SB
Spandana Bala
Salesforce Administrator
Hyderabad · India
Now at · Infosys
Salesforce · Platform Developer I & II · Agentforce-aligned · Enrolling now
Salesforce Dev (Apex & LWC)
A career-focused, code-first program: build strong Apex, SOQL, Lightning Web Components and integration foundations, then ship Agentforce custom actions, Headless 360 MCP tools and AI-assisted code with Claude Code — delivered through Git with tests and guardrails.
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 Dev (Apex & LWC) program?
A Salesforce developer designs, builds and ships applications, integrations and AI-powered actions on the Salesforce platform. Most development courses end at triggers and components. This program ends only when your code powers Agentforce agents — custom actions, prompt-grounded services and MCP tools exposed through Headless 360 — delivered through Git with tests, code review and guardrails.
The complete delivery chain
Twelve links, one owner — end to end.
01DESIGN
- •Data model & sharing design
- •Trigger & service-layer architecture
- •API contracts & integration patterns
- •Agent action & MCP tool specs
02BUILD
- •Apex classes, triggers & async jobs
- •Lightning Web Components & LDS
- •REST, GraphQL, Platform Events & callouts
- •Invocable actions, Agent Script & MCP tools
03SHIP
- •Apex & Jest tests, code review
- •Salesforce DX, Git & DevOps Center CI/CD
- •Agentforce Testing Center & guardrails
- •Monitoring, adoption & value
AI in Salesforce · Dreamforce '26
The platform went headless and agent-first. Developer roles moved with it.
Headless 360 & the Headless ToolkitAPIs · MCP · CLI
The whole platform — CRM, Data 360, Slack — exposed as APIs, MCP tools and CLI commands so agents act without a browser. AIforce is built on top of it; developers build the tools underneath.
Salesforce Development plugin for Claude CodeNew '26
A plugin with 40+ skills and access to Salesforce's skills library for development tasks. AIforce also gives builders 60+ MCP tools, custom MCP servers and 30+ coding skills.
Agentforce 360 & custom actionsAgentic AI
Seven job-ready agents plus Agent Builder. Developers extend them with invocable Apex, Flow actions, Agent Script and external API actions — the code that lets an agent actually do work.
Agentforce Vibes & Slack CodeAI-assisted dev
Natural-language app building on the platform and multiplayer coding sessions in Slack. The developer's job shifts toward reviewing, extending and hardening generated code.
Koa & model choiceReasoning layer
Salesforce's CRM reasoning model built with NVIDIA, alongside Anthropic, Google, AWS Bedrock and OpenAI. Developers design actions and prompts that hold up across models.
Data 360 & the Trust LayerGoverned context
Zero Copy federation and unified profiles ground agents; the Einstein Trust Layer, Salesforce Guardian and Agent Fabric are the governance developers must code within.
What this means for your career: developer roles increasingly ask for Agentforce actions, MCP tooling and AI-assisted delivery on top of Apex and LWC — the differentiator is shipping agent-ready code with tests, Git and governance evidence.
Who should join
Built for people moving into Salesforce platform engineering.
Salesforce admins moving to dev
Java, .NET & JavaScript developers
Existing Salesforce developers
Integration & API engineers
CS / IT graduates
Engineers building AI agents
Prior experience: basic programming helps, not required. The program builds Apex and JavaScript foundations before advanced platform and agent development.
What you will be able to do
Build on the platform — and ship its AI safely.
Write production ApexTriggers with a framework, service classes, SOQL/SOSL, async jobs, governor-limit-safe code.
Build Lightning Web ComponentsModern JavaScript, LWC lifecycle, Lightning Data Service, Apex wiring, Jest tests.
Integrate anythingREST, GraphQL, Bulk and Pub/Sub APIs, Platform Events, Named Credentials, MuleSoft.
Extend Agentforce with codeInvocable actions, Agent Script, prompt-grounded services and Data 360 retrievers.
Build for Headless 360Expose governed actions as MCP tools; work with the Claude Code plugin and Slack Code.
Ship with guardrailsSalesforce DX, Git, DevOps Center CI/CD, Testing Center, code review and monitoring.
Course curriculum
Ten sections. 48 modules. Apex → LWC → Integrations → Agentforce → Headless 360.
01
Platform Foundations for Developers
Enough admin to build well — the data model, security model and declarative tools every developer must respect, plus the 2026 stack.
