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Agentforce + Data Cloud + AI Engineering

Build Salesforce AI agents that actually do the work

Implement Agentforce from scratch — agents, topics, actions and multi-step reasoning — grounded in Data Cloud, integrated with Flow and Apex, and governed for real business use.

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From 1500+ reviews
4.9/5

From 1500+ reviews

Modules
20

Modules

Programme length
3 mths

Programme length

Online / Offline · 3 months · live lectures with recordings and lifetime access

Who is this program for?

Agentforce sits on top of the platform you already know. This is who gets the most out of learning it now.

Apex and Flow ready

Salesforce Developers

Turn the Apex and Flow you already write into agent actions, and learn where an agent beats an automation — and where it does not.

No coding to start

Salesforce Admins

Build working agents with topics, instructions and standard actions before a single line of Apex. The declarative path is a real one here.

Design the solution

Consultants & Architects

Agent architecture, Data Cloud grounding, RAG and the Einstein Trust Layer — the decisions a client will hold you to.

Enterprise context

Data & AI Professionals

Bring prompt engineering and RAG experience onto Salesforce data: identity resolution, segmentation, activation and governance.

Why Choose RizeX Labs for Agentforce Training

An engineering course, not an AI overview — you ship agents into a real org.

Agent Builder

Agents, topics, instructions and actions — the building blocks, and how the Atlas Reasoning Engine uses them.

Prompt Engineering

Instructions versus prompts, grounding with Salesforce data, preventing hallucinations, controlling responses.

Agentforce + Flow & Apex

Flow-based and Apex agent actions, invocable logic, error handling and async considerations.

Data Cloud

Ingestion, DLO and DMO modelling, identity resolution, calculated insights, segmentation and activation.

RAG & Data Library

Retrieval-augmented generation on enterprise knowledge — retrievers, data sources and grounded agents.

Trust Layer & Governance

Einstein Trust Layer, data masking, agent permissions, least privilege and responsible AI practice.

AI-Assisted Development

Agentforce Vibes plus the coding tools developers actually use alongside Salesforce day to day.

Testing & Deployment

Testing agents, topics and actions, hallucination and negative testing, versioning and release.

4.8/5

Average learner rating

from 1500+ reviews

3000+

Active students

learning with us right now

270+

Hiring partners

actively interviewing

Detailed Course Curriculum

Twenty modules, 448 topics — from your first agent to Data Cloud grounding, governance and production deployment.

Tracks
8
Modules
20
Topics
448
01 Salesforce AI & Agentforce Fundamentals Understanding AI in Salesforce · Introduction to Agentforce · Agentforce Business Use Cases

Understanding AI in Salesforce

  • Evolution of AI in Salesforce
  • Traditional Salesforce automation vs Generative AI
  • Generative AI vs Predictive AI
  • AI Assistants vs AI Agents
  • From Copilot to Autonomous AI Agents
  • Salesforce AI ecosystem overview
  • Agentforce, Data Cloud and Einstein AI

Introduction to Agentforce

  • What is Salesforce Agentforce?
  • What are AI Agents?
  • How Agentforce works
  • Agentforce vs traditional automation
  • Agents vs Flows vs Apex
  • Agentforce architecture
  • Atlas Reasoning Engine
  • Context, reasoning and decision-making
  • Agentic workflows

Agentforce Business Use Cases

  • Sales Agents
  • Service Agents
  • Employee/Operations Agents
  • Marketing use cases
  • Lead qualification
  • Case resolution
  • Customer support
  • Knowledge-based responses
  • Record summarization
  • Follow-up automation
  • Data-driven recommendations
02 Agentforce Setup & Salesforce Environment Environment Setup · Agentforce Interface · Agent Building Blocks · Hands-on

Environment Setup

  • Creating an Agentforce-enabled Salesforce environment
  • Agentforce prerequisites
  • Enabling required Salesforce features
  • Required permissions
  • Permission Sets
  • User access
  • Licenses and entitlement considerations

