Microsoft Sentinel Advanced Training
Engineer normalized detections with ASIM, hunt threats from a hypothesis, automate response with approval-gated playbooks, and run Microsoft Sentinel at enterprise scale with detections as code.
- Level 4 of 4
- Prerequisite: Intermediate
- Live online: max 8-10 hours
- Corporate: 5 days
- Self-paced: 1-year LMS
- Curriculum updated 1 November 2026
Free demo class · Free 10-15 min fit call · Miss the batch? Join next month's · Pay by UPI, cards, net banking or PayPal
About Microsoft Sentinel Advanced Training
Microsoft Sentinel is Microsoft's cloud-native SIEM and SOAR. It collects security data from Microsoft, multicloud and on-premises sources into a Log Analytics workspace, detects threats with analytics rules, groups alerts into incidents and automates response, all from the Microsoft Defender portal.
Advanced covers Days 1-5: everything in Intermediate, then ASIM-based detection engineering, hypothesis-led threat hunting mapped to MITRE ATT&CK, approval-gated Logic Apps playbooks, enterprise workspace architecture, analytics and data-lake tiers, security-data economics, detections as code with GitHub or Azure DevOps, platform health and a final capstone.
Training is hands-on: every day ends with lab evidence you keep, and a progression gate checks that you are ready for the next level. The course teaches the Defender portal experience, the one Microsoft is moving every customer to.
What you will be able to do after Advanced
Engineer normalized detections
Use ASIM parsers and schemas to build multi-vendor, multi-stage detections and test them against a synthetic attack chain.
Hunt with a hypothesis
Run structured hunts mapped to MITRE ATT&CK, record findings and turn them into new detections.
Automate response safely
Build Logic Apps playbooks triggered by automation rules, with approval gates, managed identities and safe failure handling.
Design for the enterprise
Choose workspace and tenant topology, data residency, access boundaries, and analytics versus data-lake tiers.
Ship detections as code
Deploy detections from GitHub or Azure DevOps with validation, peer review, promotion and rollback.
Run Sentinel as a service
Use health and audit telemetry, cost guardrails and MTTD/MTTR measures, and defend your design in a capstone.
Private Microsoft Sentinel training for your security team
DevOpsSchool runs Microsoft Sentinel Advanced Training as a private, day-wise batch: 5 days covering Days 1-5. The agenda is aligned to your tenant, data sources and SOC processes.
- 5 days, day by day (Days 1-5), online or at your office
- A ready, paid lab environment provided by DevOpsSchool, so nobody waits on access
- Examples adapted to your connectors, detections and escalation process
- Progression gates with lab evidence for every participant
- Led by Rajesh Kumar: 200+ corporate trainings delivered
Teams we have trained
Teams trained in Splunk and DevSecOps at Wells Fargo, AstraZeneca, Citrix and John Deere, among 90+ companies on our client list.
Corporate batches are scheduled on demand. Tell us your team size and preferred dates and we reply within 1 hour.
Request a corporate quoteWhere Advanced sits in the Microsoft Sentinel path
Each level adds new days to the previous ones. Corporate days are cumulative; the self-paced plan includes all four levels.
- Level 1Foundation1 day corporateSOC context, architecture and workspace setup
- Level 2Essential2 days corporateKQL, built-in detections and incident triage
- Level 3Intermediate3 days corporateIngestion, correlation, enrichment and tuning
- Level 4Advanced5 days corporateASIM, hunting, SOAR and enterprise scaleYou are here
Choose how you learn
The same agenda in three formats. Pick the one that fits your schedule and goals.
| Live online | Corporate | Self-paced | |
|---|---|---|---|
| Format | Instructor-led online sessions | Private batch for your team, online or onsite | Recorded video lessons in the LMS |
| Duration | Max 8 to 10 hours | 5 days (Days 1-5) | 1 year of LMS access |
| Schedule | Weekday batch on the 1st, weekend batch on the first Saturday of every month | On demand, on your dates | Start any day |
| Labs | Your own Azure free trial or local setup, set up with the trainer | Ready lab environment provided | Guided lab videos |
| Support | Live Q&A, WhatsApp, recordings for a year | Trainer and team Q&A throughout | LMS and email support |
| Best for | Individuals who want guidance and feedback | Security teams adopting Sentinel together | Busy schedules and self-starters |
1st of every month
Starts on the 1st of every month. Max 10 learners, so every lab gets reviewed.
first Saturday of the month
Starts on the first Saturday of every month, for working professionals. Max 10 learners.
