SB
Spandana Bala
Salesforce Administrator
Hyderabad · India
Now at · Infosys
Salesforce · Business Analyst · Consultant · Agentforce-aligned · Enrolling now
Salesforce BA / Consultant
A career-focused, hands-on program: build strong Salesforce administration, business analysis and Flow automation foundations, then specialise in Sales Cloud, Service Cloud and Agentforce 360 solution design — and lead adoption of the new AIforce layer across Claude, Slack and the Lightning Coworker.
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 BA / Consultant program?
A Salesforce BA / Consultant turns business requirements into configured, tested and adopted Salesforce solutions — and now into governed Agentforce agents. Most business-analyst courses end at user stories and process maps. This program ends only when your requirements run as working Flows, Sales and Service Cloud configuration and Agentforce agents, delivered through DevOps Center with UAT evidence and adoption metrics.
The complete delivery chain
Twelve links, one owner — end to end.
01DISCOVER
- •Stakeholder discovery & interviews
- •Current-state process mapping (BPMN)
- •Epics, user stories & acceptance criteria
- •Agent use-case & guardrail specs
02CONFIGURE
- •Data model, security & sharing
- •Flow Builder automation
- •Sales & Service Cloud setup
- •Agentforce topics, actions & prompts
03DELIVER
- •Test plans, UAT & defect triage
- •DevOps Center & release management
- •Training, change management & go-live
- •Adoption & value measurement
AI in Salesforce · 2026
The platform went agent-first. BA and consultant roles moved with it.
AgentforceAgentic AI
Autonomous SDR, Sales Coach and Service agents that plan multi-step work on the Atlas Reasoning Engine — scoped through topics, instructions and actions the consultant defines.
Agent Builder & Prompt BuilderLow-code AI design
Design agent topics, natural-language instructions and reusable prompt templates without code — the new requirements artefacts of a Salesforce BA.
Einstein Trust LayerGovernance layer
Data masking, toxicity detection, zero-retention and audit trails — the controls employers now expect the consultant to specify and evidence.
Data Cloud (Data 360)Governed context
Unified profiles, Calculated Insights and segments that ground agents and prompts in real customer data instead of guesses.
Flow & Agent ActionsAutomation backbone
Flows, Apex invocables and MuleSoft actions that agents call to actually do the work — the bridge between a process map and a running agent.
DevOps CenterDelivery & release
Git-backed work items, pipelines and promotion replacing change sets — release evidence a consultant is expected to own.
What this means for your career: Salesforce BA and consultant roles increasingly ask for Agentforce scoping, Data Cloud grounding and trust-layer governance — the differentiator is shipping agents with acceptance criteria, UAT evidence and adoption metrics, not just process documentation.
Who should join
Built for people moving into Salesforce delivery.
Business analysts & product owners
Salesforce admins moving to consulting
Sales, service & CRM operations staff
Project managers & scrum masters
Functional consultants from other CRMs
Graduates targeting Salesforce roles
Prior experience: no coding required. The program builds CRM, process and platform foundations before advanced Agentforce work.
What you will be able to do
Run the requirement — and ship its AI safely.
Run discovery & write requirementsStakeholder interviews, BPMN process models, epics, user stories and acceptance criteria.
Configure the platformObjects, fields, security model, Flow Builder automation, reports and dashboards.
Deliver Sales & Service CloudLead-to-cash and case-to-resolution processes configured end to end.
Scope custom work & integrationsRead Apex and LWC, define REST/SOAP and MuleSoft integration requirements.
Design Agentforce agentsTopics, instructions, actions and Prompt Builder templates grounded in Data Cloud.
Test, release & drive adoptionTest plans, UAT, DevOps Center releases, training and change management.
Course curriculum
Twelve sections. 57 modules. From discovery to governed Agentforce delivery.
01
Salesforce Platform & the 2026 Stack for BAs
How Salesforce is layered today — Data 360, Customer 360, Agentforce and AIforce — and what a business analyst is expected to know about each layer.
What a CRM does — leads, accounts, contacts, opportunities, cases
Customer 360 apps: Sales, Service, Field, Marketing, Commerce, Revenue, Industries
Editions, licences, AppExchange and AgentExchange
BA and consultant career pathways and certifications
Data 360 — integration, federation and harmonization
Customer 360 — apps, semantics and workflow intelligence
Agentforce — the digital workforce of job-ready agents
AIforce — the live interface layer: Claudeforce, Slackforce, Coworker
App Launcher, navigation, record pages and related lists
Setup menu, Object Manager and where configuration lives
Creating a Developer Edition org and Trailhead Playground
Release cycle and reading release notes as a BA
What Salesforce Guardian and Zero Data Retention promise
Einstein Trust Layer controls a BA must capture as requirements
Model partners and what to ask about model choice
Translating trust controls into acceptance criteria
02
Business Analysis Foundations & Agile Delivery
The BA role, agile ways of working and the artefacts every Salesforce project runs on.