Agentforce Interface

  • Agentforce Platform
  • Agent Studio
  • Agent Builder
  • Agentforce setup
  • Exploring pre-built agents
  • Agent configuration

Agent Building Blocks

  • Agents
  • Topics
  • Instructions
  • Actions
  • Variables/context
  • Agent responses
  • Agent lifecycle

Hands-on

  • Enable Agentforce
  • Configure permissions
  • Create your first custom agent
  • Configure Topics, Instructions and Actions
03 Building Agentforce Agents Creating Custom Agents · Topics · Agent Actions · Agent Reasoning

Creating Custom Agents

  • Agent creation
  • Defining agent purpose
  • Defining agent goals
  • Defining agent responsibilities
  • Agent instructions
  • Agent boundaries

Topics

  • Understanding Topics
  • Creating Topics
  • Topic classification
  • Topic instructions
  • Topic scope
  • Designing effective Topics

Agent Actions

  • What are Agent Actions?
  • Standard Actions
  • Custom Actions
  • Flow Actions
  • Apex Actions
  • Prompt Template Actions
  • External/API Actions

Agent Reasoning

  • Planning and execution
  • Multi-step reasoning
  • Context gathering
  • Action selection
  • Response generation
  • Handling ambiguity
  • Agent decision-making
04 Prompt Engineering for Agentforce Prompt Engineering Fundamentals · Agentforce Prompting · Advanced Prompt Patterns

Prompt Engineering Fundamentals

  • What is prompt engineering?
  • Instructions vs prompts
  • Context engineering
  • Role definition
  • Constraints
  • Expected output formats
  • Few-shot prompting
  • Structured prompting

Agentforce Prompting

  • Writing effective Agent instructions
  • Topic instructions
  • Action instructions
  • Context-aware prompting
  • Grounding prompts with Salesforce data
  • Preventing hallucinations
  • Controlling agent responses

Advanced Prompt Patterns

  • Chain-of-thought alternatives and controlled reasoning
  • Structured outputs
  • Conditional instructions
  • Dynamic context
  • Personalization
  • Prompt testing
05 Agentforce + Flow Agentforce and Flow · Custom Flow Actions · Event-Driven Agents

Agentforce and Flow

  • Agents vs Flow
  • When to use Agentforce
  • When to use Flow
  • Combining Agents + Flow
  • Calling Flows from Agents
  • Using Flow as Agent Actions

Custom Flow Actions

  • Creating Flow-based Agent Actions
  • Input/output variables
  • Invocable actions
  • Error handling
  • Complex Flow-based actions

Event-Driven Agents

  • Record-triggered Flows
  • Data-triggered automation
  • Invoking agents from Flow
  • Agent + Flow orchestration
06 Agentforce + Apex Apex for Agentforce · Custom Apex Actions · Advanced Apex Integration

Apex for Agentforce

  • Why Apex is required for advanced agents
  • Apex-based Agent Actions
  • Invocable Apex
  • Agent-to-Apex communication
  • Input/output handling

Custom Apex Actions

  • Creating Apex Agent Actions
  • Calling Salesforce business logic
  • SOQL from Agent Actions
  • DML operations
  • Error handling
  • Exception handling
  • Security considerations

Advanced Apex Integration

  • Async Apex considerations
  • Queueable Apex
  • Batch Apex use cases
  • Platform Events
  • Agentforce + Apex architecture
07 Agentforce + Salesforce Clouds Sales Cloud · Service Cloud · Marketing Cloud · Experience Cloud

Sales Cloud

  • Lead qualification
  • Lead enrichment
  • Opportunity assistance
  • Opportunity summarization
  • Sales recommendations
  • Account research
  • Follow-up generation

Service Cloud

  • Case classification
  • Case summarization
  • Case resolution
  • Knowledge-based responses
  • Customer interaction
  • Escalation workflows
  • Service Agent

Marketing Cloud

  • Customer personalization
  • Campaign assistance
  • Audience insights
  • Marketing content generation
  • Customer journey use cases
  • Agentforce + Marketing Cloud architecture

