Search and Vector Retrieval with Elasticsearch/OpenSearch Corporate Training
Give your engineering team working skill in keyword search, vector retrieval, and hybrid ranking.
Give your engineering and data teams practical skill in search and vector retrieval. This Search & Vector Retrieval with Elasticsearch/OpenSearch corporate training program helps your teams master indexing, embeddings, vector search, and hybrid ranking. Delivered hybrid with hands-on labs tailored to your search workloads and assessments that track capability across your employees.
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 search-ready engineering team
THE EDSTELLAR SEARCH & RETRIEVAL CAPABILITY MODEL
Map your search baseline
Skill checks reveal how your team thinks about indexing, relevance, and vectors today, before module one.
One retrieval standard
Align everyone on one approach: indexing, embeddings, hybrid ranking, and evaluation done one way.
Practice in hands-on labs
Build and tune indexes in guided labs, with instructor coaching on every step.
Prove the lift
Re-run skill checks and capstone reviews so leadership sees search capability rise.
Scale across teams
Roll out one retrieval standard across engineering, data, and platform teams.
Need more than one program?Get a group quote
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Program Overview: What is Search and Vector Retrieval with Elasticsearch/OpenSearch Corporate Training?
Search & Vector Retrieval with Elasticsearch/OpenSearch is Edstellar's hands-on technical program for teams that build and run search. Participants learn keyword search and relevance scoring, vector embeddings, hybrid retrieval, cluster setup and index management, and how to keep search relevant at scale.
Labs are the substance of this program. Your team builds indexes, tunes relevance, experiments with embeddings and hybrid retrieval, and manages real clusters under the instructor's guidance. Each exercise is reviewed for engineering soundness, with coaching on the trade-offs between precision, recall, and latency. The capstone is an enterprise search build: a complete, working search system designed by the team.
Bad search is a tax every employee and customer pays daily: relevant documents buried, synonyms ignored, results that feel random. Teams bolt on keyword search and hope. This program teaches the craft properly: understand relevance, engineer retrieval, and measure quality like it matters, because it does.
The capstone is an Enterprise Search Build: participants design the index, wire hybrid retrieval, tune relevance, and demonstrate the system against real queries. The search quality they achieve in the lab becomes the standard their production systems are measured against.
Search sits behind support portals, docs sites, and internal knowledge bases, and weak relevance costs real time. This program gives your team the working skill to design indexes, generate embeddings, and tune hybrid ranking that returns the right results.
The result: engineering and data teams who build, tune, and operate search your employees and customers trust.
What's Included in this Workshop for Your Enterprise Teams
- 1
Search foundations
Indexing, relevance, and analysis explained.
- 2
Hands-on retrieval labs
Build and tune indexes in guided labs.
- 3
Embeddings toolkit
Reusable patterns for vector search.
- 4
Expert practitioner trainers
Learn from engineers who run search in production.
- 5
Capstone enterprise search
Ship a working search build for your use case.
- Training delivered at any of your offices globally
- 10+ languages
- Schedule around your calendar
- Group size set along with you
- Run as one cohort or split into batches
- Instructor-led (virtual/onsite/hybrid)
- Recurring and annual options
- Trainer sourcing, matching and logistics
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
Search and Vector Retrieval with Elasticsearch/OpenSearch Course Topics and Program Outline
A six-module technical program on search and vector retrieval: keyword search, embeddings, vector search, hybrid ranking, index management, and relevance at scale. Five guided labs plus a capstone enterprise search build.
Built by Edstellar with search trainers
Built by practitioners who run search in production, with lab feedback on every exercise your team completes.
Baseline each participant's search and retrieval readiness before module 01 begins
Build strong Elasticsearch and vector search foundations in instructor-led sessions
Reinforce skills through guided hands-on labs on Elasticsearch and OpenSearch clusters
Apply search skills to real-world scenarios and a capstone retrieval project
A short pre-training assessment sets each participant's entry level, so the program starts where your team actually is. The rest is weighted toward hands-on practice: guided labs on Elasticsearch and OpenSearch clusters and realistic scenarios drawn from your team's work, not slides.
