Retrieval Augmented Generation (RAG) Corporate Training
Build retrieval-augmented AI your team can trust.
Give your enterprise teams the RAG skills that ground every AI answer in your own data. This Retrieval Augmented Generation (RAG) corporate training program helps your employees learn how to design, build, and develop reliable RAG pipelines, from chunking to retrieval tuning. As a corporate training company, Edstellar delivers every session live with hands-on labs, tailored to your documents, roles, and goals, so your team leaves ready to apply RAG.
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 RAG-ready AI team
THE EDSTELLAR RETRIEVAL AUGMENTED GENERATION (RAG) CAPABILITY MODEL
Baseline RAG readiness
Skill checks map your team's current search, data, and AI knowledge before training.
Set retrieval standards
One shared playbook for chunking, embedding, and retrieval practices across teams.
Rehearse in live labs
Guided hands-on labs on chunking, embeddings, tuning, and troubleshooting RAG.
Prove the lift
Lab-based assessments benchmark each participant's RAG capability before and after.
Scale with confidence
One standard rolls out across cohorts and document sets as your RAG footprint grows.
Need more than one program?Get a group quote
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Program Overview: What is Retrieval Augmented Generation (RAG) Corporate Training?
Retrieval Augmented Generation (RAG) Corporate Training is Edstellar's instructor-led technical program for AI engineers, data scientists, and software teams building LLM applications. Participants master RAG foundations and architecture, document ingestion and chunking, embeddings and vector stores, and retrieval, reranking, and prompting. Topics include evaluation, guardrails, and troubleshooting for production pipelines.
Participants build at every step. They ingest and chunk documents, tune embeddings, configure vector stores, and improve retrieval precision with reranking in guided labs. Instructors coach the team from prototype to production-ready pipelines, reviewing each iteration with direct feedback. The program closes with a capstone: a production RAG assistant build the team designs, codes, and evaluates.
Teams often build RAG prototypes that impress in demos but fail in production: poor chunking, weak retrieval, hallucinated answers, and no evaluation discipline. This program teaches your engineers to build grounded, cited, measurable RAG systems. Your AI answers become trustworthy because every response traces to a source.
The capstone is a production RAG assistant the team builds from ingestion to evaluation, with guardrails and troubleshooting runbooks included. Engineers return with a deployment-ready reference architecture and the evaluation habits to keep every future RAG project honest.
Across six modules, your team moves from RAG fundamentals to a production-style capstone build. Participants understand chunking and embedding tradeoffs, enhance retrieval precision, and upskill from prototype RAG to production-ready pipelines that improve performance.
Delivered as a hybrid technical program, it fits around your operations with flexible scheduling. Teamwork improves as cohorts share patterns, and every technique transfers directly to day-to-day work.
What's Included in this Workshop for Your Enterprise Teams
- 1
RAG pipeline design
Design retrieve, augment, and generate flows.
- 2
Chunking and embedding labs
Practice chunking and embedding on your document types.
- 3
Retrieval tuning sessions
Tune retrieval, reranking, and context assembly.
- 4
Evaluation clinics
Measure retrieval quality and reduce wrong answers.
- 5
Capstone RAG build
Build and present a working RAG assistant.
- 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
Retrieval Augmented Generation (RAG) Course Topics and Program Outline
Your learning path runs from RAG fundamentals to a capstone build. Workshop sessions blend briefings with labs on a RAG tool stack, and you keep the materials. Beginner-friendly starts lead to advanced retrieval tuning, with assessments at each stage.
Designed by Edstellar and RAG practitioners
Built by engineers shipping retrieval-augmented AI in production, tailored to your documents before delivery.
We baseline your team's radio, signal processing, and network design skills so the ISAC labs start exactly where your engineers are.
Instructor-led sessions on 6G vision, radar fundamentals, and propagation, building the theory behind joint sensing and communications.
Guided hands-on labs: build waveforms, implement sensing pipelines, and run mmWave simulations with live instructor troubleshooting.
