Amazon DynamoDB Corporate Training
Learn to design, build, and operate DynamoDB tables with correct keys, indexes, and access patterns, in live guided labs.
Edstellar, a corporate training company, delivers corporate training that helps your team master Amazon DynamoDB for production workloads. Over 24 instructor-led hours, your engineers design tables, model access patterns, build indexes, and tune performance through guided labs that mirror real application data layers.
Instructor-led group trainingVirtual / on-site / off-site10 languagesDelivered inEnglish, Spanish, Mandarin, German, Arabic, Portuguese, Hindi, French, Japanese, Italian100+ countriesWe have delivered inUnited States, United Kingdom, India, Canada, Germany, France, Netherlands, UAE, Saudi Arabia, Singapore, Australia, Japan, Brazil, South Africa and 90+ more countries
How we build a high-performing DynamoDB team
EDSTELLAR DYNAMODB CAPABILITY MODEL
Assess DynamoDB capability
Skill checks map your team's NoSQL fluency, key design habits, and access pattern thinking before the program starts.
Set shared standards
Your team agrees on table design rules, naming conventions, and index strategies everyone follows in production.
Practice in guided labs
Hands-on labs build real DynamoDB skill: tables, GSIs, streams, transactions, and tuning under instructor guidance.
Measure the lift
Before and after checks show how far your team's data modeling and operational confidence have progressed.
Scale across teams
Playbooks, runbooks, and design templates carry DynamoDB best practices to every team that ships data layers.
Need more than one program?Get a group quote
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Program Overview: What is Amazon DynamoDB Corporate Training?
Amazon DynamoDB is a training program for developers, backend engineers, and architects building serverless applications on AWS. Across 24 hours and six modules, participants master NoSQL data modeling, tables and keys, indexes and access patterns, streams and transactions, and performance tuning and cost optimization. The program closes with a capstone where each team builds a production-ready DynamoDB data layer.
Training is instructor-led and practice-first: every module pairs focused teaching with a guided lab where participants provision tables, model data, and test queries on AWS. Instructors coach learners through partition key design, access pattern modeling, and troubleshooting throttling and hot partitions. Practice covers single-table design, global secondary indexes, transactions, and streams-driven architectures. The five-hour capstone has each team deliver a secure, cost-optimized DynamoDB data layer for a realistic application.
Teams that treat DynamoDB like a relational database hit throttling, runaway costs, and painful redesigns at scale. This program teaches engineers to model data around access patterns, choose keys and indexes, and apply transactions, streams, and global tables. The payoff is predictable performance, lower AWS bills, and data layers that scale without rework.
Graduates can design a DynamoDB data layer, justify every key choice, and survive an instructor's review doing it. Your team stops guessing at access patterns and starts modeling them.
By the end of the program, your team ships a capstone data layer with modeled access patterns, secondary indexes, and an operational runbook. Every lab runs against real DynamoDB tables, so skills transfer directly to your production systems.
What's Included in this Workshop for Your Enterprise Teams
- 1
NoSQL data modeling
Design partition keys, sort keys, and single-table layouts for real access patterns.
- 2
Index strategy
Build GSIs and LSIs that serve queries without costly scans.
- 3
Event-driven patterns
Wire streams, TTL, and transactions into application workflows.
- 4
Performance tuning
Diagnose throttling and tune capacity, DAX, and cost controls.
- 5
Capstone data layer
Ship a production-ready DynamoDB design with a full operational runbook.
- Instructor-led delivery across virtual, onsite, and hybrid
- 24 hours scheduled in flexible batches around your team
- Guided labs in provisioned DynamoDB test environments
- Lab guides and recordings shared on your LMS
- Pre-program skill check and post-program assessment
- Customizable examples matched to your data models
Build your team's skills. Anywhere in the world.
Real-world use cases
from day one
Instructor-led training
for your teams
Delivered globally
in 100+ countries
Enterprise Training Solutions Customized for Your Company
One partner for instructor-led corporate training, delivered the way your teams work.
Request a Training Quote- Customized Training Delivery
- Scale Your Training: Small to Large Teams
- In-person Onsite, Live Virtual or Hybrid Training Modes
- Plan from 2000+ Industry-ready Training Programs
- Hands-On Labs on Live Infrastructure, Led by Industry Experts
Amazon DynamoDB Course Topics and Program Outline
A tailored 24-hour, six-module workshop: one learning journey from DynamoDB fundamentals and key design to indexes, streams, transactions, and a production-ready capstone data layer.