On demand
Private sessions at a time that suits you. Ask us for availability.
Why Advanced-level Sentinel skills matter
Security teams receive more alerts than they can investigate, from tools that do not talk to each other. A SIEM such as Microsoft Sentinel brings that telemetry together so analysts can detect, investigate and respond in one place.
Organisations that run Microsoft 365, Azure or Microsoft Defender increasingly operate their SOC from Sentinel in the Defender portal, which makes the people who can deploy, query, tune and automate it central to the security team.
Engineer normalized and higher-fidelity detections, run a hypothesis-led hunt, and automate a controlled response through Logic Apps. Design a production-ready Sentinel operating model, manage security data at scale, deliver detection content as code, and validate end-to-end readiness.
Analysts hunt a staged identity-compromise sequence and use an approval-gated playbook to notify the incident commander and update an incident-management ticket. A regulated multinational operates a unified SOC spanning Azure and third-party systems while maintaining data residency controls, Git-based detection changes, audit evidence, and defensible telemetry costs.
Question this level answersWhy standardize heterogeneous data, investigate attacker behavior proactively, and orchestrate repeatable response? Why formalize scale, retention, operational health, cost controls, continuity, and change governance?
What you are expected to learn in Advanced
- Day 1: Understand where Sentinel fits in security operations, explain its architecture, and establish a working lab environment.
- Day 2: Use basic KQL, operationalize built-in detection content, and complete a guided alert-to-incident investigation.
- Day 3: Extend telemetry coverage, correlate events, develop a tuned scheduled detection, and improve repeatable case operations.
- Day 4: Engineer normalized and higher-fidelity detections, run a hypothesis-led hunt, and automate a controlled response through Logic Apps.
- Day 5: Design a production-ready Sentinel operating model, manage security data at scale, deliver detection content as code, and validate end-to-end readiness.
- Advanced completion gate: Learners defend architecture and governance choices, show a validated advanced detection and safe playbook, explain data-tier tradeoffs, demonstrate change-control and health monitoring, and complete the integrated capstone.
What you need before you start
- The Essential and Intermediate progression gates: correlated KQL, a tuned custom detection and safe case automation
- Permission to create Logic Apps and managed identities in your lab
- A GitHub or Azure DevOps account for the detections-as-code lab
- A laptop with a current browser
- An Azure free trial or Azure subscription where you can create a resource group and Log Analytics workspace (the trainer shows you how)
- Access to the Microsoft Defender portal with your account
Is Advanced the right level for you?
- Senior SOC analysts, detection engineers and threat hunters
- Security architects and platform owners designing Sentinel at enterprise scale
- SOAR and automation engineers building Logic Apps playbooks
- Teams that want detections managed as code with review and rollback
Have not built and tuned a custom scheduled detection yet? Start with Intermediate instead.
Advanced agenda: Days 1-5
Microsoft Sentinel Advanced Training covers Days 1-5: 64 topics and 15 practical exercises. The new day is open below; earlier days are included and can be expanded. Corporate batches run day by day; the live online course covers the same topics in up to 8 to 10 hours.
Day 1 · Foundation (included)Microsoft Sentinel Essentials, SOC Context, Architecture, and Initial Deployment12 topics · 3 labs
Day outcome: Understand where Sentinel fits in security operations, explain its architecture, and establish a working lab environment.