The four layers and where code runs in each
Headless 360 — APIs, MCP tools and CLI as a first-class surface
AIforce: Claudeforce, Slackforce, Coworker and what developers build underneath
Developer career pathways and certifications
Developer Edition org, scratch orgs and sandboxes
Salesforce CLI, VS Code and Salesforce Extensions
Code Builder and the Salesforce Development plugin for Claude Code (overview)
Git basics and repository structure
Standard and custom objects, fields and record types
Lookup, master-detail, junction and external objects
Schema Builder and data model documentation
Designing for SOQL and sharing performance
Profiles, permission sets and permission set groups
OWD, role hierarchy, sharing rules and Apex managed sharing
Field-level security, with sharing / without sharing / inherited sharing
Security review basics and CRUD/FLS enforcement
Record-triggered and screen flows
Approval processes and Flow Orchestration
Validation rules and formula fields
Choosing declarative vs code
02
Apex Fundamentals
The language, runtime and limits — written the way the platform expects.
Apex syntax, data types, variables and operators
Classes, interfaces, enums and access modifiers
Multi-tenant execution and governor limits
Order of execution
Lists, Sets and Maps and their idioms
Loops, conditionals and exception handling
Custom exceptions and error handling patterns
Bulk-safe collection processing
SELECT, WHERE, ORDER BY, LIMIT, aggregate functions
Relationship queries — parent-to-child and child-to-parent
Dynamic SOQL and binding variables
SOSL and search patterns
insert, update, upsert, delete, undelete, merge
Database methods and partial success
Transaction control, savepoints and rollback
Bulk DML and limits
Inheritance, interfaces, abstract and virtual classes
Service, selector and domain layers
Singleton, factory and strategy patterns in Apex
Writing reusable, testable code
03
Advanced Apex
Triggers, asynchronous processing and the patterns that keep enterprise orgs healthy.
Trigger events, context variables and recursion control
One trigger per object and handler classes
Trigger frameworks — fflib and lightweight alternatives
Bypass and feature switches
Future methods and their limits
Queueable Apex and chaining
Batch Apex and stateful processing
Schedulable Apex and monitoring jobs
Publishing and subscribing to platform events
Change Data Capture and event-driven design
Event replay and error handling
Pub/Sub API overview
Custom metadata types vs custom settings
Configuration-driven Apex
Feature flags and environment differences
Packaging configuration
Debug logs, checkpoints and Apex Replay Debugger
Query plans and selective SOQL
Heap, CPU and SOQL limit management
Large data volume patterns
@InvocableMethod and @InvocableVariable design
Exposing Apex to Flow and Agentforce agents
Input/output contracts an agent can reason over
Guardrails: confirmation, idempotency and logging
04
JavaScript & Lightning Web Components
Modern front-end development on the platform, from ES6+ to enterprise-grade components.
ES6+ — let/const, arrow functions, destructuring, modules
Promises, async/await and the event loop
Classes, getters and decorators
Debugging in browser DevTools
Component structure — HTML, JS, CSS, meta XML
Lifecycle hooks and reactivity
@api, @track and getters
Composition, slots and conditional rendering
SLDS utilities and styling hooks
Base components — lightning-datatable, record forms, inputs
Accessibility and responsive layouts
Custom styling and CSS boundaries
Lightning Data Service and record forms
@wire with adapters and Apex methods
Imperative Apex calls and error handling
Caching, refreshApex and getRecordNotifyChange
Custom events and parent-child communication
Lightning Message Service
NavigationMixin and page references
Quick actions, utility bar and Experience Cloud usage
Dynamic components and third-party libraries
LWC in Flow screens and Agentforce surfaces
Jest unit tests, mocks and wire adapters
Performance and lazy loading
05
Integrations & APIs
Connect Salesforce to everything, and expose it safely to agents and external systems.
Request-reply, fire-and-forget, batch, remote call-in
REST, SOAP, Bulk 2.0, Streaming, Pub/Sub, GraphQL and Composite APIs
API limits and choosing the right API
Authentication with OAuth 2.0 flows
HTTP callouts, JSON parsing and wrapper classes
Named and external credentials
Callout limits, timeouts and retries
Mocking callouts in tests
@RestResource and custom Apex REST endpoints
Connected apps and API security
GraphQL API for LWC and external clients
Versioning and documentation
MuleSoft Anypoint and Composer overview
External Services from OpenAPI specs
Data 360 Zero Copy and ingestion APIs
Informatica and Agent Fabric — where developers hand off
Headless Toolkit — APIs, MCP servers and CLI
Designing governed MCP tools for external agents (Claude, Gemini, Copilot)
Permissions inheritance and Zero Data Retention
Testing tools from Claude and Slack
06
Agentforce Development
Extend the digital workforce with code: actions, prompts, grounding and the Trust Layer.