BA responsibilities across discovery, design, build, test and adoption
BA vs admin vs consultant vs product owner
BABOK knowledge areas applied to Salesforce
Working with architects, developers and admins
Scrum roles, events and artefacts
Sprint planning, refinement, review and retrospective
Kanban and hybrid delivery on Salesforce programmes
Jira, Azure DevOps and Salesforce DevOps Center work items
Writing INVEST user stories for Salesforce features
Acceptance criteria in Given-When-Then
Splitting epics and mapping stories to configuration
Definition of ready and definition of done
MoSCoW, WSJF and value-effort prioritisation
Story mapping and release planning
Managing dependencies across clouds and integrations
Estimation with story points and T-shirt sizing
BRD, FRD, solution design document and RTM templates
Using Agentforce Coworker and Claude to draft stories and process docs
Reviewing AI-generated requirements for accuracy
Version control and living documentation
03
Stakeholder Discovery & Requirements Elicitation
Run discovery that produces testable, traceable requirements and surfaces where agents add value.
Stakeholder maps, RACI and influence-interest grids
Executive sponsors, process owners and end users
Communication plans and cadence
Managing conflicting priorities
Interview guides and active listening
Facilitating discovery workshops and design sprints
Job shadowing and current-state observation
Capturing pain points, KPIs and success measures
Brainstorming, surveys, document analysis and prototyping
Functional vs non-functional requirements
Data, integration, security and reporting requirements
Traceability matrix from requirement to configuration
Identifying tasks suited to Agentforce agents vs Flow vs humans
Volume, variability and risk assessment for automation
Defining agent scope, topics, guardrails and escalation paths
Writing agent user stories and acceptance criteria
Walkthroughs, reviews and playback sessions
Prototyping with dev orgs and screen flows
Managing change requests and scope creep
Formal sign-off and baselining
04
Process Analysis & Modelling
Map current and future state so configuration and agents follow the business, not the other way round.
BPMN events, activities, gateways, swimlanes
Current-state (as-is) mapping
Tools: Lucidchart, Miro, Elements.cloud
Process documentation standards
Value stream mapping and waste identification
Five whys, fishbone and Pareto analysis
Cycle time, handoffs and rework metrics
Prioritising process improvements
To-be process mapping onto Salesforce objects and Flows
Where an agent, a Flow or a human handles each step
Human-in-the-loop, approvals and escalation design
Designing for measurability from day one
Context diagrams and data flow diagrams
Systems of record and integration touchpoints
Data dictionary and field mapping documents
Identifying Data 360 and MuleSoft needs
Standard vs configuration vs custom vs AppExchange
Fit-gap templates and decision logs
Estimating effort with admins and developers
Presenting options and trade-offs to stakeholders
05
Salesforce Configuration for BAs
Enough hands-on configuration to solution, prototype and validate — security, data model, Lightning and Flow.
Users, licences and profiles
Permission sets and permission set groups
OWD, role hierarchy and sharing rules
Documenting the security model as requirements
Standard and custom objects and fields
Lookup, master-detail and junction objects
Record types, page layouts and picklists
Schema Builder and data model documentation
Lightning App Builder and app design
Record pages, Dynamic Forms and Dynamic Actions
List views, Kanban and Path
Prototyping user experience for playback
Record-triggered and scheduled flows
Screen flows for guided processes
Approval processes and Flow Orchestration
Reading, testing and documenting Flows
Report types, formats and filters
Dashboards and subscriptions
Tableau Next and Tableau Knowledge overview
Defining KPIs and reporting requirements
Data Import Wizard and Data Loader
Duplicate and matching rules
Data migration planning and cleansing
Why data quality decides agent accuracy
06
Sales Cloud & Service Cloud Solutioning
Solution the two most common implementations end to end, with the packaged agents that now come with them.
Lead capture, assignment and conversion
Accounts, contacts, opportunities, products and price books
Sales processes, stages and forecasting
Quotes, orders and Revenue Cloud handoff
Piper for inbound qualification and meeting booking
Hunter for outbound prospecting
Requirements for channels, topics and rep handoff
Pipeline KPIs for agents
Case management, assignment and escalation rules
Omni-Channel routing, queues and Service Console
Knowledge management and article lifecycle
Entitlements, milestones and SLAs
Casey across voice, SMS, WhatsApp and chat
Paige for IT and HR employee service
Fin for complex customer workflows
Escalation and human handoff requirements
Industries clouds and when they fit
Field Service, Marketing and Commerce touchpoints
Experience Cloud portals for customers and partners
Multi-cloud data and process consistency
07
Agentforce 360 Solution Design
Design agents the way you design processes: scope, instructions, actions, trust and tests. Aligns with the Agentforce Specialist certification.
Atlas Reasoning Engine and how agents plan
Koa and model choice — Anthropic, Google, AWS, OpenAI
Employee vs customer-facing agents
Licensing and consumption basics for estimates
Defining an agent job description and scope
Writing topics, classification descriptions and instructions
Standard vs custom topics
Reviewing conversations in the Builder preview
Action types — Flow, prompt template, Apex, API
Specifying inputs, outputs and instructions for actions
Confirmation, approval and read-only guardrails
Working with admins and developers on actions
Prompt templates for email, field generation and flex use
Grounding with CRM fields and Data 360
Reviewing and versioning prompts with stakeholders
Prompt quality criteria
Data masking, toxicity detection and audit trail
Zero Data Retention and Salesforce Guardian
Responsible AI checklist as acceptance criteria
Agent Fabric and governance reporting requirements
Generating test utterances from stories
Batch testing and reading results
Agent UAT scripts and edge cases
Go-live criteria for an agent
08
Data 360 & Analytics Requirements
Define the unified data and reporting agents and stakeholders depend on.
