AWS and Google IT support are leading fields in remote work, careers that pay exceptionally well and can be worked from anywhere with access to broadband internet. With minimal equipment required, this guide has been made to promote remote work on Tribal Reservations. Economic independence starts with access to steady income, and a curated guide has been made to give students proven pathways to career success.
All of the content here was designed using ChatGPT, and cross checked with data from career analytics data. Parameters were input to give viewers relevant information to job prospects and expectations in each specific field.
1. The First Table simply describes the field and what one would expect in the pursuit of those certificates.
2. The Second Table highlights market data related to the field, so that students can decide whether speed to work or long-term stability takes precedence.
3. The Third Table is a complete summary of how to become certified for each career path. With price ranges and expected time of completions, so that students can plan out their course of action when choosing to begin any of the course trainings.
| Career Field | Google Certificate | AWS Certificate | What This Field Entails (Differences Included) | Equipment Needed |
|---|---|---|---|---|
| IT Support / Help Desk | Google IT Support | AWS Cloud Practitioner (loosely related) | Google focuses on traditional IT support: fixing laptops, printers, OS issues, email setup, and basic networking. It’s a great starting point with real-world troubleshooting skills. AWS Cloud Practitioner teaches cloud concepts, not desktop troubleshooting — it’s a foundational cert, not a helpdesk role cert. | Laptop/PC, headset, ticketing software, remote desktop tools |
| IT Automation / Scripting | Google IT Automation with Python | AWS CloudOps Engineer – Associate | Google teaches you to write Python scripts to automate mundane tasks (e.g. backups, log cleanup). It’s closer to internal IT process automation. AWS CloudOps (renamed from SysOps Administrator in 2025) focuses more on cloud automation: managing EC2, monitoring CloudWatch metrics, managing IAM, and maintaining uptime for AWS systems. | Laptop, Python IDE (VSCode), AWS CLI, Linux terminal |
| Project Management | Google Project Management | ❌ No AWS equivalent | Google teaches classic project management: Agile/Scrum, stakeholder meetings, timelines, and reporting. This is human-centered, using tools like Asana or Jira. AWS has no PM cert, but PMs often work with AWS teams, managing cloud or DevOps engineers without needing deep technical expertise. | Laptop, Zoom, PM tools (Trello, Jira, Asana), calendar software |
| Cybersecurity | Google Cybersecurity | AWS Security Specialty | Google teaches general security operations: phishing detection, network security, endpoint protection. AWS dives into cloud security: IAM policies, encryption, CloudTrail logging, and securing S3/EC2 resources. Google is more general-purpose SOC1/SOC2; AWS requires prior AWS experience to understand cloud-specific risks. | Linux VM, security tools (Wireshark, Splunk), AWS account |
| Data Analytics | Google Data Analytics | AWS Data Engineer – Associate | Google is focused on business dashboards: SQL, Excel, Google Sheets, Tableau/Looker. It’s beginner-friendly and business-aligned. AWS focuses on big data pipelines: Glue ETL, S3 storage, Redshift queries — more engineering-heavy. Google prepares you for BI/Data roles; AWS trains you for Data Engineering & Cloud Analytics. | Laptop, SQL client, Excel, Tableau or Looker Studio, AWS account |
| Business Intelligence | Google Business Intelligence | ❌ No AWS equivalent (uses 3rd-party tools) | Google teaches BI with SQL and dashboards, using Looker Studio, BigQuery, and similar tools. AWS doesn’t offer a dedicated BI cert but BI integrates with AWS via tools like QuickSight or custom dashboards with Redshift. Google cert prepares you for client-facing analytics; AWS BI happens behind the scenes in data engineering pipelines. | Laptop, dashboard tools, database access |
| Advanced Data / Data Science | Google Advanced Data Analytics | AWS Machine Learning Specialty | Google teaches statistical thinking: regression, clustering, data modeling using Python & Pandas. Meant for analysts/data scientists. AWS teaches ML implementation: training models in SageMaker, using AI tools in a cloud pipeline. Google emphasizes theory and interpretation; AWS emphasizes deployment and scaling. | High-RAM laptop, Jupyter, Python IDE, AWS SageMaker |
