SB
Spandana Bala
Salesforce Administrator
Hyderabad · India
Now at · Infosys
Salesforce · Data 360 · Data Cloud Consultant · Agentforce-aligned · Enrolling now
Salesforce Data 360
A career-focused, hands-on program: build strong data ingestion, harmonization and identity resolution foundations, then specialise in Zero Copy federation, Calculated Insights, segmentation and activation — and ground Agentforce agents, prompts and AIforce surfaces in trusted customer data.
100K+
alumni community
1,000+
hiring partners
4.8/5
avg class rating
12
partner centres
7
Edify Nuva centres
Where our Salesforce & Agentforce alumni work
Microsoft
Amazon
Salesforce
ServiceNow
Deloitte
Infosys
Accenture
TCS
Wipro
Capgemini
Cognizant
HCL
MicrosoftAmazonSalesforceServiceNowDeloitteInfosysAccentureTCSWiproCapgeminiCognizantHCL
Direct answer
What is the Salesforce Data 360 program?
A Data 360 specialist unifies customer data from every system into governed, activated profiles — the layer that decides whether Agentforce agents and AIforce surfaces answer correctly. Most data courses end at ingestion and segments. This program ends only when your unified profiles feed live Calculated Insights, activate to Sales, Service and Marketing, ground a working Agentforce agent, and carry the lineage, consent and governance evidence enterprises audit against.
The complete delivery chain
Twelve links, one owner — end to end.
01CONNECT
- •Connectors, Ingestion API & MuleSoft
- •Zero Copy to Snowflake, BigQuery & AWS
- •Data streams, DLOs & data spaces
- •Informatica & the Metadata Platform
02UNIFY
- •Mapping to the Customer 360 Data Model
- •Identity resolution & unified profiles
- •Calculated Insights & SQL
- •Segments & activation targets
03ACTIVATE & GOVERN
- •Grounding agents, prompts & Coworker
- •Slackforce Surfaces & Tableau Knowledge
- •Consent, privacy & Agent Fabric
- •Monitoring credits, lineage & quality
AI in Salesforce · Dreamforce '26
Agents are only as good as their data. Data 360 became the foundation layer.
Data 360 (formerly Data Cloud)Foundation layer
The bottom layer of the 2026 stack — integration, federation and harmonization — under Customer 360, Agentforce and AIforce. Every agent, prompt and Coworker answer is grounded here.
Zero Copy on AWSNew '26
Zero Copy extended to AWS Glue and S3 Iceberg tables, Aurora, RDS and SageMaker Lakehouse, alongside Snowflake, BigQuery, Databricks and Redshift — query in place instead of copying.
Informatica & MuleSoftIntegration
Informatica MCP servers now integrate with Bedrock AgentCore and Amazon Quick; MuleSoft supplies connectors and agent actions. Together they form the ingestion and quality layer beneath Data 360.
Agent Fabric & Metadata PlatformGovernance layer
Agent inventory, policies and interoperability plus a single metadata layer across Data 360, Customer 360 and third-party agents — the governance evidence enterprises audit.
Tableau Knowledge & Slackforce SurfacesNew '26
A semantic layer that gives agents and analysts the same definitions, and live Slackforce Surfaces that pin Data 360 insights into the channels where teams work.
Grounding Agentforce & KoaReasoning layer
Retrievers, Data Library and prompt grounding feed the Atlas Reasoning Engine and Koa with unified profiles — with Salesforce Guardian and Zero Data Retention across model providers.
What this means for your career: Data 360 roles increasingly sit at the centre of every Agentforce project — the differentiator is unified, consented profiles that measurably improve agent accuracy and activation, not just streams and segments.
Who should join
Built for people moving into customer data and AI grounding roles.
Salesforce admins & consultants
Data analysts & SQL users
Marketing Cloud & CDP practitioners
Data engineers on Snowflake, BigQuery or AWS
Agentforce builders needing better grounding
Graduates targeting data & AI roles
Prior experience: basic SQL and Salesforce familiarity help. The program builds data modelling and platform foundations before Zero Copy, insights and agent grounding.
What you will be able to do
Unify the data — and make every agent trustworthy.
Ingest & federate dataConnectors, Ingestion API, MuleSoft and Zero Copy to Snowflake, BigQuery, Databricks and AWS.
Harmonize & resolve identityMap to the Customer 360 Data Model, design match and reconciliation rules, build unified profiles.