| ID | Topic | Coverage |
|---|---|---|
| F01 | The security operations problem | Security visibility gaps, alert fatigue, SOC mission, and lifecycle of a security event. |
| F02 | Fundamental security terminology | Telemetry, log, event, indicator, detection, alert, incident, case, false positive, and response action. |
| F03 | What Microsoft Sentinel provides | Cloud-native SIEM capabilities, unified security operations experience, key benefits, and fundamental limitations. |
| F04 | People and responsibilities | SOC L1/L2/L3 analysts, threat hunters, security engineers, cloud administrators, and service owners; basic ownership boundaries. |
| F05 | Where Sentinel fits and when to adopt it | Microsoft/Azure, multicloud, hybrid, and on-premises contexts; common organizational use cases. |
| F06 | Comparison with alternative approaches | SIEM versus endpoint-only monitoring, EDR/XDR, log management, and traditional SIEM; complementary rather than mutually exclusive tools. |
| F07 | Foundational platform architecture | Data sources → connectors → ingestion/Log Analytics → analytics → incidents → investigation and response; Defender portal interface. |
| F08 | Azure resource dependencies | Microsoft Entra tenant, subscription, resource group, Log Analytics workspace, region, and workspace association. |
| F09 | Prerequisites and deployment planning | Lab scope, account requirements, region selection, permissions, sample data, safe test practices, and awareness of ingestion costs. |
| F10 | Baseline access permissions | Least privilege concepts; basic Azure and Microsoft Sentinel roles; why owner and analyst access differ. |
| F11 | Initial workspace setup | Create or select a Log Analytics workspace, enable Sentinel, connect it to the Microsoft Defender portal, and confirm navigation. |
| F12 | First data connection | Activate one instructor-approved, straightforward Microsoft data source (for example Azure Activity, subject to access), observe connection status, and verify sample events arrive. |
Practical exercises
- Sketch the foundational Sentinel architecture and identify the responsibility of each component.
- Provision or access a dedicated training workspace, enable Microsoft Sentinel, and open the Defender portal experience.
- Connect an approved starter data source and record evidence of incoming events; use instructor-provided synthetic telemetry when a licensed source is unavailable.
You leave with: Architecture sketch, working Sentinel workspace, documented access model, and proof of first successful data ingestion.
Day 2 · Essential (included)Log Exploration, Basic Detection, and First-Line Incident Handling11 topics · 3 labs
Day outcome: Use basic KQL, operationalize built-in detection content, and complete a guided alert-to-incident investigation.
| ID | Topic | Coverage |
|---|---|---|
| F13 | Understanding ingested security records | Tables, columns, event timestamps, event identifiers, data types, and lookback windows. |
| F14 | KQL essentials | KQL pipeline model; where, project, take, sort, count, summarize, and bin; basic filters and aggregations. |
| F15 | Basic log validation | Identify relevant events, check timestamps, distinguish no data from no matching records, and save simple reusable queries. |
| F16 | Built-in security content | Navigate Content hub; distinguish solutions, detection templates, hunting content, and workbook templates at a user level. |
| F17 | Activate a starter analytic rule | Create a rule from a suitable template, understand its prerequisite data, choose basic settings, and test expected alert output. |
| F18 | Detection-to-incident fundamentals | Alert versus incident, severity, status, ownership, and the basic incident lifecycle. |
| F19 | Guided first-line triage | Review incident overview, mapped entities, related alerts, chronology, and available evidence. |
| F20 | Basic disposition and escalation | Differentiate benign activity, expected test data, suspicious activity, and confirmed issues; record evidence and hand off. |
| F21 | Consume an out-of-box workbook | Open an existing workbook, interpret charts/filters, and use its visualization for a simple SOC question. |
| F22 | Entry-level SOC operating procedure | Apply a standard checklist for investigating and documenting a new incident consistently. |
| F23 | Entry-level troubleshooting | Diagnose empty query output, mismatched time filters, missing rule prerequisites, rule-not-triggered situations, and missing incident visibility. |
Practical exercises
- Run a starter query pack over the approved lab data to identify significant events and summarize activity over time.
- Enable a prevalidated detection template against a supported data source or instructor-seeded telemetry, then generate a harmless test event.
- Review the resulting alert/incident, document evidence and disposition, and interpret a built-in workbook relevant to that data.
You leave with: Basic KQL query pack, enabled starter detection, annotated test incident, and first-line triage record.
Essential progression gate: Learners can explain the end-to-end architecture, confirm ingestion, write basic KQL, deploy a tested template-based detection, and complete a guided incident investigation. Meeting this gate qualifies them for the Intermediate level.
Day 3 · Intermediate (included)Intermediate Ingestion, KQL Correlation, Enrichment, and Detection Tuning14 topics · 3 labs
Day outcome: Extend telemetry coverage, correlate events, develop a tuned scheduled detection, and improve repeatable case operations.