Delivered as
Entry level set by the assessment. Depth and schedule customized to your team.
a)Keyword search and relevance scoring
b)Inverted indexes, how they work
c)Text analysis and tokenization
d)Baseline skills check
a)What embeddings encode
b)Generating vectors from text
c)Similarity and distance metrics
d)Embedding lab: compare models
a)kNN vector search basics
b)Index design for vectors
c)Hybrid keyword plus vector ranking
d)Tuning lab: rank relevance
a)Index mappings and settings
b)Sharding and replication
c)Ingest pipelines and updates
d)Management lab: keep indexes healthy
a)Relevance tuning with feedback
b)Query performance patterns
c)Monitoring and alerting
d)Scaling lab: handle growth
a)Scope a search use case
b)Build and evaluate end to end
c)Present results for review
d)Leave with a rollout plan
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
By the end of this program, your team will build, tune, and operate keyword and vector search with hybrid ranking. Each competency is practiced in guided labs with instructor feedback.
Explain search basics
Describe inverted indexes, analysis, and relevance scoring, and read a query plan with confidence.
Build search indexes
Design mappings and settings for your content, and keep indexes healthy as data grows.
Generate embeddings
Turn text into vectors with embedding pipelines, and choose models that suit your domain.
Run vector search
Execute kNN queries and index vectors for fast, accurate similarity search.
Tune hybrid ranking
Blend keyword and vector signals into one ranking your users can trust.
Evaluate relevance
Measure search quality with honest metrics and catch weak results early.
Operate search clusters
Monitor, scale, and maintain search infrastructure with proven routines.
Teams that Benefit from this Search and Vector Retrieval with Elasticsearch/OpenSearch Group Training
This program is built for engineering, data, platform, and product teams that own search. Basic familiarity with data and APIs helps: content adapts to role and experience, so each cohort practices retrieval on workloads that match their mandate.
Ship indexes your analysts can trust.
Data engineers learn index design, ingest pipelines, and embeddings. They practice building indexes that stay healthy as data grows.
Workflow friction
- Indexes degrade silently
- Pipelines ignore search
- No embedding expertise
How the program helps
- Keep indexes healthy
- Wire search into pipelines
- Build embedding expertise
Practice use cases
- Index labs
- Pipeline drills
- Embedding exercises
Add search to your product stack.
Software engineers learn to integrate keyword and vector search into applications. They practice query design, ranking, and evaluation.
Workflow friction
- Search feels like magic
- Queries return junk
- Ranking is untunable
How the program helps
- Demystify search
- Return relevant results
- Tune ranking confidently
Practice use cases
- Query labs
- Ranking drills
- Integration exercises
Run search clusters with confidence.
Platform teams learn cluster setup, sharding, replication, and monitoring. They practice keeping search up and fast.
Workflow friction
- Clusters fail at night
- Scaling feels risky
- No monitoring playbook
How the program helps
- Prevent night failures
- Scale with confidence
- Follow a playbook
Practice use cases
- Cluster labs
- Scaling drills
- Monitoring exercises
Design search users actually use.
Product teams learn how relevance works and what drives good search UX. They practice turning search analytics into product decisions.
Workflow friction
- Users cannot find things
- Search UX is guesswork
- Analytics ignored
How the program helps
- Help users find things
- Design with evidence
- Use search analytics
Practice use cases
- UX labs
- Analytics drills
- Relevance reviews
Each cohort works through role-relevant retrieval labs, then leaves with reusable patterns for day-to-day search work.
Prerequisites: This program benefits network engineers, RF designers, planners, and wireless researchers most. Familiarity with basic wireless communications concepts helps, but is not required: foundations are taught from the ground up. No prior radar or 6G experience is needed, and labs adapt to each cohort's tools, whether teams work in simulation or on lab hardware.
From search fundamentals to enterprise search at scale
The learn modules establish search foundations and vector embeddings, demystifying how relevance actually works. Practice modules make it operational: building hybrid retrieval pipelines in Elasticsearch and OpenSearch, setting up and managing clusters, and tuning relevance as data grows. The capstone delivers an enterprise search build that users can rely on daily.
Teams progress from keyword and vector search basics to running tuned, reliable Elasticsearch and OpenSearch clusters in production.