| Cloud Architecture | ❌ No Google equivalent | AWS Solutions Architect Associate | AWS cert teaches how to build scalable cloud infrastructure: setting up secure networks (VPCs), designing compute/storage layers, and optimizing for cost & reliability. Google has no direct cert, but knowledge from Google Cloud could help. Solutions Architects don’t usually code — they design systems for engineers to build. | PC, diagram tools (Lucidchart), AWS account, console access |
| Cloud Operations / DevOps | ❌ (Google IT Automation is closest) | AWS DevOps Engineer – Professional | Google’s automation cert scratches the surface with scripting. AWS DevOps goes much deeper: CI/CD pipelines, Terraform, CloudFormation, Jenkins, infrastructure-as-code. DevOps is about stability, speed, and automation of the entire deployment cycle. AWS cert is for experienced engineers, not entry-level. | CLI tools, AWS console, GitHub, CI/CD tools like Jenkins |
| Cloud Development | ❌ No Google cert | AWS Developer Associate | AWS cert trains you to build cloud-native applications: Lambdas, API Gateways, DynamoDB integration, event-based systems. Developers need to know APIs, SDKs, and scripting. Google doesn’t currently offer a programming or dev cert, but you can self-study frontend/backend and complement it with AWS services later. | IDE (VSCode), Postman, AWS SDKs, serverless frameworks |
| UX/UI Design | Google UX Design | ❌ No AWS cert | Google teaches UI design principles: user research, wireframing, prototyping in Figma, usability testing. It’s a creative role, very different from AWS’s infrastructure focus. No AWS equivalent. Expect to work closely with developers and PMs to ensure the product is intuitive and appealing. | Laptop, Figma, Miro, optional pen tablet |
| Digital Marketing | Google Digital Marketing & E-commerce | ❌ No AWS cert | Google covers ad campaign management, email marketing, analytics, customer funnels. It’s creative and strategy-based. AWS doesn’t offer marketing education. Expect to use platforms like Google Ads, Meta Ads, and email tools like Mailchimp. Strong freelance potential and remote work options. | Laptop, browser, Google Ads/Analytics, social media platforms |
| AI Fluency / Applied AI | Google AI Essentials / Google AI Professional Certificate | AWS AI Practitioner | Google teaches practical workplace AI: prompting, AI-assisted analysis and writing, and safe-use judgment. AWS AI Practitioner covers foundational AI/ML concepts and AWS AI services. Neither is a standalone career path — they are fast, low-cost add-ons that strengthen every field above. | Laptop, browser, free AI tool accounts |
The Table Below Describes the Certificates needed for the above fields. Google IT certification are provided by Coursera, their catalogue of needed fields can be found here, at grow.google. While viewing the Coursera material is free through the audit option, paying for the monthly Coursera subscription allows students to submit course assignments to officially get the certification. This costs $49/monthly in the US (after a 7-day trial).
Google IT courses through coursera are also qualified for financial assistance to students.
Instructions for the Financial Aid Application can be found here.
Note: financial aid is only accepted on a per course basis. Specializations are multiple courses bundled together. So when applying for a specialization such as Google IT specializations, you will need to apply independently for each independent course. Financial aid doesn't automatically cover all the courses unless you apply for each portion of the specialization.
Try before you Buy: Try completing "audits" of the courses you're interested in before applying for a certification. Because you may find that you don't enjoy the topic. Auditing a Coursera course allows you to view all the material for free, but you cannot submit assignments for certification completion until you're fully enrolled. This would be a good method to try out courses before fully committing to the certificate completion.
Official AWS training for Exams can be found here. AWS training modules are entirely free and self-paced for anyone to enroll at anytime.
All AWS certification exams can be found here. AWS only charges for each exam fee.
New for 2026: demand for AI skills in entry-level job postings has roughly doubled in the past year, and some industry surveys put it as high as a third of postings. Google's AI certificates (AI Essentials, and the AI Professional Certificate launched in 2026) and the AWS AI Practitioner exam are quick, low-cost additions that strengthen every field below.
