Json Advanced Training
Process large JSON fast and safely, evolve schemas without breaking clients and govern JSON contracts. Learn Json through a clear Foundation to Advanced path, with hands-on labs, live cohort options, certification support and full LMS access.
Last updated
Self-paced video subscription
Billed yearly at ₹9,996. This includes all four levels, complete LMS access for one year, plus 20+ additional courses and 50+ tools access.
- All four Json levels in one price.
- 20+ additional courses and 50+ tools included, even when subscribing to one course.
- Best fit for learners who want full-library access and flexible progress.
Live & Interactive session
Instructor-led cohort, max 8 to 10 hours, with demos, labs, Q&A, assignments and practical review.
- Live small-batch cohort from soon.
- Interactive discussion and lab troubleshooting.
- Recommended for teams that need guided implementation.
1:1 Live training
The same agenda, taught one-to-one by the trainer. Start immediately, without waiting for the next batch. Max 8 to 10 hours, one-to-one.
About Json Advanced Training.
Understand where Json fits in modern software delivery, what this level covers, and how the program builds practical confidence step by step.
Program overview
Json is taught as a practical technical skill for modern engineering, operations and platform teams. The course explains where the tool fits, how it is used in real delivery environments, and how learners can apply it through guided practice.
This DevOpsSchool Json program is built for working professionals who want usable skills instead of only conceptual exposure. The training emphasizes live examples, workflow clarity, operational controls and progressive skill depth from Foundation to Advanced.
Private Json training for delivery teams, platform groups and engineering organizations.
DevOpsSchool provides corporate Json training for teams that need faster adoption, workflow standardization, administrative control, integration guidance and governance-ready rollout. Private batches can be aligned to development practice, release workflow, access model, maturity level and internal tooling.
- Private online or classroom delivery for engineering teams
- Aligned to Json usage maturity, admin depth and collaboration patterns
- Useful for rollout, migration, governance and workflow consistency goals
- Can be tailored for developers, administrators, DevOps teams and leadership stakeholders
Why teams use DevOpsSchool
DevOpsSchool combines live demonstration, practical workflow discussion, implementation-oriented examples, and strong post-session learning support. That makes the training more usable for real teams than generic slide-led courses.
Choose any level. The page still shows the full progression.
Foundation, Essential, Intermediate and Advanced are presented as one linked training flow. Self-paced buyers get all levels by default, even if they start from only one course page.
Instructor-led, self-paced and corporate delivery options.
Compare delivery format, duration, level access and batch style. Fees are shown only in the top decision panel and once again after the agenda.
| Duration | Mode | Level access | Batch |
|---|---|---|---|
| 8 to 10 Hrs. max | Live & Interactive | Advanced | Public batch |
| 8 to 10 Hrs. max | 1:1 Live training | Advanced | Starts immediately |
| 1 year LMS access | Self-paced video | All 4 levels | Anytime access |
| 5 Days | Corporate | Json Advanced Training | Private team batch |
What learners should be able to do after Json training.
The outcomes are written for practical delivery teams: developers, DevOps engineers, release engineers, administrators and technical leads.
Write correct JSON
Create, format and debug JSON documents that any parser accepts.
Automate JSON workflows
Query and transform JSON from APIs and cloud tools with jq, JSONPath and code.
Govern JSON contracts
Define, validate, secure and evolve JSON schemas used by APIs and data pipelines.
Why this skill, what you will achieve, and who should attend.
Use this section to decide whether the course matches your role, current experience and expected Json responsibilities before reviewing the detailed agenda.
Why Json matters
- Json helps teams standardize a critical part of their software delivery, infrastructure, automation or operations workflow.
- It gives learners a repeatable way to move from basic usage to confident execution in team and enterprise environments.
- For DevOps and platform teams, Json becomes more valuable when connected with automation, governance, monitoring and delivery practices.
- Teams using Json effectively reduce ad-hoc execution and move toward consistent engineering standards.
Objectives
- Understand Json concepts, architecture, terminology and operational usage patterns.