Build insights & segmentsCalculated Insights with SQL, streaming insights, segments and activation to Sales, Service and Marketing.
Ground Agentforce & promptsRetrievers, Data Library, search indexes and prompt grounding that measurably improve agent answers.
Serve AIforce & analyticsTableau Knowledge, Tableau Next, Slackforce Surfaces and Coworker on unified data.
Govern & operateConsent, privacy, data spaces, lineage, Agent Fabric, credit monitoring and release management.
Course curriculum
Twelve sections. 51 modules. Connect → Unify → Activate → Ground.
01
Salesforce Platform & the 2026 Data Stack
Where Data 360 sits in the four-layer stack and what a data specialist is expected to know about each layer above it.
Leads, accounts, contacts, opportunities, cases as customer data
Customer 360 apps: Sales, Service, Marketing, Commerce, Revenue, Industries
Editions, licences and Data 360 consumption credits
Data 360 career pathways and certifications
Data 360 — integration, federation and harmonization
Customer 360 — apps, semantics and workflow intelligence
Agentforce — the digital workforce grounded in unified data
AIforce — Claudeforce, Slackforce, Coworker and the Headless Toolkit
Objects, fields, relationships and record types
Profiles, permission sets and sharing — what Data 360 inherits
Data Loader, duplicate rules and CRM data quality
Setting up a Developer Edition org with Data 360
Salesforce Guardian and Zero Data Retention with model providers
Einstein Trust Layer: grounding, masking and audit stored in Data 360
Model partners — Anthropic, AWS, Google, NVIDIA, OpenAI and Koa
What a data team must guarantee before grounding an agent
02
Data 360 Architecture & Setup
How Data 360 is built — lakehouse, data spaces, DLOs and DMOs — and how to provision it.
Data 360 (formerly Data Cloud) architecture overview
Data lake objects, data model objects and the Customer 360 Data Model
Metadata Platform as the shared semantic layer
Where Informatica, MuleSoft and Tableau Knowledge plug in
Provisioning Data 360 and connecting the home org
Data spaces for brands, regions and business units
Permission sets and data-space-level access
Admin settings and usage monitoring
Standard DMOs — Individual, Contact Point, Sales Order, Case
Subject areas — party, engagement, product, sales order, loyalty
Extending standard DMOs and creating custom DMOs
Modelling for downstream agents and analytics
Data kits for bundling streams, models and insights
Sandbox and multi-org strategies
Deploying Data 360 configuration between orgs
Documentation and naming conventions
03
Data Ingestion & Connectors
Bring data in from Salesforce, marketing, web, mobile and files — reliably and within credits.
CRM connector — objects, fields and refresh schedules
Marketing Cloud Engagement and Account Engagement connectors
Commerce, Loyalty and B2C Commerce connectors
Bundle selection and credit impact
Web SDK and mobile SDK setup
Engagement events and behavioural data streams
Consent capture at collection
Real-time vs batch ingestion
Ingestion API — bulk and streaming
Amazon S3, Google Cloud Storage and Azure Blob connectors
Schema design, YAML/OpenAPI and error handling
Monitoring ingestion jobs
MuleSoft Anypoint connectors and Data 360 ingestion
Informatica data quality, MDM and the Informatica MCP servers
Choosing between native connectors, MuleSoft and Informatica
Working with integration teams
Batch data transforms with visual builder and SQL
Streaming transforms for real-time data
Derived fields and data cleansing
Scheduling and dependency management
04
Zero Copy & Data Federation
Query data where it lives — the fastest-growing part of Data 360 and the 2026 headline on AWS.
Zero Copy data federation vs ingestion
Query federation, acceleration and data sharing
Cost, latency and governance trade-offs
When to federate and when to ingest
Snowflake data federation and data sharing setup
Databricks Delta Sharing and BigQuery connections
Mapping federated tables to DMOs
Performance tuning and acceleration
New AWS reach announced at Dreamforce '26
AWS Glue Data Catalog and S3 Iceberg tables
Aurora, RDS and SageMaker Lakehouse federation
Bedrock AgentCore and Amazon Quick with Informatica MCP servers
Sharing Data 360 objects to Snowflake, BigQuery and Databricks
Bring-your-own-lake patterns
Security and governance for shared data
Use cases for analytics and ML teams
05
Data Mapping & Harmonization
Turn raw streams into a consistent Customer 360 Data Model that agents and analytics can rely on.
