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Generative AI, LLMs & Agentic AI

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Core to Advanced Software Craft
Artificial Intelligence & ML
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Generative AI Training Plan

Flagship Master Track

Machine Learning, Deep Learning, GenAI, RAG & Autonomous Agentic AI

60 Hours Live
Live Mentor-Led Sessions
Hands-on Coding Labs & GitHub
Accredited Certificate
Generative AI Training Plan
Flagship Master Track

Generative AI Training Plan

From Core Python & EDA to Generative AI & Autonomous Agentic Systems with 5 independent progressive levels.

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AGENTIC AI & LLMS
10 Days (20 Hours Live)
View Full Curriculum

Salesforce Agentforce

Upon successful completion of this course, learners will be able to configure and customize Salesforce Agentforce, design and manage Custom Agents and Subagents, create and activate Prompt Builder templates, apply Einstein Trust Layer concepts, configure Flow-based and Apex-based Agent Actions, use variables, routing, filters, and guardrails, integrate Prompt Builder with Flows, and implement practical business solutions such as Banking Service Agents using Agentforce.

Live Interactive Syllabus
10 Days (20 Hours Live)
•
Instructor-Led Online
•
10 Hands-on Coding Labs
What you'll master in Level 7
Target Competency Outcome

Upon successful completion of this course, learners will be able to configure and customize Salesforce Agentforce, design and manage Custom Agents and Subagents, create and activate Prompt Builder templates, apply Einstein Trust Layer concepts, configure Flow-based and Apex-based Agent Actions, use variables, routing, filters, and guardrails, integrate Prompt Builder with Flows, and implement practical business solutions such as Banking Service Agents using Agentforce.

Training Objectives & Core Deliverables

Understand AI, Generative AI, LLMs, and contrast traditional chatbots vs copilots vs autonomous agents.

Master Agentforce Architecture, Atlas Reasoning Engine, agent personas, behavioral instructions, and guardrails.

Engineer effective prompts with grounding, context, zero-shot, few-shot prompting, and hallucination safeguards.

Create, refine, and activate Prompt Builder templates (Field Generation, Record Summary, and Flex Templates).

Day-by-Day Training Schedule & Live Labs
10 Live Sessions • 100% Hands-on
Day 1
AI and Agentforce Fundamentals
Live Session
Topics Explored:
Artificial Intelligence
Generative AI
Large Language Models
traditional chatbot vs copilot vs autonomous agent
Agentforce capabilities
benefits
limitations
and suitable business use cases
Hands-on Lab Exercise

Hands-on practical org drills for AI and Agentforce Fundamentals

Day 2
Agentforce Architecture and Reasoning
Live Session
Topics Explored:
Agent persona
role
jobs
instructions
rules
guardrails
skills
data access
channels
and Atlas Reasoning Engine
Hands-on Lab Exercise

Hands-on practical org drills for Agentforce Architecture and Reasoning

Day 3
Prompt Engineering
Live Session
Topics Explored:
Prompt instructions
context
grounding
constraints
tone
output format
zero-shot prompting
few-shot prompting
hallucination awareness
and prompt refinement
Hands-on Lab Exercise

Hands-on practical org drills for Prompt Engineering

Day 4
Prompt Builder
Live Session
Topics Explored:
Prompt Builder purpose
required permissions
input resources
merge fields
Field Generation templates
Record Summary templates
Flex Prompt Templates
preview
refinement
and activation
Hands-on Lab Exercise

Hands-on practical org drills for Prompt Builder

Day 5
Einstein Trust Layer and Safe AI
Live Session
Topics Explored:
Secure data retrieval
dynamic grounding
data masking
secure model gateway
zero data retention
toxicity detection
auditability
prompt access
and sensitive-data guardrails
Hands-on Lab Exercise

Hands-on practical org drills for Einstein Trust Layer and Safe AI

Day 6
Agent Types and Custom Agent Design
Live Session
Topics Explored:
Default Agent vs Custom Agent
built-in agent awareness
agent purpose
persona
behavioral instructions
guardrails
agent user
permissions
data access
activation
and deactivation
Hands-on Lab Exercise

Hands-on practical org drills for Agent Types and Custom Agent Design

Day 7
Subagents, Variables, and Routing
Live Session
Topics Explored:
Subagents
classification descriptions
scope
reasoning instructions
standard vs custom Subagents
conversational variables
input collection
routing
and model-selection awareness
Hands-on Lab Exercise

Hands-on practical org drills for Subagents, Variables, and Routing

Day 8
Agent Actions with Flow
Live Session
Topics Explored:
Standard and custom Actions
Flow-based Actions
auto launched Flow requirements
Action inputs and outputs
permissions
Action instructions
and Subagent-to-Action mapping
Hands-on Lab Exercise

Hands-on practical org drills for Agent Actions with Flow

Day 9
Agent Actions with Apex and Filters
Live Session
Topics Explored:
Apex-based Actions
invocable inputs and outputs
Apex class access
Action instructions
filters
conditional Action availability
and output mapping
Hands-on Lab Exercise