- Learn practical configuration, workflow design, access controls, team usage and quality practices.
- Apply Json in real delivery workflows using automation, integrations, traceability and governance patterns.
- Build practical confidence to use Json for individual, team and organizational use cases.
Pre-requisites
- Basic computer literacy and familiarity with software development workflows.
- Helpful but not mandatory: introductory DevOps, cloud, automation or software delivery awareness.
- No deep programming background is required for the Foundation and Essential levels.
Who this course is for
- Developers, administrators and engineers who need practical Json usage skills.
- DevOps engineers, release engineers, SREs and platform teams managing delivery standards.
- Engineering leads and technical managers responsible for workflow quality, access controls and governance.
- Corporate teams migrating to or standardizing on Json.
Small-batch live training starts every month.
Weekday batches start on the 1st and weekend batches on the first Saturday of every month. One-to-one (1:1) training can start immediately; corporate sessions are scheduled on demand.
Weekend live batch
Starts on the first Saturday of every month. Weekend sessions with demos, labs and Q&A; max 10 learners.
Weekday live batch
Starts on the 1st of every month. Weekday sessions for working professionals and distributed teams; max 10 learners.
Ask advisorAgenda depth up to the selected level.
This page shows the learning flow from Foundation through Advanced. Each level adds to the previous one, and the agenda stops at the current page level. Day counts are for corporate (day-wise) delivery; live online batches cover the same agenda in max 8 to 10 hours.
Foundation Level: JSON syntax, data types and validationDay 1
- What JSON is: a text data-interchange format defined by RFC 8259 and ECMA-404, and where it is used
- JSON compared: JSON vs XML vs YAML for readability, typing, comments and tooling
- Syntax rules: objects, arrays, name/value pairs, double-quoted keys and no trailing commas
- Data types: string, number, boolean, null, object and array, and what JSON cannot represent (dates, undefined)
- Strings and escaping: quotes, backslashes, newlines, \u escapes and UTF-8 encoding
- Numbers: integers, decimals, exponents and precision limits beyond 2^53 in JavaScript
- Nesting: modelling real records with nested objects and arrays of objects
- Formatting: pretty-printing and minifying with python3 -m json.tool and jq .
- Common syntax errors: single quotes, comments, trailing commas and unescaped characters, linting in the editor
- JSON files and media type: .json files, application/json and character encoding rules
- JSON in the browser: inspecting API responses in the developer tools Network tab
Essential Level = Foundation + parsing, generating and querying JSONDay 2 · 2 days cumulative
- JavaScript: JSON.parse() and JSON.stringify() with reviver, replacer and indentation arguments
- Python: json.load(), json.loads(), json.dump() and json.dumps() with indent, sort_keys and ensure_ascii
- Other languages: Jackson or Gson in Java, encoding/json in Go and System.Text.Json in .NET
- Serialising objects: mapping classes to JSON, ISO 8601 dates and handling null or missing fields
- jq fundamentals: filters, .[], select(), map(), keys, to_entries and building new objects
- JSON on the command line: kubectl get -o json, aws --output json with --query (JMESPath) and curl piped to jq
- JSONPath: RFC 9535 syntax, recursive descent, filter expressions and kubectl -o jsonpath
- JSON in REST APIs: request and response bodies, Content-Type and Accept headers, error objects with status codes
- Fetching JSON: fetch() with response.json(), Python requests .json() and handling invalid responses
- JSON Lines (NDJSON): one record per line for logs and streaming, processed with jq -c
- Converting formats: JSON to YAML or CSV with yq, jq @csv and Python
- Configuration files: package.json, tsconfig.json, editor settings and JSON with comments (JSONC)
Intermediate Level = Essential + JSON Schema, patching and data contractsDay 3 · 3 days cumulative
- JSON Schema basics: $schema, type, properties, required, enum and additionalProperties in draft 2020-12
- Schema composition: $ref, $defs, allOf, anyOf, oneOf, if/then/else and format keywords