Data mapping canvas and field mapping
Mapping to Individual, Contact Point and engagement DMOs
Handling multiple sources for one DMO
Validation and mapping review
Formula fields in DLOs and DMOs
Relationships and cardinality between DMOs
Data type conversions and key qualifiers
Troubleshooting mapping errors
Cleansing names, emails, phones and addresses
Standardisation with transforms and Informatica
Data quality metrics and monitoring
Why grounding fails on dirty data
Key qualifiers for multi-source consistency
Multi-brand and multi-region models
Data spaces vs separate orgs
Governance of shared DMOs
06
Identity Resolution & Unified Profiles
Build the unified individual that every segment, insight and agent answer depends on.
Deterministic vs fuzzy matching
Unified Individual and Unified Link objects
Match vs reconciliation
Impact on downstream activation
Designing match rules — exact, normalised, fuzzy
Reconciliation rules — source priority, most recent, most frequent
Party identification and anonymous profiles
Running and reviewing rulesets
Consolidation rate and over/under-matching
Iterating rulesets safely
Auditing and explaining a unified profile
Governance for identity changes
Exploring unified profiles
Data Explorer for DLOs and DMOs
SQL in Query Editor
Validating data for agents and analysts
07
Calculated Insights & Analytics
Metrics the business trusts — lifetime value, propensity, engagement — built once and used everywhere.
Aggregations, dimensions and measures
Lifetime value, recency and frequency insights
Scheduling and refresh
Using insights in segments and CRM
ANSI SQL in Data 360
Joins, window functions and CTEs
Performance and credit optimisation
Versioning and testing insights
Streaming insights on engagement data
Data actions to Flow, Platform Events and webhooks
Real-time triggers for agents and service
Monitoring and error handling
Tableau Next on Data 360
Tableau Knowledge as the semantic layer for agents and analysts
Slackforce Surfaces — pinning live insights into Slack channels
Dashboards and KPIs for stakeholders
Model Builder for propensity and churn
Bring-your-own-model with SageMaker, Vertex AI and Databricks
Using predictions in segments and agents
Monitoring model performance
08
Segmentation & Activation
From unified profiles to action in Sales, Service, Marketing, Commerce and advertising.
Segment canvas, attributes and related attributes
Nested segments and waterfall segmentation
Publishing schedules and rapid publish
Segment membership DMOs
Marketing Cloud Engagement and Account Engagement activation
Advertising platforms — Meta, Google, Amazon Ads
Commerce and Loyalty activation
File-based activation to S3 and SFTP
Related list and copy field enrichments on Contact and Lead
Surfacing insights on Sales and Service records
Flow triggers from Data 360 data
Enabling reps and agents with unified context
Personalization with Data 360 (Interaction Studio successor)
Real-time decisions and next-best-action
Web and mobile personalisation
Measuring lift and attribution
09
Grounding Agentforce & Prompts in Data 360
Make agents accurate: retrievers, knowledge, prompt grounding and evaluation. Aligns with the Agentforce Specialist certification.
Atlas Reasoning Engine, Koa and model choice
Job-ready agents — Piper, Hunter, Casey, Paige, Fin — and the data they need
Employee vs customer-facing grounding requirements
Consumption and credits for grounding
Vector databases and search indexes on unstructured data
Building retrievers over DMOs and knowledge
Chunking, embedding and hybrid search
Testing retrieval quality
Data Library for files, Knowledge articles and web content
Connecting libraries to agents and topics
Refresh, versioning and access control
Measuring answer accuracy
Prompt templates grounded with Data 360 related lists
Flex prompts, Apex and Flow grounding
Trust Layer masking on grounded data
Evaluating prompts before activation
Flow actions reading and writing Data 360 objects
Data actions triggering agents
Slack and Coworker experiences on unified data
Agentforce Testing Center for grounded agents
10
AIforce, Governance & Agent Fabric
Serve the new interface layer with governed data — and evidence it.
