Description
Course Name: Diploma in Agentic AI & Business Automation
Course Id: DAAIBA/Q1001
Eligibility: 10+2(higher Secondary) or equivalent.
Objective: The Diploma in Agentic AI & Business Automation aims to prepare learners for the next generation of AI-driven automation, where intelligent agents can independently perform tasks, make decisions, and collaborate with humans to optimize business processes.
Duration: Six Months.
How to Enroll and Get Certified in Your Chosen Course:
Step 1: Choose the course you wish to get certified in.
Step 2: Click on the “Enroll Now” button.
Step 3: Proceed with the enrollment process.
Step 4: Enter your billing details and continue to course fee payment.
Step 5: You will be redirected to the payment gateway. Pay the course and exam fee using one of the following methods:
Debit/Credit Card, Wallet, Paytm, Net Banking, UPI, or Google Pay.
Step 6: After successful payment, you will receive your study material login ID and password via email within 48 hours of fee payment.
Step 7: Once you complete the course, take the online examination.
Step 8: Upon passing the examination, you will receive:
• A soft copy (scanned) of your certificate via email within 7 days of examination.
• A hard copy (original with official seal and signature) sent to your address within 45 day of declaration of result.
Step 9: After certification, you will be offered job opportunities aligned with your area of interest.
Online Examination Detail:
Duration- 120 minutes.
No. of Questions- 60. (Multiple Choice Questions).
10 Questions from each module, each carry 10 marks.
Maximum Marks- 600, Passing Marks- 40%.
There is no negative marking in this module.
| How Students will be Graded: | ||
| S.No. | Marks | Grade |
| 1 | 91-100 | O (Outstanding) |
| 2 | 81-90 | A+ (Excellent) |
| 3 | 71-80 | A (Very Good) |
| 4 | 61-70 | B (Good) |
| 5 | 51-60 | C (Average) |
| 6 | 41-50 | P (Pass) |
| 7 | 0-40 | F (Fail) |
Key Benefits of Certification- Earning a professional certification not only validates your skills but also enhances your employability. Here are the major benefits you gain:
Practical, Job-Ready Skills – Our certifications are designed to equip you with real-world, hands-on skills that match current industry demands — helping you become employment-ready from day one.
Lifetime Validity – Your certification is valid for a lifetime — no renewals or expirations. It serves as a permanent proof of your skills and training.
Lifetime Certificate Verification – Employers and institutions can verify your certification anytime through a secure and reliable verification system — adding credibility to your qualifications.
Industry-Aligned Certification –All certifications are developed in consultation with industry experts to ensure that what you learn is current, relevant, and aligned with market needs.
Preferred by Employers – Candidates from ISO-certified institutes are often prioritized by recruiters due to their exposure to standardized, high-quality training.
Free Job Assistance Based on Your Career Interests – Receive personalized job assistance and career guidance in your preferred domain, helping you land the right role faster.
Syllabus:-
Module 1: Fundamentals of Generative AI and Autonomous Agents: Evolution from Predictive to Agentic AI, Core Components of Autonomous Agents, Architecture of Large Language Models, Differences Between Chatbots and AI Agents, The Concept of Agentic Reasoning and Planning, Overview of Business Process Automation, Identifying Automation Opportunities in Enterprises, Economic Impact and ROI of Agentic Automation, Ethical Considerations in Autonomous AI, Introduction to the Agentic Tech Stack.
Module 2: Agent Architectures and Orchestration Frameworks: Anatomy of an AI Agent, Prompt Engineering for Agent Behavior Control, Short-Term vs Long-Term Memory Mechanisms, Tool Calling and API Integration Capabilities, Introduction to LangChain and LangGraph, Building Agents with LlamaIndex and Semantic Search, Retrieval-Augmented Generation (RAG) Fundamentals, The ReAct (Reasoning and Acting) Framework, Designing Multi-Agent Systems, Exploring Open-Source vs Proprietary Agent Frameworks.
Module 3: Advanced Automation and Workflow Integration: Robotic Process Automation vs Intelligent Automation, Trigger-Action Workflow Mapping, Integrating Agents with Zapier and n8n, Web Scraping and Autonomous Data Extraction, Building Custom Connectors via REST APIs, Human-in-the-Loop (HITL) Intervention Workflows, Autonomous Email Parsing and Draft Generation, Document Processing and OCR with LLM Agents, Database Querying via Text-to-SQL Agents, Error Handling and Fallback Mechanisms in Workflows.
Module 4: Functional Business Use Cases and Development: Customer Support Automation with Autonomous Copilots, Sales Outreach and Lead Qualification Agents, Marketing Automation for Dynamic Content Generation, Financial Data Analysis and Reporting Agents, HR Automation for Resume Screening and Onboarding, Supply Chain Logistics and Predictive Reordering Agents, IT Helpdesk and Infrastructure Ticketing Automation, Legal Document Review and Contract Summarization, E-commerce Personalization and Dynamic Pricing Agents, Project Management and Task Delegation Agents.
Module 5: Security, Governance and Risk Management: Prompt Injection and Malicious Output Vulnerabilities, Data Privacy Compliance in LLM Agents, Managing AI Hallucinations in High-Stakes Environments, Access Control and Role-Based Authorization for Agents, Auditing Agent Actions and Traceability Logs, Secure Storage of API Keys and Secrets, Bias Mitigation and Algorithmic Fairness, Creating Guardrails and Action Boundaries, Establishing an Enterprise AI Governance Board, Legal Liabilities of Autonomous AI Decisions.
Module 6: Deployment, Scaling and Future Strategy: Containerization and Cloud Deployment of Agentic Systems, Latency Optimization and Cost Management of API Calls, CI/CD Pipelines for Machine Learning Models, Continuous Learning and Agent Feedback Loops, Measuring Agent Performance and Task Success Rates, Change Management and Upskilling Human Employees, Pitching AI Automation Strategies to Executive Boards, The Pathway from Narrow Agents to Artificial General Intelligence, Exploring Edge AI and Decentralized Autonomous Agents, Final Capstone Project and Working Agent Prototype Demonstration.