Hands-on practical org drills for Agent Actions with Apex and Filters

Day 10
Prompt, Flow, and Agent Integration
Live Session
Topics Explored:
Flex Prompt Templates
record grounding
prompt invocation from Flow
generated outputs
Screen Flow integration
Lightning record-page placement
and relationship between Prompt Builder
Flow
and Agentforce
Hands-on Lab Exercise

Hands-on practical org drills for Prompt, Flow, and Agent Integration

Detailed Module-wise Curriculum
10 Modules

Artificial Intelligence

Generative AI

Large Language Models

traditional chatbot vs copilot vs autonomous agent

Agentforce capabilities

benefits

limitations

and suitable business use cases

Lab Practical: Hands-on practical org drills for AI and Agentforce Fundamentals

Agent persona

role

jobs

instructions

rules

guardrails

skills

data access

channels

and Atlas Reasoning Engine

Lab Practical: Hands-on practical org drills for Agentforce Architecture and Reasoning

Prompt instructions

context

grounding

constraints

tone

output format

zero-shot prompting

few-shot prompting

hallucination awareness

and prompt refinement

Lab Practical: Hands-on practical org drills for Prompt Engineering

Prompt Builder purpose

required permissions

input resources

merge fields

Field Generation templates

Record Summary templates

Flex Prompt Templates

preview

refinement

and activation

Lab Practical: Hands-on practical org drills for Prompt Builder

Secure data retrieval

dynamic grounding

data masking

secure model gateway

zero data retention

toxicity detection

auditability

prompt access

and sensitive-data guardrails

Lab Practical: Hands-on practical org drills for Einstein Trust Layer and Safe AI

Default Agent vs Custom Agent

built-in agent awareness

agent purpose

persona

behavioral instructions

guardrails

agent user

permissions

data access

activation

and deactivation

Lab Practical: Hands-on practical org drills for Agent Types and Custom Agent Design

Subagents

classification descriptions

scope

reasoning instructions

standard vs custom Subagents

conversational variables

input collection

routing

and model-selection awareness

Lab Practical: Hands-on practical org drills for Subagents, Variables, and Routing

Standard and custom Actions

Flow-based Actions

auto launched Flow requirements

Action inputs and outputs

permissions

Action instructions

and Subagent-to-Action mapping

Lab Practical: Hands-on practical org drills for Agent Actions with Flow

Apex-based Actions

invocable inputs and outputs

Apex class access

Action instructions

filters

conditional Action availability

and output mapping

Lab Practical: Hands-on practical org drills for Agent Actions with Apex and Filters

Flex Prompt Templates

record grounding

prompt invocation from Flow

generated outputs

Screen Flow integration

Lightning record-page placement

and relationship between Prompt Builder

Flow

and Agentforce

Lab Practical: Hands-on practical org drills for Prompt, Flow, and Agent Integration
AGENTIC AI & LLMS COMPETENCY BADGE
Certificate of Technical Competency — Salesforce Agentforce

Complete all live hands-on labs to earn this verifiable competency badge. This credential unlocks progression to full program graduation.

LIVE ONLINE COHORT
Admissions Open
Enroll in Salesforce Agentforce
Reserve your seat for upcoming live batches, syllabus consultation & fee structure.
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Frequently Asked Questions

Frequently Asked Questions: Salesforce Training Plan (220+ Hours)

Find clear answers to common questions about our live interactive classes, cohort schedules, project mentoring, and career assistance.

Student Support

1-on-1 Guidance Available

Still have questions?

Can't find what you're looking for? Reach out to our training advisors for personalized course guidance.

The program consists of 7 progressive technical tracks covering 220+ hours of live training: 1) Salesforce Beginner (20h), 2) Salesforce Advanced Admin — Job Ready (40h), 3) Salesforce Development Beginner (20h), 4) Salesforce Development Advanced (40h), 5) Salesforce Admin + Developer (80h Track), 6) Lightning Web Components (40/80h), and 7) Salesforce Agentforce (20h).

Learners can enroll in the full end-to-end 7-track curriculum for complete mastery from administration to Agentforce AI, or choose dedicated tracks tailored to specific role objectives such as Salesforce Administrator or Platform Developer I.

The curriculum directly aligns with the exam objectives for Salesforce Certified Administrator (ADM-201), Salesforce Certified Platform App Builder, Salesforce Certified Platform Developer I (PDI), and Salesforce AI Associate / Agentforce certifications.

All sessions are delivered 100% live online by veteran Salesforce Certified Technical Architects and Consultants, featuring interactive mentor instruction, hands-on org configuration drills, live code reviews, and enterprise sandbox labs.

Yes. Every track includes real-time laboratory exercises performed in dedicated Salesforce Developer Edition environments, culminating in portfolio-grade enterprise capstone projects across Sales Cloud, Service Cloud, Apex triggers, modern LWC UI, and Agentforce autonomous workflows.

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