How Claudeforce, Slackforce and Coworker read Data 360
Permissions inheritance and Zero Data Retention
MCP tools over Data 360 objects
Beta status and expectation setting
Consent management and Data Use Purposes
GDPR, DPDP and CCPA obligations
Data deletion, right to be forgotten and retention
Field-level classification and masking
Agent Fabric — agent inventory and data policies
Metadata Platform as source of truth
Data lineage and impact analysis
Governance reporting to leadership
Digital Wallet and credit consumption
Optimising streams, transforms and queries
Alerting on job failures and drift
Capacity planning for agents
Encryption at rest and in transit
Shield and Security Center overlaps
Audit trails for grounded responses
Building a compliance evidence pack
11
Implementation & Consulting Skills
Deliver Data 360 the way partners do — discovery, design, build, run.
Stakeholder discovery for data and AI use cases
Source system inventory and data readiness
Value hypotheses and KPIs
Prioritising agent grounding use cases
Source-to-target mapping documents
Data model, identity and activation design
Zero Copy vs ingestion decisions
Estimation and credit forecasting
Build sequencing and sprint planning
Testing streams, identity, insights and activations
UAT with marketing, sales and service
Release management and hypercare
Handoffs across roles
Reading integration and warehouse designs
Governance forums and change control
Communicating data quality to stakeholders
12
Capstone, Certifications & Career
One end-to-end Data 360 build, certification and a verifiable portfolio.
Ingest CRM, web and a Zero Copy warehouse source
Harmonise, resolve identity and build Calculated Insights
Activate segments to CRM and Marketing; pin a Slackforce Surface
Ground a Casey or Piper agent and evidence accuracy, consent and lineage with a public verification URL
Salesforce Certified Data Cloud Consultant
Agentforce Specialist
AI Associate and Administrator (optional)
Exam strategy and practice questions
Portfolio of models, insights, segments and agent evaluations
Resume rewrite around data and AI outcomes
Data 360 interview scenarios and case studies
Warm introductions to hiring partners
Tools you'll master
25+ Salesforce & AI tools, one production project.
Real-time projects
You don't watch videos. You ship software.
Three full-production projects, each threaded through the entire curriculum. By the project, you've built the whole stack around them.
Hero project
Service Cloud agent on Agentforce
Build an end-to-end Service Cloud workspace — Omni-Channel intake, Flow Builder routing, and an Agentforce agent grounded on Data Cloud + Atlas Reasoning that summarises cases, drafts replies, and closes tier-1 tickets without a human in the loop.
01Live Service Cloud org with Case, Account, and Contact workflows wired through Flow Builder and entitlements.
02Omni-Channel intake from web, email, WhatsApp, and Slack — routed to the right queue with skills-based assignment.
03Agentforce agent grounded on Data Cloud knowledge that summarises cases, drafts customer replies, and auto-fills work notes.
04Atlas Reasoning agent that closes recurring tier-1 cases — password resets, return RMAs, status questions — with zero human touch.
Outcome: ~58% case deflection
Avg. resolution: −45%
Reviewer: Summit Partner panel
Service CloudAgentforceData CloudAtlas ReasoningFlow Builder
Enterprise
Sales Cloud + Einstein revenue copilot
Ship an opportunity-to-cash flow on Sales Cloud with Einstein Prediction Builder forecasting close probability, an Agentforce SDR agent that drafts emails and books meetings, and a CPQ flow that configures quotes against live Data Cloud signals.
Sales CloudEinsteinAgentforceCPQ
Real-time
Data Cloud unification stream
Stream events from MuleSoft, Heroku, and external apps into Data Cloud, unify identities into a 360° profile, and auto-trigger Marketing Cloud journeys plus an Atlas Reasoning agent that explains every segment shift to ops.
Data CloudMuleSoftMarketing CloudAtlas Reasoning
Project
Your AI Salesforce agent in a controlled project environment.
Pick a real partner workflow. Deploy a production agent into a Salesforce org — Agentforce + Atlas Reasoning + Data Cloud — that handles cases, drafts updates, and accelerates service & sales resolution.
Download the real world project
Full scope, sample deployment contexts, project milestones, and grading rubric — PDF, 14 pages.
Production-style capstoneCareer support included
Your instructor
Taught by engineers who shipped agentic AI to production.
MK
Manikanta Kona
Founder, Edify Nuva · Principal Salesforce & Agentforce Architect
Salesforce · Agentforce · Atlas Reasoning · Data Cloud · Apex · LWC
"Salesforce at enterprise scale is where AI agents earn their keep — Agentforce
grounded on Data Cloud, Atlas Reasoning orchestrating Sales, Service, and Marketing as one fabric. That's the
bar I teach to, every class."
