Accenture evaluates candidates using three core pillars:
| Hiring Criteria | What Accenture checks |
|---|---|
| Education & Skills | Degree, domain knowledge, tech stack |
| Practical Experience | Projects, internships, hands-on implementation |
| Valid Certifications | Proof of skill, industry recognition |
So certifications matter because they:
Anyone can write “I know cloud / AI / networking” on a résumé.
A certification proves you truly learned it and passed an evaluation.
Accenture uses ATS to screen resumes.
If certifications match keywords of the job description, your résumé gets shortlisted faster.
If two candidates perform similarly, the certified one is considered more reliable.
Accenture prefers candidates who keep upgrading their skills — because their job involves continuous learning.
Candidates with certifications can be assigned to client projects quickly, which makes hiring them beneficial.
Some certifications are mandatory for certain roles — especially Cloud, SAP, Salesforce, Cybersecurity & Data Engineering.
Below is the most accepted / beneficial certification list role-wise for Accenture:
| Skill area | Recommended certifications |
|---|---|
| Java | Oracle Certified Java Programmer (OCJP) |
| Python | PCAP / PCEP |
| Full Stack | Meta Full-Stack Certification / IBM Full-Stack |
| Angular/React | Frontend developer certificates from Meta, Coursera |
| Automation | UiPath RPA Developer Foundation |
| Cloud Platform | Certifications |
|---|---|
| AWS | AWS Cloud Practitioner / Solutions Architect Associate |
| Azure | Microsoft Azure Fundamentals / Azure Administrator |
| Google Cloud | Associate Cloud Engineer |
| DevOps | Docker / Kubernetes / Jenkins / Terraform |
Cloud certifications are one of the strongest additions for Accenture.
| Area | Certification |
|---|---|
| Data Analytics | Google Data Analytics / IBM Data Analyst |
| SQL | Oracle SQL Associate |
| Data Engineering | Google Professional Data Engineer |
| AI/ML | IBM AI Engineering / TensorFlow Developer |
| Power BI | Microsoft PL-300 |
| Track | Certification |
|---|---|
| Networking | CCNA |
| Cybersecurity | CEH / CompTIA Security+ |
| Cloud Security | AWS Security / Azure Security |
| Platform | Certification |
|---|---|
| SAP | SAP S/4HANA (functional or technical module) |
| Salesforce | Salesforce Administrator / App Builder |
SAP & Salesforce certified applicants get very high preference even as freshers.
| Domain | Certification |
|---|---|
| Business Analysis | Google Business Analyst |
| ITIL | ITIL Foundation Certification |
| HR / People Ops | HRCI/SHRM foundation certification |
| MIS / Excel | Advanced Excel / Power BI |
| Quality | Value |
|---|---|
| 1 strong industry-recognized certification | Very strong |
| 2–3 relevant certifications | Ideal |
| 6+ random certifications | Weak (looks fake / rushed) |
Only add certifications relevant to the job role you’re applying for.
Best flow:
Header → Summary → Skills → Projects → Certifications → Experience (if any) → Education
Tip: Highlight certifications in Summary section too.
Example:
Summary: Cloud enthusiast with hands-on AWS projects and certified as AWS Solutions Architect Associate.
| Question Type | Example |
|---|---|
| Knowledge Validation | What topics were covered in your certification? |
| Project Connection | Did you apply that knowledge in any real project? |
| Hands-On Exposure | Can you explain any lab you did during certification? |
| Tools Used | Which tools did you use during the course / labs? |
| Latest Tech | What updates have been recently added to that technology? |
Accenture does not check whether the certification is paid or free — only the skill clarity matters.