Harden a sensing deployment against real threats and ship a capstone ISAC prototype for a live 6G use case with expert review.
Every module pairs concept delivery with guided practice, so skills are proven on real ISAC tasks, not just discussed.
Delivered as
Delivered live by an instructor in hybrid, onsite, or virtual formats, with all labs run in guided simulation environments your team can reuse after the program.
Map a RAG pipeline for a sample document set. Identify where retrieval, augmentation, and generation happen, and set your technical baseline.
learna)What RAG is and when to use it
b)RAG vs fine-tuning and plain prompting
c)The retrieve, augment, generate pipeline
d)Common RAG use cases and limits
e)Technical baseline assessment
Ingest a mixed document set, apply chunking strategies with overlap, and compare retrieval results across chunk sizes.
learna)Document sources and connectors
b)Cleaning and normalizing text
c)Chunking strategies and overlap
d)Metadata and document structure
e)Chunking experiments on your documents
Generate embeddings, load them into a vector store, and tune similarity search for precision on realistic queries.
practicea)Embedding models compared
b)Vector stores and indexes
c)Similarity search and tuning
d)Updating vectors as documents change
Build hybrid retrieval with reranking, assemble context under window limits, and prompt for grounded answers.
practicea)Query understanding and rewriting
b)Hybrid search and reranking
c)Context assembly and window limits
d)Prompt design for grounded answers
Diagnose broken retrieval in failing pipelines, apply guardrails, and verify fixes with quality metrics.
practicea)RAG failure modes and hallucinations
b)Retrieval quality metrics
c)Guardrails for sensitive content
d)Monitoring pipelines in production
e)Troubleshooting RAG labs
Capstone lab: scope a RAG use case, build the pipeline end to end, evaluate quality, and present your findings.
applya)Capstone scoping and success criteria
b)End-to-end pipeline build
c)Quality evaluation and iteration
d)Findings presentation and debrief
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
Your team will leave able to design, build, tune, and evaluate RAG pipelines on your own documents. These competencies are built and measured in hands-on labs.
Design RAG pipelines
Map retrieve, augment, and generate flows for your document sets and use cases.
Chunk documents well
Apply chunking strategies and metadata so retrieval finds the right passages every time.
Build embedding pipelines
Generate embeddings, manage vector stores, and tune similarity search for precision.
Tune retrieval quality
Combine keyword and vector search, rerank results, and assemble grounded context.
Prompt for grounded answers
Design prompts that keep AI answers tied to retrieved passages and sources.
Evaluate RAG systems
Measure retrieval quality, diagnose failures, and add guardrails for production.
Ship RAG to production
Monitor pipelines, troubleshoot issues, and keep RAG assistants accurate over time.
Teams that Benefit from this Retrieval Augmented Generation (RAG) Group Training
This program is built for data, AI, and engineering teams bringing RAG into production, from data engineers to ML engineers. Groups work through role-relevant scenarios, and content adapts to role and experience, so each cohort practices the workflows it owns.
Ingestion pipelines that feed RAG reliably.
Data engineers build ingestion and chunking pipelines that keep RAG context fresh, structured, and traceable to source documents.
Workflow friction
- Unstructured documents breaking ingestion jobs
- Chunk sizes that miss key passages
- Stale documents feeding wrong answers
How the program helps
- Build robust ingestion pipelines
- Tune chunking for retrieval
- Version documents and vectors
Practice use cases
- Ingestion pipeline labs
- Chunking experiments
- Metadata design
- Refresh workflows
Embeddings and retrieval tuned for precision.
ML engineers select embedding models, tune vector search, and evaluate retrieval quality so answers stay grounded.
Workflow friction
- Embedding models mismatched to documents
- Similarity search returning weak matches
- No metrics for retrieval quality
How the program helps
- Benchmark embedding models
- Tune vector search and reranking
- Measure retrieval with metrics
Practice use cases
- Embedding benchmark labs
- Search tuning drills
- Reranking labs
- Quality metrics
RAG features shipped with confidence.
Software engineers integrate RAG into products, build evaluation into releases, and troubleshoot production pipelines.