15 yrs
SALESFORCE
2,400+
LEARNERS
4.8 /5
RATING
Manikanta is the founder of Edify Nuva and brings 15 years of enterprise platform architecture from AT&T, Salesforce, Cox Communications, and Broadcom — where he led Sales Cloud, Service Cloud, Marketing Cloud, and Data Cloud rollouts for Fortune-500 banks, telcos, and insurers. Most recently he architected production Agentforce + Atlas Reasoning deployments that replaced traditional triage tiers with autonomous case-handling.
His classes get you two things other programs don't give you: a founding architect who's shipped enterprise Salesforce + AI from inside the Fortune 500, and a curriculum rewritten every release — so when hiring managers ask about Data Cloud harmonisation, Agentforce sub-flows, or Atlas Reasoning orchestration, you've already built it. M.S. in Engineering, Purdue University.
RK
Ravi Krishna
Chief Technologist, Edify Nuva · Agentforce Lead
Agentforce · Atlas Reasoning · Data Cloud · Apex · LWC · Flow Builder · OmniStudio
"Agentforce is where Salesforce stops being a CRM and starts being the
decision layer of the enterprise — Atlas Reasoning planning multi-step actions, Data Cloud feeding
grounded context in real time, and Apex/LWC turning agent decisions into production behaviour. That's
what I teach."
10 yrs
SALESFORCE & AGENTS
1,800+
LEARNERS
4.8 /5
RATING
Ravi is Chief Technologist at Edify Nuva, where he leads the Agentforce and Salesforce engineering practice. After 8 years building production Apex, LWC, and integration pipelines on Sales Cloud and Service Cloud, he stepped into the Chief Technologist seat to wire Agentforce, the Atlas Reasoning Engine, and Data Cloud into the way revenue and service teams actually work — autonomous agents that resolve cases, qualify pipeline, and stitch together Sales, Service, Marketing, and Data Cloud without humans being the integration layer.
His Agentforce modules are built from real production rollouts, not slide decks. Expect to leave with working Agentforce Builder agents grounded on Data Cloud, Flow Builder orchestrations, OmniStudio guided flows, and Apex + LWC components that recruiters can actually verify in your dev org. Ten years on the Salesforce stack, eight of them shipping in production — Hyderabad-based, hands-on, and known for the unglamorous integration work everyone else skips.
HIRING PARTNERS · INDUSTRY VOICES
What Salesforce employers say about Edify Nuva grads.
Real feedback from talent leaders at Salesforce Summit / Crest Partners and the firms hiring our Salesforce + Agentforce graduates.
Edify Nuva grads ramp 40% faster on Agentforce projects than typical hires. Best Salesforce training pipeline in India.
Aakash Mehta, Partner Programme Lead, Salesforce
We've onboarded 80+ Edify Nuva alumni in 18 months. Lowest ramp time we've seen for Salesforce plus Agentforce practices.
Anita Sharma, Senior Manager, Deloitte
The Salesforce programme is comprehensive — Admin, Platform Developer I & II, plus Agentforce flows. Grads come pre-trained for enterprise.
Rahul Bhatt, Solutions Lead, Mphasis
Their Service Cloud + Einstein track produces engineers who write production-grade Apex and Flow Builder flows on day one. Genuinely rare.
Deepak Pillai, Senior Architect, TCS
What sets Edify Nuva apart is the Agentforce + Atlas Reasoning layer baked into the Salesforce track. Our enterprise clients ask for exactly this profile.
Suresh Menon, Practice Lead, Accenture
Their Salesforce Administrator + Platform Developer prep is rigorous, and the project Agentforce deployment on a real dev org is what closes interviews for us.
Vikram Iyer, Director, Infosys
Edify Nuva's Salesforce grads close cases twice as fast in the first 90 days on Service Cloud + Einstein. Our internal metrics back this up clearly.
Lakshmi Nair, VP Engineering, Wipro
Best Salesforce + Agentforce pipeline we've sourced from in India. Their projects are production work on real dev orgs, not toy code.
Karthik Subramanian, Engineering Director, Cognizant
Strong Marketing Cloud and Experience Cloud foundation. Their Salesforce grads need almost zero ramp time on enterprise engagements with us.
Arun Joshi, Practice Director, Capgemini
We've placed 40+ Edify Nuva alumni across our Salesforce and watsonx-on-Salesforce teams. Strong fundamentals, sharp on the Agentforce stack.