Experience Cloud

  • Customer self-service
  • Community agents
  • Portal-based agents
  • Customer support agents
08 Agentforce + Data Cloud Data Cloud Fundamentals · Data Ingestion · Data Modeling · Identity Resolution · +3 more

Data Cloud Fundamentals

  • What is Salesforce Data Cloud / Data 360?
  • Customer 360
  • Data Cloud architecture
  • Data Cloud lifecycle
  • Ingest → Model → Unify → Analyze → Segment → Activate

Data Ingestion

  • Data Streams
  • Salesforce data
  • External data
  • Amazon S3
  • APIs
  • Batch vs real-time ingestion

Data Modeling

  • Data Lake Objects (DLO)
  • Data Model Objects (DMO)
  • Data mapping
  • Data transformations
  • Data Explorer
  • Query Editor

Identity Resolution

  • Identity Graph
  • Matching rules
  • Rule Sets
  • Exact matching
  • Fuzzy matching
  • Unified Individual
  • Reconciliation
  • Golden customer profile

Insights

  • Calculated Insights
  • Streaming Insights
  • Measures
  • Dimensions
  • Aggregations
  • Customer-level insights

Segmentation

  • Creating segments
  • Segment criteria
  • Filters
  • Include/exclude logic
  • Unified profile segmentation

Activation

  • Activation Targets
  • Data activation
  • Marketing activation
  • External destinations
  • Activation schedules
  • Monitoring
09 Agentforce Data Library & RAG Understanding RAG · Agentforce Data Library · Data Cloud + RAG

Understanding RAG

  • What is Retrieval-Augmented Generation?
  • Why RAG is required for enterprise AI
  • RAG vs traditional prompting
  • Grounding AI with enterprise data

Agentforce Data Library

  • Data Libraries
  • Documents
  • Data sources
  • Retrievers
  • Search and retrieval
  • Grounding agents with enterprise knowledge

Data Cloud + RAG

  • DLO
  • DMO
  • Retrievers
  • Data Cloud permissions
  • Connecting Data Cloud information with Agentforce
  • Creating data-grounded agents
10 Agentforce + External Systems & APIs Integration Fundamentals · Agent Actions with APIs · Real-World Integrations

Integration Fundamentals

  • Agentforce integrations
  • REST APIs
  • External systems
  • Authentication
  • Connected Apps
  • Named Credentials
  • External Credentials

Agent Actions with APIs

  • Calling external APIs
  • Passing parameters
  • Processing API responses
  • Error handling
  • Authentication strategies

Real-World Integrations

  • Payment systems
  • ERP
  • HRMS
  • Banking systems
  • Travel systems
  • E-commerce systems
  • External AI models
11 Data Cloud Developer & API Capabilities Developer Track · Automation

Developer Track

  • Data Cloud APIs
  • Ingestion API
  • Query API
  • Connected Apps
  • Authentication
  • Postman
  • API testing
  • Data Cloud programmatic access
  • External system integration

Automation

  • Data Actions
  • Streaming Monitor
  • Platform-triggered Flows
  • Event-driven automation
  • Data Cloud → Salesforce automation
12 Einstein Trust Layer, Security & Governance Einstein Trust Layer · Salesforce Security · Agentforce Security · Responsible AI

Einstein Trust Layer

  • What is the Einstein Trust Layer?
  • Secure AI architecture
  • Data masking
  • Secure grounding
  • Data privacy
  • Auditability

Salesforce Security

  • Profiles
  • Permission Sets
  • Permission Set Groups
  • Object permissions
  • Field-level security
  • Record-level security
  • Sharing rules

Agentforce Security

  • Agent access
  • Action permissions
  • Data access
  • User context
  • Least privilege
  • Sensitive data handling

Responsible AI

  • AI governance
  • Hallucination management
  • Human oversight
  • Data privacy
  • Consent
  • Compliance
  • Responsible AI implementation
20 Data Governance, Consent & Privacy Data Governance · Privacy · Enterprise Governance