Built by Edstellar with database engineers
Built by practitioners who design and operate DynamoDB at production scale, shaped around your stack and use cases.
Skill checks baseline your team's NoSQL fluency, key design habits, and access pattern thinking before the first session.
Live instruction covers DynamoDB core concepts, key design, and single-table modeling with guided demos for the cohort.
Guided labs build table design, indexing, and query skill across 12 hours of supervised DynamoDB practice in test environments.
Your team ships a capstone data layer in 5 hours, reviewed against performance, security, and cost best practices.
From NoSQL key design to a capstone data layer, every technique is practiced in guided DynamoDB labs.
Delivered as
Delivered as a hybrid program of live instruction and guided labs, scheduled around your team's calendar in flexible batches.
Set up console access and create your first table with a guided key design exercise.
learna)What makes DynamoDB different from relational databases
b)Partition keys, sort keys, and how data distributes
c)Core data types, items, and attribute modeling
d)Single-table design thinking for access patterns
Build a CRUD workflow against a test table with conditional writes and batch loaders.
practicea)Creating tables with provisioned and on-demand modes
b)PutItem, GetItem, UpdateItem, and DeleteItem in practice
c)Conditional writes and optimistic locking patterns
d)Batch operations for bulk reads and writes
e)Handling errors, retries, and idempotent writes
Add GSIs to serve three new access patterns and benchmark Query against Scan.
practicea)Designing global secondary indexes for real queries
b)Local secondary indexes and when to use them
c)Query vs Scan: cost and performance trade-offs
d)Pagination, filtering, and expression attributes
e)Modeling one-to-many relationships in one table
Wire a stream consumer, configure TTL, and run a multi-item transaction in a test environment.
practicea)DynamoDB Streams for change data capture
b)Time to Live for automatic data expiry
c)TransactWriteItems and TransactGetItems for ACID guarantees
d)Global tables for multi-region replication
Diagnose throttling in a loaded table, apply DAX, and tighten IAM policies.
applya)DAX caching and read-through patterns for hot keys
b)IAM policies, encryption, and fine-grained access control
c)Monitoring with CloudWatch metrics and Contributor Insights
d)Right-sizing capacity and controlling spend
Ship a tested data layer with runbook and cost review, presented for instructor feedback.
applya)Designing the full data model for a sample application
b)Implementing tables, indexes, and transactions end to end
c)Load testing and tuning for peak throughput
d)Operational runbook: backups, PITR, and alarms
Customize this program tailored to your team?
Tell us your training needs: what your team already works with, the level they’re at, and the topics you want them to focus on. We’ll adjust the modules, duration and hands-on labs, and send you a customized outline for your group.
Key Skills and Outcomes Your Team Will Gain
Seven job-ready outcomes your team will demonstrate by the end of the program. Each competency is practiced in guided labs against real DynamoDB tables.
Design partition keys and sort keys for even data distribution
Choose keys that spread traffic evenly and keep item collections queryable as your tables grow.
Build tables and run CRUD operations with the DynamoDB API
Create tables in both capacity modes and run item operations with expressions, conditions, and batches.
Create GSIs and LSIs to serve real query access patterns
Design secondary indexes that answer application queries directly instead of relying on expensive scans.
Use streams, TTL, and transactions for event-driven workflows
Capture changes, expire stale data automatically, and coordinate multi-item writes with ACID guarantees.
Tune provisioned and on-demand capacity for performance and cost
Right-size throughput, apply DAX caching, and read the metrics that reveal throttling before users feel it.
Secure tables with IAM, encryption, and fine-grained access control
Lock down who can read and write which items, with encryption and least-privilege policies throughout.
Ship a tested, monitored DynamoDB data layer for production
Deliver a complete design with load tests, alarms, backups, and an operational runbook your team can run.
Teams that Benefit from this Amazon DynamoDB Group Training
This group training is built for engineering and data teams that store application state in DynamoDB or plan to. Content adapts to each role and experience level, so every cohort practices the table designs and operational workflows it owns.
Design data models your APIs can query at any scale.
Backend engineers learn to model tables around access patterns, so services read with single-digit millisecond latency without redesigns.
