Interactive, browser-based labs that let learners perform real tasks on Google Cloud services (e.g., Kubernetes Engine, BigQuery, Cloud Storage) to build practical skills and earn lab completions.
- Skill Badge Paths: Curated multi-lab 'quests' and skill badge programs that group labs into role- or topic-based tracks (Networking, Data Engineering, Workspace) to demonstrate proficiency.
- Mixed Free and Credit-Based Access: A catalog with both no-cost labs/quests and credit-priced challenge labs; introductory content is often free while advanced or timed challenge labs use credits.
- Role-Based Courses and Quests: Structured learning paths for beginners, developers, operators, and Google Cloud partners that combine videos, labs, and assessments for progressive skill building.
- Certification & Verification Support: Preparation materials and hands-on practice aligned with Google Cloud certifications and partner enablement, enabling learners to prepare for official exams and showcase badges.
- Diverse Topic Coverage: Wide range of topics including AppSheet no-code apps, Google Workspace admin and security, SRE practices, Looker/LookML, ML APIs, Dataplex/BigQuery, and DevOps pipelines.
- Self-paced courses covering Google Cloud fundamentals and advanced topics (Kubernetes, BigQuery, Dataflow, Apigee, Looker, AppSheet, Workspace).
- Hands-on challenge labs running in real Google Cloud environments (Cloud Console and gcloud CLI).
- Skill badges and lab-based assessments to validate practical competencies.
- Course catalog includes introductory, intermediate, and advanced labs with estimated durations and credit requirements.
- Integration-focused labs that teach working with Google Cloud APIs, Cloud Storage, Pub/Sub, Cloud Functions, and machine learning APIs (Vision, Speech, Natural Language).
- Support for multiple learning modalities: no-code app development (AppSheet), infrastructure-as-code and CI/CD (Cloud Build, GKE), and observability (Managed Service for Prometheus).
- Partner and enterprise-focused learning paths and certification preparation resources.
- Console- and command-line-based exercises with optional SDK/CLI usage (gcloud, kubectl).
- Some labs and learning quests are free; advanced/challenge labs may require credits or paid access.
Best for
- Onboarding Cloud Engineers: New hires or junior engineers complete gated quests and hands-on labs to gain practical experience with Google Cloud services before contributing to production.
- Certification Preparation: Professionals use guided labs and challenge scenarios to practice real tasks and prepare for Google Cloud certification exams (role-based practice and verification).
- No-Code Application Development: Product teams and citizen developers learn and build production-ready no-code apps with AppSheet through foundations labs and quests.
- Google Workspace Administration: IT administrators train on deployment planning, mail management, and security best practices using guided labs and courses tailored for Workspace.
- DevOps and Kubernetes Practice: DevOps engineers implement CI/CD pipelines and manage Kubernetes Engine deployments in lab environments to validate workflows and earn related skill badges.
- Partner Enablement and Employee Training: Google Cloud partners and enterprises use the platform to upskill staff, track progress, and produce verifiable skill badges for customer-facing teams.
- Onboarding engineers to Google Cloud fundamentals and core infrastructure.
- Preparing candidates for Google Cloud professional certifications and role-based exams.
- Hands-on training for DevOps and SRE practices using GKE, Cloud Build, and Prometheus.
- Building data engineering and analytics skills with BigQuery, Looker, Dataplex, and BigLake.
- Rapid prototyping of no-code/low-code applications with AppSheet and Apps Script.
- Learning to integrate and secure APIs using Apigee and Google Cloud API services.
- Training administrators on Google Workspace deployment, security, and mail management.
Sellio
Sellio
Sellio is an AI customer support platform that unifies live chat, WhatsApp, Instagram, Telegram and email in one shared inbox with optional AI agents.
Key features
- Shared Inbox: One inbox for website chat, WhatsApp, Instagram, Telegram and email, keeping every reply, note and handoff in a single thread.
- Live Chat Widget: Embed a brand-matched chat widget on any site with one snippet and capture visitor context up front.
- AI Support Agent: Train an agent on your site, docs and FAQs so it answers first on website chat and hands off to a teammate without losing context.
- Workflow Automations: Build routing rules, chat triggers and task automations to assign and escalate conversations automatically.
- Ticketing: Turn a conversation into a ticket, assign it and keep the full history as work continues.
- Support Analytics: Track volume, response time, CSAT, automation and AI resolution rates, with scheduled reports on higher plans.
- Voice Replies: Let the AI agent answer with a custom voice inside the website widget on the Plus plan.
- Cost Control for AI: Included monthly AI credits with optional top-ups so teams decide when and how much to spend on AI.
Best for
- Ecommerce Support: Run live chat on a Shopify store in the same inbox as WhatsApp, Instagram and email.
- Hospitality Front Desk: Handle guest messages from WhatsApp, Instagram and website chat in one inbox for front desk and ops.
- SaaS Customer Success: Offer website chat first with other channels alongside it for a single team inbox.
- Agency Client Support: Give an agency team a shared inbox to assign, note and resolve client conversations together.
- AI-First First Response: Deploy an AI agent to answer common questions and escalate complex ones to humans.
- Help Desk Ticketing: Raise work from a customer conversation, assign it and keep history for follow-up.