- Validating in code and CI: Ajv in JavaScript, jsonschema in Python and failing builds on invalid data
- OpenAPI 3.1 and JSON Schema: describing request and response bodies and generating API clients
- JSON Pointer (RFC 6901) and JSON Patch (RFC 6902): add, remove, replace, move, copy and test operations
- Merge strategies: JSON Merge Patch (RFC 7396) and Kubernetes strategic merge patch with kubectl patch
- API design: consistent naming, pagination, envelopes and errors as RFC 9457 problem details
- JSON Web Tokens: header, payload and signature, registered claims and verifying JWTs (RFC 7519)
- JSON in PostgreSQL: json vs jsonb, the ->, ->> and @> operators and GIN indexes
- Document databases: MongoDB documents, BSON types and querying nested fields
- Structured logging: JSON log lines with consistent fields for Elasticsearch, Loki or CloudWatch
- Troubleshooting: parse errors, byte order marks, encoding problems, duplicate keys and number precision bugs
Advanced Level = Intermediate + performance, security and JSON at scaleDays 4-5 · 5 days cumulative
- Large documents: streaming parsers such as ijson, Jackson streaming and stream-json instead of loading everything
- Performance: fast parsers like simdjson and orjson, payload size and gzip or Brotli compression
- Binary alternatives: BSON, CBOR, MessagePack and Protocol Buffers compared with JSON
- Security: prototype pollution via __proto__, injection risks, safe parsing and never using eval()
- Resource limits: maximum depth, size and number limits to prevent denial of service in parsers
- Signing and encryption: JWS and JWE, key management and choosing algorithms
- Schema evolution: API versioning, backward-compatible changes and deprecating fields
- Linked data: JSON-LD and schema.org structured data for search engines
- Data pipelines: JSON in Kafka topics, schema registries and conversion to Parquet for analytics
- Policy as code: validating Kubernetes and Terraform JSON with OPA Rego or CUE
- Code generation: TypeScript and other types from JSON Schema with tools such as quicktype
- Governance: shared schema catalogues, naming standards and review of API contract changes
- Capstone: design a versioned JSON API with schemas, validation, JWT auth and a streaming export
Choose live training or a full year of self-paced access.
If someone buys Foundation, Essential, Intermediate or Advanced as self-paced video, the price stays the same and access is granted to all four levels by default.
Self-paced video subscription
Billed yearly at ₹9,996. This includes all four levels, complete LMS access for one year, plus 20+ additional courses and 50+ tools access.
- All four Json levels in one price.
- 20+ additional courses and 50+ tools included, even when subscribing to one course.
- Best fit for learners who want full-library access and flexible progress.
Live & Interactive session
Instructor-led cohort, max 8 to 10 hours, with demos, labs, Q&A, assignments and practical review.
- Live small-batch cohort from soon.
- Interactive discussion and lab troubleshooting.
- Recommended for teams that need guided implementation.
1:1 Live training
The same agenda, taught one-to-one by the trainer. Start immediately, without waiting for the next batch. Max 8 to 10 hours, one-to-one.
- Start immediately: no waiting for the monthly batch.
- One learner, one trainer: full attention on your questions.
- Sessions planned around your working hours.
- Your pace, with examples from your own projects and tools.
Method of training and assessment.
The course emphasizes practical demonstration, hands-on labs and assignment-based validation instead of passive lecture-only learning.
| SL | Method of training and assessment | Weightage |
|---|---|---|
| 1 | Understanding the problem space | 5% |
| 2 | Concept discussion | 10% |
| 3 | Live demo and walkthrough | 25% |
| 4 | Lab and hands-on exercises | 50% |
| 5 | Assignments and evaluation | 10% |
Labs, exercises and real workflow practice.
Every level moves from explanation to hands-on practice, review and troubleshooting.
Model and validate a course catalogue
Write a nested JSON document describing courses, levels and trainers, fix deliberate syntax errors and pretty-print the result with jq.
Query a live API with jq
Call a public REST API with curl, extract and reshape fields with jq and JSONPath, then convert the result to CSV with a Python script.