Workflow friction
- RAG prototypes failing in production
- Prompts drifting from retrieved context
- No guardrails on generated answers
How the program helps
- Productionize RAG pipelines
- Design grounded prompts
- Add evaluation and guardrails
Practice use cases
- API integration labs
- Prompt design drills
- Guardrail labs
- Production debugging
Knowledge assistants that stay accurate.
IT teams deploy and maintain RAG assistants on internal knowledge, keeping content current and access controlled.
Workflow friction
- Knowledge bases going stale
- Access control gaps in assistants
- No monitoring after launch
How the program helps
- Keep knowledge bases current
- Control access to content
- Monitor assistants in production
Practice use cases
- Deployment labs
- Access control drills
- Refresh scheduling
- Monitoring setup
Small groups work through role-relevant scenarios, and cross-functional cohorts leave with reusable patterns that lift the whole workforce.
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.
Radio Engineer to ISAC Systems Specialist
Skills build in the order the program teaches them: foundations first, then guided waveform and sensing practice, then applied security and full system prototyping in the capstone.
One program that grows with wireless careers, from 6G basics to confident ISAC practice.
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 documents 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, mixing co-located and remote sessions around your calendar. Your team builds RAG pipelines with instructor coaching throughout. Best for deep technical practice with scheduling flexibility.
- Live instruction across combined formats
- Guided labs with instructor support
- Hands-on exercises on RAG tooling
- Blended format for flexible schedules
Onsite Training
Your instructor delivers at your facility with labs set up for your team. Every participant builds RAG pipelines with direct coaching. Best for co-located teams wanting maximum interaction.
- Instructor delivers at your facility
- Lab sessions on your document environment
- Direct coaching during technical exercises
- Best for co-located teams wanting maximum interaction
Live Virtual Training
Live instructor-led sessions on your platform with remote access to the full lab environment. Breakout rooms support small-group exercises and troubleshooting with the instructor. Ideal for distributed teams building RAG across locations.
- Live virtual training on Zoom or Teams
- Cloud-based lab environments
- Screen-shared guidance through every lab
- LMS access to materials after sessions
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, preferred dates, and delivery mode in the lead form. We reply with a tailored proposal covering scope, schedule, and pricing, per batch or per group.
Yes. A short discovery call helps us understand your documents, use cases, and goals, so we shape the program around your team before you commit.
Yes. Live virtual sessions run on your platform with full lab access, and scheduling is set around your calendar.
Yes. Your instructor can deliver at your facility with labs set up for your team, or you can run hybrid or live virtual instead.
The program runs 22 hours across six modules, typically over three to four days. Scheduling is flexible and mutually agreed to respect your team's availability.
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.
RAG comes after your team can build LLM applications and store embeddings in a vector database. Those two pieces are what a retrieval pipeline joins together; once RAG is in production, observability tells you whether retrieval and answers stay accurate as content and usage change.
Why Choose Edstellar as Your Retrieval Augmented Generation (RAG) Training Provider
If your team needs RAG assistants that answer from your own knowledge with confidence, start here. Share your training needs and we will shape a Retrieval Augmented Generation (RAG) program around your documents, timelines, and preferred delivery mode.
EXPERT TRAINERS
YEARS DELIVERING
ORGANIZATIONS TRAINED
CERTIFIED
Tailored
Every program is shaped around your documents, roles, and RAG use cases before delivery.
Expert trainers
Practicing RAG engineers lead every session, coaching your team through labs and troubleshooting.
Measurable outcomes
We track capability from baseline assessment to capstone, so your RAG lift stays visible.
Global scale
Deliver one shared RAG standard across sites and batches, in hybrid or virtual formats.
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?
Retrieval Augmented Generation (RAG) Corporate Training 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 Retrieval Augmented Generation (RAG) Training for Your Team
Tell us your team size, RAG challenges, delivery mode, and timelines. We respond with a tailored training plan covering scope, schedule, and pricing, and can start with a discovery call. Ask about availability.