| ID | Topic | Coverage |
|---|---|---|
| I01 | Expand data-source coverage | Connector selection by source type; API-based versus agent-based patterns; compatibility and data-quality considerations. |
| I02 | Linux and network telemetry collection | Azure Monitor Agent (AMA), Syslog versus CEF, forwarding architecture, Data Collection Rules (DCRs), and common collection paths. |
| I03 | Third-party and multicloud intake patterns | Integration options for cloud audit, firewall, network, and application security data; source-side dependencies and field mapping. |
| I04 | Ingestion pipeline validation | Check schema, parsing, ingestion delay, duplicate records, timestamps, and missing fields in newly connected sources. |
| I05 | Intermediate KQL composition | let, join, union, extend, parse, mv-expand, and distinct; basic cross-table correlation. |
| I06 | Correlation across identities and infrastructure | Join related identity, host, or network events; manage time windows and ambiguous identifiers. |
| I07 | Business-context enrichment with watchlists | Build and maintain a controlled CSV-based watchlist; compare events with high-value assets, known maintenance accounts, or trusted context. |
| I08 | Threat-intelligence indicators | Recognize indicator sources, validity/expiry, matching limitations, and contextual use in investigations or detections. |
| I09 | Introduction to behavior enrichment | Enable or consume supported User and Entity Behavior Analytics (UEBA) context and inspect enriched user/entity evidence. |
| I10 | Author a custom scheduled analytics rule | Convert intermediate KQL into a detection with entity mapping, thresholds, lookback, severity, and relevant custom details. |
| I11 | Tune alert quality and incident flow | Apply exclusions, suppression/grouping choices, ownership conventions, triage queues, and false-positive feedback. |
| I12 | Configure non-playbook automation rules | Automate incident assignment, tagging, severity changes, or other supported low-risk case actions; distinguish this from playbook orchestration reserved for Day 4. |
| I13 | Build a focused workbook | Turn a KQL-based detection or source-health question into a simple custom operational visualization. |
| I14 | Diagnose intermediate failures | Work through DCR/AMA data gaps, CEF versus Syslog format issues, incorrect KQL joins, and excessive or missing alerts. |
Practical exercises
- Onboard a preapproved Linux Syslog/CEF lab feed using AMA and a DCR, or analyze instructor-provided results when lab infrastructure is restricted.
- Correlate two telemetry sources with intermediate KQL, enrich matches using a watchlist, and document relevant UEBA/threat-intelligence context if available.
- Publish a custom scheduled detection with entity mapping, tune a known false-positive condition, configure an assignment/tagging automation rule, and build a focused workbook.
You leave with: Additional telemetry source record, correlated KQL query, governed watchlist, tuned custom detection, case assignment automation, and custom workbook.
Intermediate progression gate: Learners can connect or validate a second data source, correlate logs, enrich findings, create and tune a scheduled detection, and apply safe case-management automation. Meeting this gate qualifies them for the Advanced level.
Day 4 · Advanced (new at this level)Advanced Detection Engineering, Threat Hunting, and SOAR Playbooks14 topics · 3 labs
Day outcome: Engineer normalized and higher-fidelity detections, run a hypothesis-led hunt, and automate a controlled response through Logic Apps.
| ID | Topic | Coverage |
|---|---|---|
| A01 | Advanced Security Information Model (ASIM) | Normalized schemas, unifying parsers, source-specific parsers, and why normalization helps multi-vendor detection. |
| A02 | Parser-aware high-performance querying | Use applicable ASIM filter parameters; assess field consistency, malformed input, and query performance. |
| A03 | Multi-stage attack detection engineering | Build correlation logic around sequence, distinct entities, context, and realistic attack chains; define test cases and expected outcomes. |
| A04 | Advanced detection execution modes | Scheduled rules versus near-real-time (NRT) rules; execution/latency constraints, output limits, and suitability. |
| A05 | Detection validation and quality engineering | Measure signal-to-noise, precision proxies, missed detections, false positives, and change safety using benign and synthetic attack tests. |
| A06 | Threat-hunting methodology | Form hypotheses, choose evidence sources, search for attacker behaviors, record findings, and decide whether to operationalize a detection. |
| A07 | MITRE ATT&CK mapping | Link techniques to hypotheses and telemetry coverage; distinguish coverage mapping from proof of effective detection. |
| A08 | Advanced entity and anomaly investigation | Pivot from behavior anomalies and UEBA context to surrounding events; challenge suspicious signals with alternate explanations. |
| A09 | SOAR and playbook architecture | Azure Logic Apps workflow components, Sentinel automation-rule triggers, incident/alert/entity context, and response dependencies. |
| A10 | Build a controlled incident playbook | Compose a workflow that enriches evidence, opens or updates an authorized ticket, and requests approval before disruptive actions. |
| A11 | Secure workflow identity and permissions | Managed identities or securely managed connectors, required roles, scoped resources, and segregation of duties. |
| A12 | Reliable orchestration design | Idempotency, retries, timeouts, rate limits, error branches, duplicate triggers, and safe rollback design. |
| A13 | Response governance and guardrails | Manual versus automated remediation, human-in-the-loop decisions, testing mode, auditability, and approval thresholds. |
| A14 | Advanced response debugging | Examine automation-run outcomes and Logic Apps execution histories; resolve unauthorized actions, failed connectors, and unexpected repetitions. |
Practical exercises
- Translate a vendor-specific query to a supported ASIM schema and evaluate a higher-fidelity detection against a synthetic attack chain.