Sanjay Verma, Talent Director, IBM
Data Cloud + Einstein Prediction Builder is exactly the talent gap we've been struggling to close. Edify Nuva is filling it for us reliably.
Anjali Desai, Practice Head, LTIMindtree
Their Salesforce track delivers consultants who navigate Sales Cloud, MuleSoft, and Flow Builder on customer engagements unsupervised.
Ramesh Iyer, Senior Manager, Tech Mahindra
Hired 25+ Edify Nuva graduates for our Salesforce practice. Strong Apex, strong platform depth, sharp on the Agentforce layer.
Geetha Pillai, Talent Acquisition Lead, Cyient
Edify Nuva grads who blend Agentforce with Azure OpenAI land production-ready on day one. Rare combination, well-trained.
Priya Reddy, Talent Lead, Microsoft
03Program certifications
An Agent‑Ready credential, not a participation trophy.
Edify Nuva · Institute Certificate
Agent‑Ready Salesforce Engineer
Presented to
Spandana Bala
For the successful design, build, and production deployment of an AI agent on
the Salesforce Agentforce + Atlas Reasoning Engine + Data Cloud platform, evaluated against the 2026
Agent‑Ready rubric and Salesforce Administrator / Platform Developer I & II / Agentforce Specialist
competencies.
Manikanta Kona
CEO · Edify Nuva
AGENT
READY
2026
READY
2026
01
Industry‑recognized
Co‑branded with the Salesforce Summit / Crest Partner ecosystem and mapped to
Salesforce Administrator, Platform Developer I & II, and Agentforce Specialist — names that
hiring managers already scan for on resumes.
02
Project artifact included
Every certificate carries your project project name, the partner org, and a link to
the deployed Agentforce + Atlas Reasoning + Data Cloud artifact — proof, not a promise.
03
Enhanced skill validation
Graded against the 2026 Agent‑Ready rubric: Sales/Service Cloud design, Flow Builder
+ Apex build, Agentforce deployment, safety and monitoring. No pass/fail — a level 1‑5 band.
04
Verifiable on a public URL
Each credential has a public verification page recruiters can check in 10 seconds — no PDF
back‑and‑forth.
Job roles
Roles this program prepares you for.
Data 360 / Data Cloud Consultant
Design and deliver Data 360 implementations from discovery to activation.
Data 360 Administrator
Run streams, identity resolution, insights and credits day to day.
Customer Data Platform (CDP) Specialist
Own unified profiles, segments and activation across channels.
Agentforce Grounding Specialist
Build retrievers, Data Library and prompt grounding that make agents accurate.
Salesforce Data Engineer
Zero Copy, Ingestion API, MuleSoft and Informatica pipelines into Data 360.
Marketing Data & Personalisation Analyst
Segments, Calculated Insights and real-time personalisation.
Analytics Engineer (Tableau Next)
Semantic layer, Tableau Knowledge and dashboards on unified data.
Data Governance & Privacy Analyst
Consent, lineage, Agent Fabric policies and compliance evidence.
Identity Resolution Specialist
Match and reconciliation rules, unified profile quality.
Data 360 Solution Architect (career path)
Grow toward data and AI architecture roles.
What employers should see in your portfolio: that you can take customer data from source to grounded agent — connect and federate it, harmonise and resolve identity, build insights and segments, activate to CRM and Marketing, ground an Agentforce agent, and evidence consent, lineage and governance.
04Job placement support
Your first Salesforce offer isn't a lottery ticket. It's a built process.
GitHub, LinkedIn, resume — and most importantly, warm intros into Salesforce Summit and
Crest Partners. Our placement team works your search like an account, not a helpdesk.
01 / GITHUB PROFILE
A portfolio, not a graveyard.
Guidance on building a GitHub that showcases your unlocked packages, Agentforce + Atlas Reasoning project, Flow Builder flows, Apex + LWC components, and a working dev org link — reviewed 1:1, not via template.
02 / RESUME PREP
Rewrite, don't proofread.
A one-page resume rebuilt around the Salesforce clouds you implemented (Sales, Service, Marketing, Data Cloud), the Agentforce agent you deployed, and the business outcome. Reviewed by engineers who've read 10,000+ resumes.
03 / LINKEDIN + INTROS
Where most opportunities actually live.