Workflow friction
- Slow scans on growing tables
- Throttling during traffic spikes
- Schema changes that break queries
How the program helps
- Key designs tuned to each service query
- Fewer scans and lower read costs
- Confident handling of hot partitions
Practice use cases
- API data modeling labs
- GSI design sessions
- Throttling diagnosis drills
Move change data reliably with streams and pipelines.
Data engineers practice capturing table changes with streams and landing them in downstream pipelines with exactly-once handling.
Workflow friction
- Missed change events in pipelines
- Duplicate writes downstream
- Manual backfill processes
How the program helps
- Reliable CDC from DynamoDB streams
- Cleaner hand-offs to analytics stores
- Idempotent pipeline writes
Practice use cases
- Stream consumer labs
- TTL expiry exercises
- Pipeline replay drills
Operate DynamoDB with alarms, backups, and runbooks.
Platform teams learn to monitor throughput, set meaningful alarms, and run backups and restores with confidence.
Workflow friction
- Blind spots in table metrics
- Untested disaster recovery
- Runaway on-demand spend
How the program helps
- Alarms that catch throttling early
- Tested backup and restore flows
- Repeatable operational runbooks
Practice use cases
- CloudWatch alarm labs
- PITR restore exercises
- Cost review workshops
Ship features backed by correct DynamoDB patterns.
Application developers practice the item operations, transactions, and error handling their features depend on every day.
Workflow friction
- Race conditions in writes
- Brittle hand-rolled retries
- Unclear transaction boundaries
How the program helps
- Correct conditional write logic
- Resilient retry and error handling
- Faster feature delivery on DynamoDB
Practice use cases
- Transaction design labs
- Retry logic exercises
- Capstone build reviews
Cohorts train as a cross-functional workforce, with each small group aligned on shared data modeling and review standards.
Prerequisites: This program benefits backend developers, data engineers, and platform engineers who build or operate on DynamoDB. Basic AWS familiarity helps but is not required, and no prior NoSQL experience is needed. Examples and labs adapt to each cohort's tables, access patterns, and tooling.
Developer to DynamoDB Data Engineer
Tracks how engineers progress from basic DynamoDB operations to advanced data modeling and production operations across the program's learn, practice, and apply phases.
A program that grows with data careers, from first DynamoDB table to confident production data layer ownership.
Mixed cohort, or several teams at once?
We can tailor the training to different teams, roles, and experience levels within the same program.
Certificate of Training Completion.
On successful completion, employees receive an Edstellar course completion certificate, recognizing their commitment to ongoing learning and professional development. It validates the skills they have built and motivates them to keep growing and contribute to organizational success.
Earned, not attended. Awarded on completion of all hands-on labs and the capstone project.
Training Delivery Modes: Virtual, Onsite and Hybrid
Instructor-led sessions mix onsite and virtual delivery with guided labs throughout. Recordings and lab guides are shared on your LMS so the team can revisit each module after the live sessions.
Hybrid Training
Instructor-led sessions mix onsite and virtual delivery with guided labs throughout. Teams design tables and run DynamoDB labs together while the instructor reviews each group's data model.
- Live instruction across onsite and virtual sessions
- Guided labs with instructor coaching and design reviews
- Real DynamoDB workflows on test tables throughout
- Flexible scheduling without losing cohort momentum
Onsite Training
The instructor delivers the full program at your office with hands-on labs on your network. Whiteboard sessions map your actual access patterns to table designs the team keeps.
- Full program delivered at your office
- Whiteboard modeling of your real access patterns
- Team labs with same-day instructor feedback
- Direct coaching on your schemas and queries
Live Virtual Training
Live virtual sessions with screen-shared labs and breakout rooms for small-group table design. The instructor reviews each group's models and tunes guidance to your stack.
- Live online instruction with real-time Q&A
- Breakout rooms for small-group design work
- Shared lab environments with instructor oversight
- Recordings available for later review
Need a training format that works for your team?
Full days, half days across weeks, or split by module. Tell us the delivery window and we schedule the cohort around it.
Frequently Asked Questions
Share your team size, timelines, and delivery preference, and we will send a detailed per-group quote with batch options.
Yes. A short discovery call maps your team's DynamoDB experience and goals so we can tailor the labs and examples.
Yes. Live virtual batches run with an instructor, breakout rooms for design work, and shared lab environments.