- Conduct a structured threat hunt using a documented hypothesis and MITRE ATT&CK technique; capture findings and propose a new detection.
- Create a Logic Apps playbook triggered through a Microsoft Sentinel automation rule, enrich a simulated incident, request approval, and test safe failure handling.
You leave with: ASIM-based query, detection test matrix, threat-hunt report, and tested approval-gated Logic Apps playbook.
Day 5 · Advanced (new at this level)Enterprise Architecture, Data Lake, DevSecOps, Governance, and Capstone13 topics · 3 labs
Day outcome: Design a production-ready Sentinel operating model, manage security data at scale, deliver detection content as code, and validate end-to-end readiness.
| ID | Topic | Coverage |
|---|---|---|
| A15 | Enterprise workspace and tenant architecture | Centralized versus distributed workspaces; geography, residency, access boundaries, multitenant operations, and Azure Lighthouse where applicable. |
| A16 | Production reference-architecture decisions | Design for multiple business units, cloud accounts, operational isolation, cross-workspace query boundaries, and organizational ownership. |
| A17 | Analytics versus data lake tiers | Detection-ready analytics storage versus cost-oriented long-term lake storage, query/latency differences, retention governance, and investigation needs. |
| A18 | Historical security analytics | Data-lake KQL jobs, historical investigations, optional notebook workflows, and when to promote or summarize retained data. |
| A19 | Security-data economics | Ingestion volume, commitment-tier versus pay-as-you-go considerations, retention charges, extra workflow costs, and budget forecasting. |
| A20 | Cost and coverage optimization | Source prioritization, collection filtering, retention plans, useful-telemetry coverage, and the tradeoff between savings and detection gaps. |
| A21 | Detection/content as code | GitHub or Azure DevOps repository integration, supported Bicep/ARM content formats, branch structure, versioning, and repeatable deployments. |
| A22 | Production release governance | Automated validation, peer review, promotion across environments, change records, artifact ownership, controlled rollback, and separation of duties. |
| A23 | Platform reliability, health, and auditing | Enable and use supported SentinelHealth and SentinelAudit telemetry; review connector, detection, and automation health; distinguish platform and workflow diagnostics. |
| A24 | SOC service-level and performance management | Establish coverage measures, false-positive trend, MTTD/MTTR, escalation SLAs, improvement backlog, and SOC optimization actions. |
| A25 | Portal modernization and migration planning | Transition planning for the Defender portal, inventory/compatibility assessment, training impacts, and feature availability/licensing checks. |
| A26 | Operational resilience and governance | Incident runbooks, evidence handling, access reviews, recovery procedures, retention/legal controls, and dependency failure scenarios. |
| A27 | Final enterprise capstone | Present an architecture, ingest/quality strategy, threat-detection plan, controlled response design, repository-based release plan, and cost/operability justification. |
Practical exercises
- Design a multiteam or multicloud production topology and justify workspace count, tenant boundaries, retention, access roles, and data-lake placement.
- Store a previously validated detection as supported declarative content, use an approved GitHub/Azure DevOps workflow to validate and deploy it to a test workspace, and describe a rollback.
- Diagnose a simulated production degradation using health/audit evidence and present the final capstone: a threat scenario, detection, approved response path, data-retention decisions, cost guardrails, and SOC metrics.
You leave with: Enterprise design decision record, tier/retention matrix, repository deployment demonstration, monitoring runbook, cost model, and capstone presentation.
Advanced completion gate: Learners defend architecture and governance choices, show a validated advanced detection and safe playbook, explain data-tier tradeoffs, demonstrate change-control and health monitoring, and complete the integrated capstone.
One course, three ways to take it
INR is the reference price; your local currency is shown where it can be detected.