Exam savings: after you pass any AWS exam, AWS issues a 50% discount voucher good for your next exam — plan your certification stack to chain the discount.
Need income sooner while you study? See the Entry-Level Remote Jobs guide.
The Table Below is ordered by difficulty of Certificate Completion — scale: 🟢 easy, 🟡 moderate, 🔴 hard; more circles = harder
| Rank | Certificate | Platform | 🪜 Ease Level | 💬 Why Easier / Harder | 🕒 Time to Complete | 💰 Cost (w/ Notes) | 🤖 AI Resistance | 🧠 Why AI-Resistant |
|---|---|---|---|---|---|---|---|---|
| 1 | Google AI Essentials | 🟢 Very Easy | Practical AI use; no coding | 1–4 weeks (~10 hrs total) | $49 (one Coursera month covers most learners) | 🟡 Medium | Teaches you to work with AI — the skill employers now screen for | |
| 2 | Google AI Professional Certificate | 🟢 Very Easy | 7 courses, prompting → AI app building; no coding required | 1–3 weeks (~8–11 hrs total) | $49 (one Coursera month; includes 3-month Google AI Pro trial) | 🟡 Medium | Deeper AI fluency than Essentials, with hands-on workplace scenarios | |
| 3 | Google IT Support | 🟢 Very Easy | Beginner, no tech skill needed | 3–6 months | $147–$294 (Coursera monthly) | 🟢 Very High | Tech support needs live human interaction | |
| 4 | Google Project Management | 🟢 Very Easy | Soft-skills focused, no coding | 4–6 months | $196–$294 (Coursera monthly) | 🟢 Very High | Team coordination & leadership remain human | |
| 5 | Google Digital Marketing & E-commerce | 🟢 Very Easy | Intuitive tools, creative focus | 3–4 months | $147–$196 (Coursera monthly) | 🟡 Medium | Strategy is human-led, but tools are automating | |
| 6 | AWS Cloud Practitioner | AWS | 🟢🟢 Easy | Conceptual only, no hands-on required | 2–4 weeks | $100 (Flat exam fee) | 🟢 High | Cloud basics support AI, not replace humans |
| 7 | AWS AI Practitioner | AWS | 🟢🟢 Easy | Foundational AI/ML concepts, no hands-on build | 4–8 weeks | $100 (Flat exam fee) | 🟡 Medium | Broad AI literacy that complements every AWS path |
| 8 | Google UX Design | 🟢🟢 Easy | No coding, portfolio-based | 5–6 months | $245–$294 (Coursera monthly) | 🟡 Medium | Design empathy & testing can’t be auto-generated | |
| 9 | Google Data Analytics | 🟢🟢 Easy | SQL & dashboards, beginner-friendly | 6 months | $294 (Coursera monthly; less if faster) | 🟢 High | Data interpretation still needs human insight | |
| 10 | Google Business Intelligence | 🟡🟡🟡 Moderate | Stronger SQL + dashboard logic | 4–6 months | $196–$294 (Coursera monthly) | 🟢 High | Business context isn’t replicable by AI easily | |
| 11 | Google Cybersecurity | 🟡🟡🟡 Moderate | Entry-level but dense in concepts | 5–6 months | $245–$294 (Coursera monthly) | 🟢 Very High | Threat response demands ethical reasoning | |
| 12 | Google IT Automation with Python | 🟡🟡🟡 Moderate | Coding starts here; script-heavy | 4–6 months | $196–$294 (Coursera monthly) | 🟢 High | Custom scripting is case-based and manual | |
| 13 | AWS Solutions Architect Associate | AWS | 🟡🟡🟡 Moderate | Network & system logic required | 3–4 months | $150 (Flat exam) | 🟢 Very High | No AI can currently design full infrastructure |
| 14 | AWS Developer Associate | AWS | 🟡🟡🟡 Moderate | Cloud coding, SDKs, APIs | 2–4 months | $150 (Flat exam) | 🟢 High | Programming logic needs humans to structure |