Data Governance

  • Data governance principles
  • Data quality
  • Data ownership
  • Data lifecycle
  • Data access

Privacy

  • Consent management
  • Consent API
  • Data privacy
  • Right to be Forgotten
  • Sensitive customer data
  • AI data usage

Enterprise Governance

  • AI governance framework
  • Agent governance
  • Human-in-the-loop
  • Security reviews
  • Responsible AI
13 Advanced Agentforce Capabilities Advanced Agent Architecture · Advanced Actions · Event-Based Agents

Advanced Agent Architecture

  • Multi-step agents
  • Multi-agent architecture
  • Agent orchestration
  • Agent-to-agent collaboration
  • Complex reasoning workflows
  • Agent handoffs
  • Human escalation

Advanced Actions

  • Apex Actions
  • Flow Actions
  • Prompt Template Actions
  • Model Builder Actions
  • API Actions
  • Data Cloud Actions

Event-Based Agents

  • Record changes
  • Platform Events
  • Data Cloud events
  • Record-triggered Flows
  • Event-driven Agentforce
14 Prompt Builder & Model Builder Prompt Builder · Model Builder

Prompt Builder

  • Introduction to Prompt Builder
  • Prompt Templates
  • Field generation
  • Record summarization
  • Flex Templates
  • Dynamic context
  • Apex integration
  • Flow integration
  • Calling Flow from Prompt Templates
  • Calling Prompt Templates from Flow
  • Advanced prompt architectures

Model Builder

  • Introduction to Model Builder
  • Standard models
  • Custom models
  • Model configuration
  • External models
  • Bring Your Own Model (BYOM)
  • Data Cloud + Models
  • Using models with Salesforce AI
15 Agentforce Vibes: AI-Powered Salesforce Development Agentforce Vibes · AI-Assisted Salesforce Development · Agentic Development Workflow

Agentforce Vibes

  • What is Agentforce Vibes?
  • Agentforce Vibes IDE
  • Agentforce Vibes VS Code Extension
  • Salesforce development with AI agents
  • Natural-language development
  • Understanding Salesforce metadata with AI
  • Context-aware development

AI-Assisted Salesforce Development

  • Generate Apex
  • Generate LWC
  • Generate SOQL
  • Generate Tests
  • Debug Apex
  • Debug LWC
  • Explain existing code
  • Refactor code
  • Generate Salesforce metadata
  • Generate documentation

Agentic Development Workflow

  • Plan
  • Generate
  • Review
  • Test
  • Debug
  • Deploy
  • Validate
16 AI Coding Tools for Salesforce Developers ChatGPT · ChatGPT Codex · Claude / Claude Cowork · Cursor AI · +1 more

ChatGPT

  • Salesforce development with ChatGPT
  • Apex generation
  • LWC generation
  • SOQL assistance
  • Debugging
  • Architecture discussions
  • Documentation
  • Test-case generation
  • Prompt engineering
  • Salesforce project planning

ChatGPT Codex

  • Introduction to Codex
  • Agentic coding
  • Working with Salesforce repositories
  • Understanding existing codebases
  • Feature development
  • Refactoring
  • Bug fixing
  • Test generation
  • Code review
  • Git workflows
  • Multi-step development

Claude / Claude Cowork

  • Claude for Salesforce development
  • Working with large codebases
  • Requirement analysis
  • Architecture design
  • Documentation
  • Code review
  • Project-level AI workflows
  • Using AI for Salesforce implementation planning

Cursor AI

  • Cursor IDE
  • AI-powered Salesforce development
  • Agent Mode
  • Codebase understanding
  • Multi-file development
  • Debugging
  • Refactoring
  • Terminal integration
  • Git integration
  • AI-assisted testing

GitHub Copilot

  • Copilot fundamentals
  • Apex assistance
  • LWC development
  • Code completion
  • Test generation
  • Documentation
  • Code review
  • Developer productivity
17 AI Development Workflow for Salesforce Projects AI-assisted workflow