- Next batch on the 1st (weekday) or first Saturday (weekend)
- Max 10 learners per batch
- Guided labs and live Q&A
- Recordings in your LMS for a year
- All four Microsoft Sentinel levels included
- Access to 20+ other courses and 50+ tools
- Learn at your own pace, any day
- 5 days, day-wise (Days 1-5)
- Ready lab environment provided
- Agenda aligned to your tenant
- Can't attend your batch? Move to next month's batch.
- Every live session is recorded and stays in your LMS for a year.
- Free demo class before you pay.
- Pay by UPI, credit and debit cards, net banking or PayPal
- Refund policy
How you learn, and how your skills are checked
How sessions run
Instructor-led explanations, demonstrations, guided labs, assessment, and case studies, in the Microsoft Defender portal.
- Explain the concept, then demonstrate it in the Microsoft Defender portal
- You repeat it in a guided lab and keep the evidence
- A real-world case ties each day together
- Practice questions and mock exams aligned to the official SC-200 objectives
Assessment checkpoints
Skills are checked with checklists and observable lab evidence, not attendance alone. If you miss a prerequisite, a supervised remediation attempt is allowed.
| Checkpoint | Evidence | Next step |
|---|---|---|
| Essential gate (end of Day 2) | Setup and ingestion evidence, basic KQL, starter alert, incident triage | Pass to enter entering Day 3. |
| Intermediate gate (end of Day 3) | Second-source collection evidence, correlation, enrichment, tuned rule, safe case automation | Pass to enter entering Day 4. |
| Advanced completion (end of Day 5) | ASIM/hunt/response demonstration, enterprise blueprint, governed deployment, cost/reliability plan | Final program completion. |
15 labs, each with evidence you keep
Labs build on each other: every lab produces evidence you keep, and later days reuse earlier lab artifacts.
Translate a vendor-specific query to a supported ASIM schema and evaluate a higher-fidelity detection against a synthetic attack chain.
Conduct a structured threat hunt using a documented hypothesis and MITRE ATT&CK technique; capture findings and propose a new detection.
Create a Logic Apps playbook triggered through a Microsoft Sentinel automation rule, enrich a simulated incident, request approval, and test safe failure handling.
Design a multiteam or multicloud production topology and justify workspace count, tenant boundaries, retention, access roles, and data-lake placement.
Store a previously validated detection as supported declarative content, use an approved GitHub/Azure DevOps workflow to validate and deploy it to a test workspace, and describe a rollback.
Diagnose a simulated production degradation using health/audit evidence and present the final capstone: a threat scenario, detection, approved response path, data-retention decisions, cost guardrails, and SOC metrics.
Included from earlier levels9 labs from earlier days
- Day 1, lab 1: Sketch the foundational Sentinel architecture and identify the responsibility of each component.
- Day 1, lab 2: Provision or access a dedicated training workspace, enable Microsoft Sentinel, and open the Defender portal experience.
- Day 1, lab 3: Connect an approved starter data source and record evidence of incoming events; use instructor-provided synthetic telemetry when a licensed source is unavailable.
- Day 2, lab 1: Run a starter query pack over the approved lab data to identify significant events and summarize activity over time.
- Day 2, lab 2: Enable a prevalidated detection template against a supported data source or instructor-seeded telemetry, then generate a harmless test event.
- Day 2, lab 3: Review the resulting alert/incident, document evidence and disposition, and interpret a built-in workbook relevant to that data.
- Day 3, lab 1: Onboard a preapproved Linux Syslog/CEF lab feed using AMA and a DCR, or analyze instructor-provided results when lab infrastructure is restricted.
- Day 3, lab 2: Correlate two telemetry sources with intermediate KQL, enrich matches using a watchlist, and document relevant UEBA/threat-intelligence context if available.
- Day 3, lab 3: Publish a custom scheduled detection with entity mapping, tune a known false-positive condition, configure an assignment/tagging automation rule, and build a focused workbook.
Individuals set up their own lab on an Azure free trial or locally, and the trainer shows you how, step by step. Corporate batches get a ready lab environment. Azure ingestion and Logic Apps costs may apply beyond the free allowances.
Rajesh Kumar
Principal Architect, trainer and mentor in DevOps, SRE, DevSecOps and platform engineering, with 20 years across 8+ software MNCs, including Staff DevOps/SRE Engineer for a leading Japanese mobile-payment platform and Principal DevOps Architect and Manager in Europe. He leads this course and reviews its curriculum (last reviewed 1 November 2026).