Enforce a JSON Schema contract in CI
Write a JSON Schema for an API payload, validate fixtures with Ajv and jsonschema in a CI job, and apply JSON Patch updates to stored documents.
Build a validated streaming JSON pipeline
Stream a multi-gigabyte JSON Lines export through a validating parser, reject bad records against a schema and publish clean records in a compact format.
Json is taught as part of a working delivery ecosystem.
You learn where the tool sits in the wider engineering workflow, not in isolation.
Core foundations
Terminology, concepts, architecture and the operating model behind the tool.
Workflow traceability
Map practical work to tasks, approvals, documentation and delivery visibility.
Automation and integration
Use Json with validation checks, automation hooks and delivery workflows.
Governance controls
Operate with permissions, approvals, policy checks and production-safe workflows.
How your practical work is assessed.
Your certificate is backed by labs, assignments, capstone thinking and completion evidence.
Assignments
Level-specific assignments verify setup, configuration, workflow quality and operating discipline.
Hands-on validation
Learners are expected to complete practical usage, automation and troubleshooting exercises.
Completion record
Certificate issuance is tied to demonstrated participation, practical completion and course-level coverage.
Led by Rajesh Kumar and the DevOpsSchool practitioner network.
Training is grounded in practical DevOps, SRE, security, release and platform engineering experience with real enterprise delivery context.
Earn a DevOpsSchool Json certificate.
Completion includes a digital certificate with credential details, practical assignments and a learning record aligned to the selected Json level.
Certificate verificationCertificate of Completion
Json Advanced Training
Unique credential ID, verifiable online
What learners say about training with Rajesh Kumar.
“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”
“The training was very useful and interactive. Rajesh helped develop the confidence of all.”
Rated 4.6 on Google · All testimonials · Video reviews on YouTube
Quoted as published, from learners in Rajesh Kumar's live trainings across DevOpsSchool courses.
Used by developers, DevOps engineers, release leads and engineering managers.
Private batches are available for teams that want the same agenda aligned to their own tools and workflows.
Why this Json path is different.
The value is not only one course. The subscription unlocks the full learning ecosystem for one year.
| Feature | DevOpsSchool Json Training | Typical short course |
|---|---|---|
| Levels | Foundation, Essential, Intermediate, Advanced | Single generic syllabus |
| Self-paced access | All four levels plus 20+ courses and 50+ tools | Usually one course only |
| Live training | Demos, labs, Q&A and assignment review | Often lecture-heavy |
| Certificate | DevOpsSchool completion certificate | Varies by provider |
Questions learners ask before joining.
Does Foundation cost less than Advanced?
No. Self-paced pricing is intentionally the same because access includes all four levels by default.
What is included in the yearly subscription?
One year of complete LMS access, all four levels for the selected course, plus 20+ additional courses and 50+ tools access.
Can corporate teams request customization?
Yes. The live format can be aligned to team tools, governance requirements, workflows and internal delivery standards.
What is the recommended sequence?
Foundation → Essential → Intermediate → Advanced. The agenda is designed so each level builds on the previous one.
Talk to DevOpsSchool before choosing the batch.
Use this support section for batch questions, corporate planning, LMS access clarifications, or guidance on which Json level fits your team.
India / Worldwide: +91 99057 40781
USA: +1 (469) 756-6329
Email: contact@DevOpsSchool.com
Chat on WhatsAppExtend the course with articles, explainers and workflow guidance.
Continue learning with supporting articles that connect Json practices to DevOps, automation, governance and delivery workflows.
Training snapshots and certificate preview.
A look at the completion certificate and the course.
Certificate preview
See what course completion evidence looks like.
Tool-focused training
Course visuals reinforce the Json workflow and subject area.
Live batch experience
Training supports live online, private team and workshop-style delivery.
Start Json Advanced training.
Next weekday batch starts on the 1st; weekend batch on the first Saturday. Batches are capped at 10 learners. Send your details and DevOpsSchool will share the syllabus and batch options.