Profile tuning plus direct warm introductions into the Salesforce Summit + Crest Partner network — Deloitte, Accenture, Cognizant, Capgemini, Slalom, Persistent, IBM, Wipro. You leave with recruiter contacts, not a generic "good luck."
Salesforce alumni
Hundreds of Salesforce careers launched — here are eight.
NV
Naveen Vedala
Apex Developer
Hyderabad · India
Now at · TCS
TA
Tejashwini Addla
Agentforce Specialist
Hyderabad · India
Now at · Deloitte
TD
Tharunesh Dillikar
Service Cloud Consultant
Seattle · United States
Now at · Salesforce
MM
Mujahed Mohammed
Marketing Cloud Engineer
Hyderabad · India
Now at · Accenture
BK
Bhargav Kumar Murala
Data Cloud Architect
Hyderabad · India
Now at · Capgemini
SL
Sai Manasa Leburi
OmniStudio Developer
New York · United States
Now at · Slalom
RD
Rahul Dhamma
Sales Cloud Lead
Hyderabad · India
Now at · Cognizant
Our locations
Come chat with us — over coffee, or over Zoom.
One flagship campus in Hyderabad, plus online Salesforce classes running on Indian and US timezones.
Flagship campus
Hyderabad
2nd Floor, Hitech City Road · Above Domino's · Opp. Cyber Towers, Jai Hind Enclave ·
Hyderabad, Telangana
Call
+91 8142998866
US desk
+1 256 388 7766
Hours
Mon–Sun · 7 AM–9 PM
Online class
Global
Weekend and evening Salesforce classes running on IST and PST. Every online class ships
the same three production projects and the Agentforce + Atlas Reasoning + Data Cloud project as the
on‑campus track, with Trailhead modules running alongside live training.
Timezones
IST & PST
Format
Live + Trailhead + 1:1 mentorship
Admissions
ENROLLING NOW
FAQ
Questions we actually get — answered honestly.
Straight answers on prerequisites, the platform, certifications, and placement. If something's missing, book a 20-minute advisor call — no slides, no pitch.
Do I need a CS background or prior CRM/Sales experience?
No on both counts. About 40% of every class comes from non-CS streams — mechanical, electrical, BCom, BBA — and zero Salesforce or CRM exposure is assumed. The opening modules cover the platform data model, Setup, and declarative tooling from scratch. What you do need is consistency and regular practice.
Do I get a real Salesforce dev org to build on?
Yes. Every learner provisions a free Developer Edition org and a scratch org from the start and keeps them for the full program. Every lab, project, and the project are built on your own live tenant — not a sandbox simulator — so the artifacts you ship are demonstrable to recruiters.
Are Salesforce Administrator and Platform Developer I & II covered?
Yes. The curriculum is mapped to Salesforce Administrator and Platform Developer I; the advanced track also preps Platform Developer II and the Agentforce Specialist credential. We run two full mock exams and reimburse the voucher fee on first-attempt pass.
Will I actually build with Agentforce, Atlas Reasoning, and Data Cloud?
You actually build. The Agentforce track is hands-on — you'll design agents in Agentforce Builder, ground them on Data Cloud, orchestrate multi-step actions on the Atlas Reasoning Engine, wire Einstein Prediction Builder for classification, and deploy your project agent into a real dev org. Nothing in the agent track is theory-only.
How is the learning workload structured?
The program combines live mentor-led classes, guided labs, project work, and optional support sessions. An advisor can explain the current class format before enrolment.
Is placement support really 1:1, and which companies hire?
Yes. Career support includes portfolio and profile preparation, interview practice, and role-fit introductions where available. Edify Nuva does not guarantee an interview, offer, salary, employer, location, or timeline.
Online, weekend, or on-campus?
All three. On-campus at the Hyderabad flagship, live online (IST and PST classes), and a weekend track for working professionals. Every format ships the same three projects and the same Agentforce + Data Cloud project — only the schedule changes.
What if I fall behind, or can't continue mid-class?
Freeze your seat for up to 90 days and rejoin the next class — no extra fee. TAs run catch-up sessions every Saturday for learners needing additional support, and recordings of every live session are available for the lifetime of your account.
Still have a question? Talk to an advisor — no slides, no pitch.
One million AI‑native professionals by 2027.
Let's put you in that number.
Book a 20‑minute advisor call. We'll map your current role to the right program, talk honestly about timelines, and walk you through a real class's project.