Data streams, harmonization and unified profiles
Data spaces and permissions
Identity resolution rules
Where Data 360 fits in a solution design
Zero Copy across Snowflake, BigQuery and AWS
MuleSoft and Informatica — capturing integration needs
Source-to-target mapping documents
Working with data engineers and architects
Defining insights such as lifetime value
Segments and activation requirements
Enrichments back to CRM
Measuring impact
KPI definition and dashboard requirements
Tableau Next and semantic layer basics
Slackforce Surfaces — live shared views for stakeholder teams
Agent performance reporting
09
AIforce Adoption & Change Management
Lead adoption of Salesforce inside Claude, Slack and the Lightning Coworker — the new BA and consultant mandate.
AIforce as the live interface layer above the stack
Claudeforce, Slackforce, Agentforce Coworker and the Headless Toolkit
Permissions inheritance and Zero Data Retention
Beta status and stakeholder expectation setting
Salesforce in Claude — plugin installed from AgentExchange
The 37 sales skills and which teams benefit
Pilot design, success metrics and feedback loops
Scaling from pilot to organisation
Slack CRM — updating records from conversations
Slackforce Surfaces for team rituals and reviews
Channel design and governance
Training material for Slack-first users
ADKAR and Prosci basics applied to Salesforce
Training plans, champions and communication
Adoption metrics and Lightning Usage app
Handling resistance and feedback
Audit trail and approval controls for actions from Claude and Slack
Agent Fabric inventory and policy requirements
Incident process when AI acts incorrectly
Presenting governance evidence to leadership
10
Testing, UAT, Release & Go-Live
Own quality and release from test strategy through hypercare.
Test levels — unit, system, integration, UAT, regression
Test plans, test cases and traceability
Test data and sandbox strategy
Defect lifecycle and severity
UAT scripts from acceptance criteria
Running UAT sessions and capturing feedback
Triage, prioritisation and retest
UAT sign-off
Sandboxes, change sets and DevOps Center pipelines
Release notes, cutover plans and rollback
Deploying agents, prompts and Flows across environments
Release readiness checklists
Go / no-go criteria
Data migration cutover
Hypercare support model and issue tracking
Transition to run and continuous improvement
Baseline vs post-go-live KPIs
Agent containment, escalation and CSAT
Adoption dashboards and feedback loops
Backlog for the next release
11
Consulting Skills & Client Delivery
The skills partners hire for — workshops, estimation, proposals and communication.
Partner delivery models and roles
Salesforce project phases and gates
Statements of work, scope and assumptions
Time and materials vs fixed price
Designing and running client workshops
Playbacks, demos and storytelling
Handling difficult stakeholders
Executive summaries and decision papers
Estimating configuration, agents and integrations
Solution design document and RTM
Risk, assumption, issue and dependency logs
Proposal and pre-sales support
Handoffs and definition of done across roles
Reading technical designs and integration specs
Code-free review of Apex and LWC deliverables
Escalation and governance forums
12
Capstone, Certifications & Career
Bring it together in one client-style delivery and prepare for certification and interviews.
Discovery pack, BPMN maps and user stories
Configured Sales and Service Cloud with Piper and Casey
Claude and Slack enabled for a pilot team with governance evidence
UAT, release and value report with a public verification URL
Salesforce Certified Business Analyst
Salesforce Certified Administrator
Agentforce Specialist and AI Associate
Exam strategy and practice questions
Portfolio of artefacts — stories, maps, designs, dashboards
Resume rewrite around outcomes and clouds
BA and consultant interview 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.
Salesforce Business Analyst
Run discovery, write user stories and own UAT for Salesforce programs.
Salesforce Functional Consultant
Configure Sales and Service Cloud solutions against signed-off requirements.
Salesforce Administrator
Own the security model, data model, Flows, reports and release hygiene.
Agentforce Consultant
Scope, design and govern Agentforce agents grounded in Data Cloud.
Sales Cloud / Service Cloud Consultant
Deliver lead-to-cash and case-to-resolution processes end to end.
Salesforce Product Owner
Prioritise the backlog and translate business value into platform roadmaps.
CRM Implementation Consultant
Lead implementation workstreams from discovery to adoption.
Salesforce QA / UAT Lead
Plan test strategy, coordinate UAT and sign off releases.
Release & Adoption Manager
Run DevOps Center releases, training and change management.
Salesforce Solution Consultant (career path)
Grow toward solution design and architecture roles.
What employers should see in your portfolio: that you can take a requirement from discovery to adopted outcome — map the process, write testable stories, configure and integrate, run UAT, release through DevOps Center, and keep Agentforce behaviour inside the Trust Layer.
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.
