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Agent Force
Learn Ai

Agent Force

With Techpratham, you can learn how to use Master AgentForce to make AI agents that work with Salesforce to automate tasks, improve productivity, and make customers happier. Learn how to create, set up, and run smart business agents.

5/5(4,890 Reviews)

Level

Advanced

Duration

8 weeks

About
Training Plan
Course Curriculum
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Projects
Certificate
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Interview FAQ

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Capgemini Logo
Deloitte Logo
Genpact Logo
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Zoho Logo
Zelis Logo
Wipro Logo
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About Agent Force

This Techpratham course goes deep into AgentForce, Salesforce's AI-powered agentic platform. You'll learn how AgentForce uses Einstein Copilot and AI agents to make customer interactions and internal processes easier. The course covers how to design agents, how to connect them to Salesforce CRM, and how to automate business processes. By the end, you'll know how to create, modify, and use AI-powered agents that change how businesses work.

Training Plan

01
About trainer

About trainer

Working professional who is carrying more then 10 years of industry experience.

02
Decks & Updated Content

Decks & Updated Content

Access to updated presentation decks shared during live training sessions.

03
e-Book

e-Book

E-book provided by TechPratham. All rights reserved.

04
Assignments & MCQs

Assignments & MCQs

Module-wise assignments and MCQs provided for practice.

05
Video Recording

Video Recording

Daily Session would be recorded and shared to the candidate.

06
Projects

Projects

Live projects will be provided for hands-on practice.

07
Resume Building

Resume Building

Expert-guided resume building with industry-focused content support.

08
Interview Preparation

Interview Preparation

Comprehensive interview preparation with real-time scenario practice.

Agent Force Course Curriculum

Introduction to AgentForce

Learn the basics of Salesforce AgentForce and its role in AI-driven business automation.

What is AgentForce?
Agentic AI in Salesforce
Core Features & Capabilities
Role of Einstein Copilot
Benefits for Enterprises

Getting Started with AgentForce

Understand how to set up AgentForce, configure access, and explore its workspace for creating AI agents.

Setup & Configuration
User Access
Agent Workspace
Navigation Basics

Agent Design & Architecture

Explore the structure of AI agents, including intent recognition, workflows, and decision-making models.

Agent Architecture
Intent Recognition
Workflow Design
Knowledge Graphs

Building Agents with Agent Studio

Hands-on learning of building AI-powered agents using Salesforce’s Agent Studio with low-code/no-code tools.

Agent Studio Basics
Low-Code Development
Workflow Automation
Customization

Prompt Engineering for AgentForce

Learn how to design effective prompts to optimize agent responses and ensure accuracy across business scenarios.

Prompt Design
Context Management
Role-Based Prompts
Optimization Techniques

AgentForce with Einstein 1 & Data Cloud

Understand how AgentForce integrates with Salesforce Einstein 1 and Data Cloud for contextual and personalized AI outputs.

Einstein 1 Integration
Data Cloud Connectivity
Real-Time Data Usage
Personalization

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Additional Program Highlights

Learning Materials

Comprehensive study materials and resources

HD
Resume Writing

Professional resume building session

HD
Interview Preparation

Master your interview skills

HD
Live Project Demo

Real-world project demonstrations

HD

Upcoming Batches

Can't find a batch you were looking for?

Who Should enroll for this Agent Force Training Program

IT Professionals

Non-IT Career Switchers

Fresh Graduates

Job Roles After Completing Agent Force Training

Agentforce Developer

Agentforce Administrator

AI Prompt Engineer (Salesforce)

Key Projects

Agent Force

Tata Motors

Tata MotorsAutonomous EV Fleet & Dealership Assistant


Scenario: Tata Motors implemented Agentforce to autonomously manage real-time EV battery diagnostics, instantly schedule localized service center appointments, and safely handle recurring customer queries across India.

Live Work:

  • Triggers real-time low-health battery diagnostic alerts.
  • Schedules immediate repair slots at local workshops.
  • Supplies exact breakdown context to service mechanics.
Outcome: Reduced emergency vehicle downtime by 35% across metro cities.
Zomato

ZomatoHyper-Local Instant Dispute Resolution Agent


Scenario: Zomato utilized Agentforce to build background digital workers that read unstructured customer refunds, cross-verify real-time delivery GPS data, and issue instant merchant payouts without human delays.