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
Every mode is instructor-led and tailored to your search workloads before delivery. The curriculum, hands-on labs, assessments, and capstone stay the same across hybrid, onsite, and live virtual formats, so capability is consistent however you run it.
Hybrid Training
Live instruction plus supervised hands-on labs, across onsite and virtual sessions. Your team builds and tunes keyword and vector search with instructor coaching. Best for technical practice with scheduling flexibility.
- Live instruction across onsite and virtual sessions
- Guided retrieval labs with instructor coaching on your roles
- Build and tune indexes in real time
- Best for flexible schedules with real hands-on practice
Onsite Training
Your instructor delivers at your facility with labs set up for your team. Every participant builds search prototypes with coaching. Best for co-located teams wanting maximum interaction.
- Instructor delivers at your facility
- Labs built around your search workloads
- Build search prototypes together with coaching
- Best for co-located teams wanting maximum interaction
Live Virtual Training
Live virtual sessions run instructor-led on your preferred platform. Your team joins guided retrieval labs, breakout exercises, and real-time reviews with the instructor. Ideal for distributed teams needing hands-on practice without travel.
- Live instructor-led sessions on your platform
- Guided labs with breakout troubleshooting
- Screen-shared query reviews in real time
- Ideal for distributed teams across locations
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.
Learn from industry experts.
Every session is led by a practitioner who has run monitoring for models in production, not a generalist working from slides.
Mohamed
Certified in Risk and Information Systems Control (CRISC) Trainer in Cairo
12+ years of Experience
Harishankar
Design Patterns Trainer in Lucknow
7+ years of Experience
Diptarko
Python Trainer in Bengaluru
11+ years of Experience
Himansu
HTML 5 and Cascading Style Sheets Trainer in Balasore
9+ years of Experience
Amit
Search Engine Optimization (SEO) Trainer in Hyderabad
10+ years of Experience
Trainers are matched to your stack and delivery window at scheduling. We confirm your assigned trainer, with a full profile, before the program is booked.
Frequently Asked Questions
Share team size, preferred dates, and delivery mode in the lead form, or book a short discovery call. We respond with a tailored proposal covering scope, schedule, and pricing.
Yes. Book a short discovery call and we will map your training needs, team roles, and timelines before proposing anything.
Yes. Live virtual sessions run instructor-led on your preferred platform, with guided hands-on labs and real-time query reviews.
Yes. Onsite delivery runs at your facility worldwide, with labs set up around your search workloads and team size.
The program runs 20 hours across six modules, scheduled around your calendar as one cohort or split into batches.
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.
Vector retrieval builds on a working knowledge of Elasticsearch or OpenSearch. Your team adds semantic and hybrid search on the engine it knows, compares dedicated vector databases, then uses retrieval to ground large language model answers in your own content.
Why Choose Edstellar as Your Search and Vector Retrieval with Elasticsearch/OpenSearch Corporate Training Provider
As your training partner, we make comparing providers simple: share your training needs and we shape a search & retrieval program around your workloads, timelines, and delivery mode. You get a matched trainer profile and a plan your leaders can approve with confidence.
EXPERT TRAINERS
YEARS DELIVERING
ORGANIZATIONS TRAINED
CERTIFIED
Tailored
Content shaped around your vector search use cases, so every session maps to your real hybrid retrieval needs.
Proven Methodology
5+ years delivering corporate training to data engineering and software engineering teams across industries and regions.
Practice-Based Learning
5 hands-on labs across 6 modules. Your team builds Elasticsearch and OpenSearch retrieval pipelines with instructor guidance.
Expert Trainers
5,000+ certified trainers matched to your vector search stack, with a full trainer profile shared before your program is booked.
Global Scale
One vector search program across your offices worldwide, in hybrid, onsite, or live virtual.
Measurable Outcomes
Baseline-to-capstone measurement and Skills Matrix reporting keep your vector search capability lift visible.
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?
Search & Vector Retrieval with Elasticsearch/OpenSearch 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 Search and Vector Retrieval with Elasticsearch/OpenSearch Training for Your Team
Tell us your team size, engineering roles, and preferred delivery mode. We will confirm availability and respond with a tailored training plan covering scope, schedule, and pricing.