| 15 | AWS CloudOps Engineer – Associate | AWS | 🟡🟡🟡🟡 Moderate–Hard | CLI skills, monitoring, troubleshooting | 2–3 months | $150 (Flat exam) | 🟢 High | Live operations need real-time human input |
| 16 | AWS Data Engineer – Associate | AWS | 🟡🟡🟡🟡 Moderate–Hard | Big data tools (Redshift, Glue, Athena) | 3–6 months | $150 (Associate exam) | 🟢 High | Pipelines still rely on human interpretation |
| 17 | Google Advanced Data Analytics | 🟡🟡🟡🟡 Moderate–Hard | Math-heavy, Python, statistical modeling | 6–9 months | $294–$441 (Coursera monthly) | 🟢 High | Understanding significance & outcomes is human-led | |
| 18 | AWS Security Specialty | AWS | 🔴🔴🔴🔴🔴 Hard | IAM, encryption, logging, threat modeling | 4–6 months | $300 (Specialty exam) | 🟢 Very High | Breach decisions & compliance require humans |
| 19 | AWS DevOps Engineer – Professional | AWS | 🔴🔴🔴🔴🔴🔴 Very Hard | Requires experience with CI/CD, IaC | 4–6 months | $300 (Flat exam) | 🟢 High | Full automation still needs creative oversight |
| 20 | AWS Machine Learning Specialty | AWS | 🔴🔴🔴🔴🔴🔴 Very Hard | Prior ML + AWS + data science required | 4–6 months | $300 (Specialty exam) | 🟡 Medium | Field is building AI; overlap is higher risk |
The Table Below is ordered by ease of entry per Field — scale: 🟢 easy, 🟡 moderate, 🔴 hard; more circles = harder
| Rank | Certificate | Platform | Ease of Entry w/ Cert Only | Needs More Certs or XP? (With Notes) | Current Job Market | Growth Outlook | 📊 Projected Openings/yr | Entry Salary | Avg Salary |
|---|---|---|---|---|---|---|---|---|---|
| 1 | Google IT Support | 🟢 Very Easy | ❌ No — cert can still land Tier 1 help desk roles; a small home lab and AI-tool troubleshooting practice make you stand out | ✅ Very High | 📉 −3% (growth projection) | ~50,500/yr — mostly replacement hires | $42K–52K | $55K–70K | |
| 2 | Google Project Management | 🟢 Very Easy | ❌ No — Entry-level PM or coordinator jobs accept the cert | ✅ Very High | 📈 ~6% (growth projection) | ~78,200/yr | $48K–60K | $70K–90K | |
| 3 | Google AI Essentials | 🟢 Very Easy | ❌ No — not a job cert by itself; the fastest way to add the AI skills employers increasingly screen for (entry-level AI-skill requirements roughly doubled over the past year) | ✅ Very High (as an add-on) | 📈 Rapid | — | — | — | |
| 4 | Google AI Professional Certificate | 🟢 Very Easy | ❌ No — 7 short courses (~8–11 hrs) ending in AI app-building; an AI-fluency add-on that pairs with any field here, and includes a 3-month Google AI Pro trial | ✅ Very High (as an add-on) | 📈 Rapid | — | — | — | |
| 5 | Google Digital Marketing & E-commerce | 🟢 Very Easy | ❌ No — but AI content tools have thinned junior openings; a small portfolio of real campaigns matters more than before | ✅ High | 📈 ~8% (growth projection) | ~87,200/yr | $42K–52K | $55K–75K | |
| 6 | Google Cybersecurity | 🟢🟢 Easy | ❌ No — Junior SOC roles accept it, but CompTIA Security+ boosts hire chances | ✅ Very High | 📈 29% (growth projection) | ~16,000/yr | $55K–70K | $80K–95K | |
| 7 | AWS Cloud Practitioner | AWS | 🟢🟢 Easy | ✅ Yes — Pair with AWS Solutions Architect or CloudOps for job readiness | ✅ High | 📈 12% (growth projection for network architects) | ~11,200/yr (network architects) | $45K–55K | $55K–65K |
| 8 | Google Business Intelligence | 🟢🟢 Easy | ❌ No — Dashboard examples or SQL project work is beneficial | ✅ Moderate | 📈 ~10% (growth projection for computer occupations) | No direct projection data | $60K–70K | $70K–95K | |