Atlas Reasoning Engine, Koa and model choice
Agent Builder — topics, instructions, actions
Job-ready agents: Piper, Hunter, Casey, Paige, Fin
Employee vs customer-facing agents and licensing
Flow actions vs invocable Apex vs external API actions
Action instructions, inputs and outputs
Multi-step actions and orchestration
Error handling and human handoff
Agent Script for deterministic agent behaviour
Combining scripted and reasoning steps
Versioning and testing scripted agents
When to script vs when to instruct
Prompt templates and merge fields
Grounding with Apex, Flow and Data 360 retrievers
Invoking prompt templates from Apex and LWC
Prompt evaluation and versioning
Search indexes, retrievers and the Agentforce Data Library
Grounding agents in unified profiles
Vector search and knowledge grounding
Measuring answer quality
Einstein Trust Layer — masking, toxicity, audit
Salesforce Guardian and Zero Data Retention in code paths
Agentforce Testing Center and batch evaluations
Agent Fabric and governance evidence
07
AI-Assisted Development
Use the new AI tooling without giving up engineering discipline.
Installing the plugin and its 40+ skills
Generating Apex, LWC and tests with review
Repository conventions and prompt hygiene
What to always review by hand
Agentforce Vibes for natural-language building
Slack Code — multiplayer coding sessions with an agent
From prototype to hardened code
Team workflows and code ownership
Generating Apex and Jest tests
Reviewing AI-written tests for real coverage
Documentation and release notes with AI
Security review of generated code
Code review checklists for generated code
Secure coding — CRUD/FLS, injection, secrets
Licensing and IP considerations
Measuring productivity and quality
08
Testing & Quality
Tests that prove behaviour — for Apex, components, integrations and agents.
Test classes, @isTest and test data factories
Assertions, Test.startTest and limits
Coverage vs meaningful tests
Test data and @TestSetup
Mocking callouts and interfaces
Testing async Apex and platform events
Testing sharing and permissions
Negative and bulk tests
Jest for LWC — mocks, wire adapters, DOM assertions
UTAM and end-to-end testing basics
Accessibility testing
Playwright / Provar overview
Agentforce Testing Center scenarios
Contract testing for APIs and MCP tools
Load and performance testing considerations
Regression suites in CI
09
DevOps & Release Management
Deliver through Git with pipelines, quality gates and safe promotion.
Project structure, metadata and source format
Scratch orgs and org shapes
Retrieve, deploy and conflict resolution
Unlocked and managed packages overview
Git fundamentals, branching and pull requests
Trunk-based vs Gitflow for Salesforce
Code review workflows
Handling metadata merge conflicts
DevOps Center — projects, work items, pipelines
GitHub Actions for validation and deployment
Quality gates — tests, PMD, security scans
Deploying agents, prompts and Flows across environments
Release readiness and rollback plans
Event Monitoring, logs and error alerting
Agentforce Command Center for agent operations
Hypercare and continuous improvement
10
Capstone, Certifications & Career
Ship one production-grade project and prepare for certification and interviews.
Custom app with Apex service layer and LWC workspace
REST integration and platform events
Agentforce agent with custom actions grounded in Data 360
MCP tool exposed via Headless 360 and tested from Claude; delivered via Git and DevOps Center
Platform Developer I and II
JavaScript Developer I
Agentforce Specialist and AI Associate
Exam strategy and practice
GitHub portfolio with unlocked packages and a working org link
Resume rewrite around shipped outcomes
Developer interview coding exercises and system design
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 Developer
Build Apex, LWC and automation on the platform.
Agentforce Developer
Ship custom agent actions, Agent Script and prompt-grounded services.
Salesforce Integration Developer
Design REST, GraphQL, Platform Event and MuleSoft integrations that fail safely.
Lightning / Front-End Developer
Build LWC workspaces and Experience Cloud components.
Headless 360 / MCP Tool Developer
Expose governed Salesforce actions to external AI agents.
Salesforce Senior / Lead Developer
Own delivery standards, code review and architecture.
Salesforce DevOps Engineer
Run Git-driven CI/CD, DevOps Center and quality gates.
AI-Assisted Delivery Engineer
Work with Claude Code, Agentforce Vibes and Slack Code inside engineering standards.
Platform Developer I / II Certified Developer
Deliver certified custom applications across the enterprise.
Salesforce Technical Architect (career path)
Grow toward technical and solution architecture roles.
What employers should see in your portfolio: that you can take a requirement from design to shipped outcome — model the data, secure it, build and integrate, expose it to agents, test normal and unsafe paths, deliver through Git, and keep AI behaviour inside guardrails.
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.