AI-assisted workflow

  • ChatGPT → Requirement analysis
  • Claude → Architecture & large-context analysis
  • Agentforce Vibes → Salesforce development
  • Cursor → Codebase-level development
  • Codex → Agentic coding & engineering tasks
  • GitHub Copilot → In-editor assistance
  • Salesforce CLI → Deployment
  • GitHub → Version control
18 Agentforce Testing, Debugging & Monitoring Testing · Debugging · Monitoring · Optimization

Testing

  • Testing Agents
  • Testing Topics
  • Testing Actions
  • Testing prompts
  • Testing edge cases
  • Negative scenarios
  • Hallucination testing

Debugging

  • Agent debugging
  • Action debugging
  • Flow debugging
  • Apex debugging
  • API debugging
  • Data Cloud debugging

Monitoring

  • Agent monitoring
  • Event logging
  • Audit trails
  • Agent performance
  • Action execution
  • Failure analysis

Optimization

  • Response optimization
  • Prompt optimization
  • Action optimization
  • Context optimization
  • Cost considerations
  • Performance optimization
19 Deployment, ALM & Version Control Salesforce Deployment · Agentforce Deployment · Git & DevOps

Salesforce Deployment

  • Development → Sandbox → Production
  • Deployment strategies
  • Metadata deployment
  • Change Sets
  • Salesforce CLI
  • VS Code
  • Source-driven development

Agentforce Deployment

  • Agent versions
  • Agent configuration management
  • Action versioning
  • Testing before deployment
  • Environment-specific configuration

Git & DevOps

  • Git fundamentals
  • Branching
  • Pull Requests
  • Code review
  • CI/CD concepts
  • Salesforce DX
  • Automated testing
  • Deployment pipelines

Hands-On Learning Approach

Learn by doing with a structured, practical approach designed to help you understand concepts deeply and apply them effectively.

  • Practical, concept-driven learning approach
  • Guided exercises and implementation-focused sessions
  • Industry-aligned use cases and scenarios
  • Structured learning with step-by-step guidance

Trusted by 3000+ Learners

Watch a real class before you decide

Not a trailer — actual recorded sessions from this programme, so you can judge the teaching before you spend anything.

Demos unlocked

Recording coming soon We are arranging a live masterclass for this one — we will let you know.
Agentforce

Agentforce: the first session

How the programme opens, what the first week covers and how the live sessions run.

Recording coming soon We are arranging a live masterclass for this one — we will let you know.
Agentforce

Agentforce: a hands-on build

A full worked exercise from the course, start to finish, at the pace the batch actually moves.

Recording coming soon We are arranging a live masterclass for this one — we will let you know.
Careers

Placement support, explained

What resume review, mock interviews and profile marketing actually involve, from the team who run them.

Hands-On Builds

Every module ends in something that runs. These are the milestone builds.

Project 01

Your First Agentforce Agent

Enable Agentforce, configure permissions and ship a working custom agent with topics, instructions and actions.

Project 02

Multi-Topic Sales Agent

An agent that handles lead qualification, opportunity assistance and follow-up across several topics.

Project 03

Production Prompt Strategy

A grounded, tested prompt strategy for an Agentforce Service Agent that resists hallucination.

Project 04

Agent Driving Business Process

An agent that executes real Salesforce processes through Flow, with custom Apex actions behind it.

Project 05

Knowledge and RAG Agent

A Data Library and Data Cloud grounded agent answering from enterprise knowledge, not guesswork.

Project 06

External API Integration

An agent calling an external REST API with named credentials, parameter passing and error handling.

Talk to us

Request details for the Salesforce Agentforce Training programme

Batch dates, fees, and the format that fits your schedule — tell us where you are in your career and our team will come back with the specifics for this track.

  • Full syllabus and batch calendar
  • Fees and payment options for this track
  • A short call to check the track actually fits you

What You Will Achieve After This Program

Learn, build, and prove your skills with real projects, certification, and structured guidance toward job readiness.