Earn a verifiable Microsoft Sentinel certificate
Complete the labs and meet the Advanced checkpoint to receive a DevOpsSchool certificate of completion. Each certificate has a unique ID that employers can check in the DevOpsSchool certificate registry.
Preparing for Microsoft SC-200? Together, the four Microsoft Sentinel levels follow the Sentinel parts of the official SC-200 (Microsoft Security Operations Analyst) exam objectives, and mock exams are included. DevOpsSchool is an independent training provider and is not affiliated with Microsoft.
Verify a certificate
Real reviews, linked to where they were published
“Rajesh is very good trainer. Rajesh was able to resolve our queries and question effectively. We really liked the hands-on examples covered during this training program.”
“Very well organized training, helped a lot to understand the AWS concept and detailed related to various tools. Very helpful”
Quoted exactly as published on the DevOpsSchool testimonials page, from learners in Rajesh Kumar's live trainings across courses.
DevOpsSchool training compared with learning alone
Microsoft Learn's free documentation is excellent, and this course links to it throughout. What training adds is structure, guided labs, feedback and accountability.
| DevOpsSchool Microsoft Sentinel training | Learning alone from docs and videos | |
|---|---|---|
| Learning path | Four levels with a day-wise agenda and progression gates | You choose topics and order yourself |
| Help when you are stuck | Trainer answers in live sessions and on WhatsApp | Forums and search results |
| Labs | Guided labs, with help setting up your own Azure lab | Set up and debug alone |
| Missed a session | Recordings for a year, or move to next month's batch | Not applicable |
| Proof of skills | Verifiable certificate of completion | None |
| Exam practice | Mock exams aligned to the SC-200 objectives | Find your own |
Questions before you enrol
Do I need to complete the earlier levels first?
Advanced builds on Days 1-3 (Intermediate). Have not built and tuned a custom scheduled detection yet? Start with Intermediate instead. See Microsoft Sentinel Intermediate Training.
How long is the course?
Live online: up to 8 to 10 hours of instructor-led sessions. Corporate: 5 days, day by day (Days 1-5). Self-paced: one year of LMS access to all four levels.
When does the next batch start?
Weekday batches start on the 1st of every month and weekend batches on the first Saturday of every month. Each batch has at most 10 learners. One-to-one and corporate sessions are scheduled on demand.
What do I need for the labs?
Set up your own lab on an Azure free trial or locally, and the trainer shows you how, step by step. You need a Log Analytics workspace and access to the Microsoft Defender portal; Azure ingestion and Logic Apps costs may apply beyond the free allowances. Corporate batches get a ready lab environment.
What if I miss a live session?
Every live session is recorded and stays in your LMS for a year. If you cannot attend your batch, you can move to next month's batch.
Can I try it before I pay?
Yes. Join a free demo class, or book a free 10-15 minute call with an advisor or the trainer to check the course fits you. Payments follow our refund policy.
Does this prepare me for the SC-200 exam?
Together, the four Microsoft Sentinel levels follow the Sentinel parts of the official SC-200 (Microsoft Security Operations Analyst) exam objectives, and mock exams are included. DevOpsSchool is an independent training provider and is not affiliated with Microsoft.
How can I pay?
UPI, credit and debit cards, net banking or PayPal. Prices are in INR, and your local currency is shown for reference.
What does self-paced access include?
One year of complete LMS access, all four Microsoft Sentinel levels, plus 20+ other courses and 50+ tools.
Is the course up to date?
Yes. It teaches Microsoft Sentinel in the Microsoft Defender portal, which Microsoft has made the standard experience; Microsoft supports the Azure-portal experience only until 31 March 2027. The curriculum was last updated on 1 November 2026.
Talk to a person before you decide
We reply within 1 hour on WhatsApp and email. Free 10-15 minute call with an advisor or the trainer to check the course fits you.
Try it before you pay
Free demo class before you pay. Free 10-15 minute call with an advisor or the trainer to check the course fits you.
Book a free demo classRead more before or after the course
Official Microsoft documentation used in this level
Inside the course materials
Start Microsoft Sentinel Advanced Training
Weekday batch starts 1st of every month; weekend batch first Saturday of the month. Batches are capped at 10 learners so every lab gets reviewed.
Not ready yet? Ask for a free demo class or a free 10-15 minute call using the form.