| 9 | Google IT Automation with Python | 🟡🟡🟡 Moderate | ❌ No — But familiarity with Git and Linux helps a lot | ✅ Moderate | 📈 Mixed — sysadmins −4% (growth projection); automation skills in demand | ~14,300/yr (sysadmins) | $55K–65K | $65K–85K | |
| 10 | AWS Solutions Architect Associate | AWS | 🟡🟡🟡 Moderate | ✅ Yes — You need hands-on AWS experience or labs to pass interviews | ✅ High | 📈 12% (growth projection for network architects) | ~11,200/yr (network architects) | $65K–75K | $90K–120K |
| 11 | AWS Developer Associate | AWS | 🟡🟡🟡 Moderate | ✅ Yes — Strong in Python/JavaScript and cloud deployment needed | ✅ High | 📈 ~15% (growth projection for software developers) | ~129,200/yr (software devs incl. QA) | $65K–75K | $85K–115K |
| 12 | Google Data Analytics | 🟡🟡🟡 Moderate | ✅ Yes — market is saturated; you need a 3–5 project portfolio plus SQL/Python beyond the course | ⚠️ Saturated | 📈 34% (growth projection for data scientists) — entry market is crowded | ~23,400/yr (data scientists) | $52K–65K | $70K–85K | |
| 13 | AWS CloudOps Engineer – Associate | AWS | 🟡🟡🟡🟡 Moderate–Hard | ✅ Yes — Needs prior AWS Cloud Practitioner and some admin experience | ✅ High | 📉 −4% sysadmins (growth projection); cloud ops holds up better | ~14,300/yr (sysadmins) | $70K–80K | $90K–110K |
| 14 | AWS Data Engineer – Associate | AWS | 🟡🟡🟡🟡 Moderate–Hard | ✅ Yes — Requires SQL, ETL, and AWS tools like Glue and Redshift | ✅ High | 📈 Strong (no direct projection data) | No direct projection data | $75K–85K | $95K–130K |
| 15 | Google Advanced Data Analytics | 🟡🟡🟡🟡 Moderate–Hard | ✅ Yes — Must know Python + stats, and build a personal project portfolio | ✅ Moderate | 📈 34% (growth projection for data scientists) | ~23,400/yr (data scientists) | $70K–80K | $85K–110K | |
| 16 | Google UX Design | 🔴🔴🔴🔴🔴 Hard | ✅ Yes — junior market is crowded with experienced designers; a strong Figma portfolio plus a domain focus (health, fintech, gov) is essential | ⚠️ Saturated | 📈 7% (growth projection) | ~14,500/yr (web devs & designers) | $50K–65K | $70K–95K | |
| 17 | AWS Security Specialty | AWS | 🔴🔴🔴🔴🔴 Hard | ✅ Yes — Prior AWS cert and hands-on security config experience needed | ✅ High | 📈 29% (growth projection) | ~16,000/yr | $85K–95K | $100K–130K |
| 18 | AWS DevOps Engineer – Professional | AWS | 🔴🔴🔴🔴🔴🔴 Very Hard | ✅ Yes — Need CI/CD, AWS pipeline tools, and real-world infra use | ✅ High | 📈 ~15% (growth projection for software developers) | ~129,200/yr (software devs) | $90K–100K | $110K–140K |
| 19 | AWS Machine Learning Specialty | AWS | 🔴🔴🔴🔴🔴🔴 Very Hard | ✅ Yes — Must have Python, ML projects, and AWS SageMaker experience | ✅ High | 📈 34% (growth projection for data scientists) | ~23,400/yr (data scientists) | $85K–95K | $105K–135K |
Recommendation: For the Coursera Google IT certifications, I’d recommend “Auditing” the courses for the specialization on your own. Purchase the Plus subscription once you feel you are ready to do the assignments for each course. That way, once you can start the assignments, you’ll have already reviewed all the material and can submit the homework quickly. This can make it so that you can finish an entire specialization in one month instead of several months. Letting you be charged once instead of having to pay multiple times for an extended period of time.