Live Work:

  • Extracts context from raw customer chat complaints.
  • Audits delivery partner transit logs in Data Cloud.
  • Processes instant monetary refunds via backend APIs.
Outcome: Slashed active customer refund processing times from 4 hours down to 2 seconds.
Tata Consultancy Services

Tata Consultancy ServicesGlobal Employee IT Onboarding & Provisioning System


Scenario: TCS engineered an internal headless agent network to coordinate large-scale asset assignments, validate regional compliance checks, and trigger multi-cloud software access for thousands of tech hires.

Live Work:

  • Reviews incoming hire verification PDFs securely.
  • Auto-provisions software licenses via Apex triggers.
  • Hands off complex network errors to senior IT.
Outcome: Accelerated corporate employee onboarding efficiency by a massive 40% globally.
Infosys

InfosysAgentforce Developer Productivity & Code Optimizer


Scenario: Infosys deployed Agentforce for Developers within its global delivery units to auto-generate secure Apex actions, structure natural language prompts, and audit complex multi-cloud data models.

Live Work:

  • Automatically drafts complex, bug-free Apex classes.
  • Runs real-time GDPR data security compliance scans.
  • Builds custom agent Actions using low-code tools.
Outcome: Boosted developer software delivery speed by 30% across modern enterprise projects.
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Our Success Mantra

Commitment Icon
Commitment

  • Ensuring quality training every day

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Fulfillment

  • Meeting learning goals with confidence

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Accomplishment

  • Students achieving industry-ready expertise

Our Learner Voice

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Beyond Courses:

Additional Support We Provide

24/7 Support

LinkedIn Profile

Resume Writing

Alumni Sessions

Interview Preparation

Live Projects

How is AgentForce different from Microsoft Copilot or ChatGPT?

What is Agent Force?

How does Agent Force work?

What are the applications of Agent Force?

Do I need technical skills to work with Agent Force?

Can Agent Force be used in enterprises?

What is Salesforce Agentforce?

What is the Atlas Reasoning Engine?

Name the 4 fundamental pillars of Agentforce.

How does Agentforce differ from basic chatbots?

What is a "Topic" in Agentforce setup?

What is an "Action" in Agentforce context?

Agent Force Training Certification

Agentforce Training programs culminate in the prestigious Salesforce Certified Agentforce Specialist credential, an industry-recognized benchmark that validates your technical ability to architect, configure, and implement autonomous AI agents across enterprise ecosystems. By mastering complex competencies like the dynamic Atlas Reasoning Engine, the secure Einstein Trust Layer, and unified Data Cloud data streams, this rigorous curriculum establishes clear domain authority in the rapidly trending field of agentic AI. Earning this certification facilitates a highly profitable career transition from classic, low-code administration into advanced AI orchestration roles, equipping professionals with the verified skills required to eliminate conversational hallucinations, maximize autonomous operational efficiency, and cut steep corporate overhead.

Enrolling in an Agentforce Training course and preparing for its proctored, 105-minute official certification exam requires a structured timeline tailored specifically to an applicant's initial technical background. While veteran Salesforce administrators or platform developers typically master the core Trailhead curriculum within a fast-paced 2 to 4 weeks (roughly 20–30 hours), newcomers to autonomous CRM automation benefit from a broader 6 to 8-week preparation pipeline to thoroughly comprehend semantic vector search mechanics and sandbox testing center behaviors. The closed-book exam consists of 60 multiple-choice questions evaluated against a passing score threshold of 73% (requiring 44 correct answers). The assessment directly challenges your hands-on problem-solving logic across weighted domains like AI Agent Configuration (30%), Prompt Engineering (20%), and Data Cloud Integration (20%),.

Industry-Recognized Certification

Certificate
Agent Force

News Highlights

TechPratham Introduces Hire-Train-Deploy Model to Transform HR & ERP Talent in the AI Era
TechPratham Empowering Future Professionals Through AI-Focused HR & ERP Training

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TechPratham's Hire-Train-Deploy Approach Reshaping HR & ERP Careers in the AI-Driven Industry
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