Job-Ready Skills

Gain hands-on experience with real Agentforce use cases

Interview Confidence

Crack interviews with mock sessions and real questions

Salary Growth

Move into a pay band that support and non-IT roles rarely reach

Real Project Experience

Work on industry-based Agentforce projects

Resume & LinkedIn

Stand out with an optimised profile and project portfolio

Long-Term Career

Build a future-proof career in enterprise platforms

Real Students. Real Results.

From non-IT, career gaps, and freshers to working in top tech companies

Bhavesh Kadu, RizeX Labs learner
NonITBackground Salesforce Fresher
Coming from a non-IT background, I had zero confidence. RizeX Labs guided me step-by-step, and I landed my first Salesforce job in just 4 months.
Bhavesh Kadu
Rohini J, RizeX Labs learner
CareerGap ServiceNow
“The structured learning, real-time projects and Mock Interviews made everything easy to understand. Mock interviews helped me crack my first job.”
Rohini Juwar
Rajat M, RizeX Labs learner
CareerGap Salesforce
“Switching careers felt risky; I was struggling with a career gap, but the RizeX Labs mentorship and genuine placement support made it possible.”
Rajat Modi
Sachin S, RizeX Labs learner
ServiceNow Fresher
“From confusion to clarity — the industry-ready hands-on training roadmap and support system helped me secure a job quickly.”
Sachin Suroji
163+ Placements in 2025-26 and counting

Next is you

Every name on this page started where you are now.

How people actually got there

Two full stories from this track: where they started, what they learned, and what changed.

01 Salesforce Support Engineer → Salesforce Developer

From ₹4 LPA Support Engineer to ₹13 LPA Salesforce Developer

Mahindra P.

Mahindra came from a small town near Visakhapatnam and completed his Mechanical Engineering degree.

Like many graduates, he started his career in a support role. He was working as a Support Engineer with a salary of ₹4 LPA, but he wanted to move into a development-focused career.

He discovered Salesforce and decided to take the risk of starting something new. Instead of simply learning Salesforce theoretically, he focused on hands-on development, real-world projects, Apex, SOQL, LWC, and interview preparation.

The transition wasn't immediate. There were challenges, interview rejections, and moments of self-doubt. But he continued.

Eventually, Mahindra successfully transitioned from Support Engineering to Salesforce Development. Today, he is working as a Salesforce Developer with a leading Bank GCC, earning ₹13 LPA.

Career journey

  1. Starting point Mechanical Engineering graduate
  2. Year 1 Support Engineer
  3. Starting salary ₹4 LPA
  4. Transformation Salesforce training + hands-on projects
  5. Skills built Admin, Apex, SOQL, LWC, Development
  6. Career transition Support Engineer → Salesforce Developer
  7. Current role Salesforce Developer – Bank GCC
  8. Current salary ₹13 LPA

What changed

Before After
Mechanical Engineering
Salesforce Development
Support Engineer
Salesforce Developer
₹4 LPA
₹13 LPA
Limited development exposure
Strong development skills
Uncertain career direction
Specialized Salesforce career
Your first job doesn't have to be your final career.
— Mahindra P., Salesforce Developer
02 Salesforce IT Support → Salesforce Developer

He didn't change his degree. He changed his skills.

Rahul S.

Rahul started his career in IT Support. He was already working in the IT industry, but most of his day-to-day work involved support activities. He wanted to move into a more technical and development-oriented role.

The biggest challenge was simple: how do you switch careers when you already have a job and responsibilities?

Rahul started learning Salesforce alongside his work. He began with Salesforce fundamentals and gradually moved into Apex, SOQL, Lightning Web Components, automation, integrations, and real-world projects.

Instead of trying to learn everything at once, he followed a structured approach: learn, practice, build, apply, interview.

After building sufficient confidence and project experience, Rahul started applying for Salesforce roles. His efforts paid off. He successfully moved from an IT Support role into Salesforce Development and began building a career around Salesforce.