Yes. Onsite delivery brings the instructor and labs to your office, with whiteboard sessions on your own data models.
The program runs 24 hours across six modules, typically delivered in flexible batches scheduled around your team.
Question not answered here?
Put it in the request. A training specialist answers it directly, within one business day.
Where this Training Fits in Your Team's learning path.
DynamoDB comes after AWS basics and developer skills because your team needs to know the platform and its SDKs before designing NoSQL tables. Once DynamoDB is in hand, serverless design is the natural next step, since the two are often used together.
Why Choose Edstellar as Your Amazon DynamoDB Corporate Training Provider
When comparing providers, Edstellar is the training partner teams choose for database expertise and 5+ years of corporate training experience. Our programs are built around your tables, your access patterns, and your production realities.
EXPERT TRAINERS
YEARS DELIVERING
ORGANIZATIONS TRAINED
CERTIFIED
Tailored
Every cohort's labs, examples, and exercises are tuned to your DynamoDB tables, access patterns, and naming conventions.
Proven Methodology
A learn, practice, and apply arc moves your team from key design basics to a reviewed production data layer.
Practice-Based Learning
Guided labs on real DynamoDB tables build durable skill, with instructor feedback on every data model.
Expert Trainers
Database practitioners who operate DynamoDB in production lead each session and review your designs.
Global Scale
Virtual, onsite, and hybrid delivery runs across time zones with consistent labs and assessments worldwide.
Measurable Outcomes
Pre and post assessments track DynamoDB modeling and operations skill gains for every participant.
Design DynamoDB Data Layers Around Access Patterns and Operational Evidence
Edstellar helps backend teams connect DynamoDB data modeling with performance, security, and cost decisions. Participants design keys, implement item operations, add indexes, and work with streams and transactions. A tested data layer brings these choices together, with review of access-pattern coverage, observed behavior, and the runbook supporting operation.
- Step 01
Consult
We review application access patterns and AWS experience to identify needs in key design, item operations, indexes, event processing, capacity, and table security.
- Step 02
Plan
We connect NoSQL modeling and table operations with query patterns, streams and transactions, then address performance and controls before completing a data-layer build.
- Step 03
Align
We align instruction with backend, data, and platform roles, using test tables and introducing NoSQL foundations before more demanding performance and integration exercises.
- Step 04
Customize
We tailor sample access patterns, conditional-write cases, and throttling scenarios to familiar applications while preserving comparisons of query choices, capacity settings, and IAM scope.
- Step 05
Execute
Participants benchmark queries, configure streams and TTL, and diagnose throttling, receiving feedback on data distribution, transaction behavior, security choices, and cost assumptions.
- Step 06
Evaluate
We assess the data layer for served access patterns, tested item and event behavior, justified capacity choices, and a practical security-aware operational runbook.
Also from Edstellar
Talent assessments
Psychometric, behavioral, leadership and 360-degree assessment.
→Training needs analysis
Needs analysis, gap identification, and a training roadmap.
→L&D consulting
Learning strategy, content, technology and ROI measurement.
→OD consulting
Org design, succession planning and cultural change.
→Managed training services
Training outsourcing, vendor management, logistics and administration.
→Coaching solutions
Executive and manager coaching that keeps skills in use.
Start an RFP shaped to your needs.
Answer three quick questions about team size, scope, and how often you need the program run, then send the request from the last step. Everything you choose travels with it, so you only fill this in once.
How many team members need training?
Amazon DynamoDB Training Packages & Pricing
Where L&D holds an annual budget, license packages price the whole year at once instead of raising a purchase order per workshop. Hours and licenses are pooled across teams, programs and locations, so unused capacity is not stranded in one department.
Starter
120
trainee licenses64 hours of group training
Tailored for SMBs
Growth
320
trainee licenses160 hours of group training
Ideal for growing SMBs
Enterprise
800
trainee licenses400 hours of group training
Designed for large corporations
Custom
Unlimited
trainee licensesDuration set by the rollout
Multi-region and multi-year
Training Packages & Pricing
Choose the training format that works for your team. Pricing is customized based on your requirements, cohort size, and delivery needs.
Request Amazon DynamoDB Training for Your Team
Share your team size, DynamoDB experience, data models, and timelines to receive a tailored training plan and quote. Book a discovery call to discuss your goals.