Career journey

  1. Background IT graduate
  2. Starting role IT Support
  3. Phase 1 Salesforce fundamentals
  4. Phase 2 Admin + configuration
  5. Phase 3 Apex + SOQL + LWC
  6. Phase 4 Real-world projects
  7. Phase 5 Interview preparation
  8. Result IT Support → Salesforce Developer

What changed

Before After
IT Support
Salesforce Development
Support-focused work
Development-focused work
Limited Salesforce knowledge
Hands-on Salesforce skills
Looking for career direction
Specialized technology career
You don't always need to start over. Sometimes, you just need to build the right skills on top of what you already have.
— Rahul S., Salesforce Developer

Free and premium masterclasses

Short, live sessions with the same trainers who run the programmes. Come to one before you commit to a course.

See all sessions

3000+

Active Students

40+

Supporting Staff

170+

Hiring Partners

8 Lacs

Average Salary

32 Lacs

Highest Salary

Placement Report

Download the latest RizeX Labs placement report

See where our learners were placed, the roles they moved into and the salary bands behind the numbers on this page. Enter your details and we will send the latest report to your inbox.

Hiring partners
270+

Hiring partners

Average package
8 Lacs

Average package

Highest package
32 Lacs

Highest package

Updated every quarter. No spam — just the report.

Frequently Asked Questions

Clear your doubts and get complete clarity before starting your journey with RizeX Labs.

Do I need to know Apex before learning Agentforce?
No. You build working agents with topics, instructions and standard actions before any code. Apex appears in Module 6 and builds up from invocable methods — useful, but not a prerequisite for starting.
Is Data Cloud included, or is it a separate course?
It is included and it is one of the largest modules — ingestion, data modelling, identity resolution, insights, segmentation and activation, then RAG on top of it. Agents without grounded data are demos, so we treat it as core.
Will I get an org with Agentforce enabled to practise in?
The course walks you through creating an Agentforce-enabled environment, the prerequisites, required permissions and licence considerations, so you practise in your own org rather than watching someone else's screen.
How is this different from a general AI or prompt engineering course?
It is Salesforce-specific engineering. Prompt engineering is one module of twenty. The rest is agent architecture, actions in Flow and Apex, Data Cloud, the Einstein Trust Layer, testing, deployment and governance.
Does the course cover AI coding tools as well?
Yes — Module 15 covers Agentforce Vibes, and Module 16 covers the AI coding tools Salesforce developers work alongside, including how to use them for Apex, LWC, testing and code review.
How long is the Agentforce programme?
Three months, online or offline, with live lectures, recordings and lifetime access to the material.
Do you offer weekend or flexible batches?
Yes. Batches run at different times and intensities, from 1 to 2 hours a day up to full-time. Tell our team your working hours and we will suggest the track that fits your schedule.
Will I get a certificate?
Yes. You receive a RizeX Labs Certificate of Completion, and the tracks are aligned to the official certification paths. Some programmes include a certification voucher — check the programme details above.
What placement support is included?
Resume building, an optimised LinkedIn and Naukri profile, mock interviews with real interview scenarios, profile marketing to our hiring partner network, and interview opportunities. Support continues after training until you are placed.
Are the sessions recorded?
Yes. Every live class is recorded and you keep lifetime access, so you can revisit any session and keep the course material for reference on the job.
What if I miss a class?
Every live session is recorded, and trainers hold separate doubt-clearing sessions, so you can catch up without falling behind the batch.
Can I pay in instalments?
Speak to our team about the payment options available for your chosen track. We will set out what is possible before you enrol, in writing.
Is the training online or offline?
Both. Most tracks run online with live instructor-led classes, and selected programmes run offline from our Pune centre. The format is listed against each track above.
Do you help working professionals who can only study after hours?
Yes — a large share of our learners are working professionals. Evening and weekend batches exist for exactly this, and recordings cover the sessions you cannot attend live.