Artificial IntelligenceDuration: 2 Months
Agentic AI & AI Automation
4.97
Build autonomous AI agents, workflow automation, function-calling systems, and real business automations that can reason and act across multi-step tasks.
Career Outcomes & Job Roles:
🎯 AI Automation Engineer🎯 AI Agent Developer🎯 Automation Specialist🎯 AI Workflow Consultant
PRACTICAL-FIRST METHODOLOGY
Standard 90-Minute Daily Class Format
Learn → Code → Practice → Challenge → Build → Review → Improve
15 MINPhase 1
Concept / Shortcut
Concept, syntax, theory, formulas, shortcuts & approach.
45 MINPhase 2
Live Problem Solving
Instructor demonstrates while students follow along & write code.
15 MINPhase 3
Timed Challenge
Independently solve a short coding problem or assessment.
15 MINPhase 4
Q&A / Discussion
Discuss mistakes, answer questions & clarify concepts.
Comprehensive Syllabus
Course Structure & Curriculum
Explore each module in the complete training syllabus. Click or scroll on the roadmap to preview detailed topics, practical chapters, and key skills.
Module 01Part 1 of 5
Core SyllabusModule 1: AI Agents Fundamentals (Days 1–12)
Topics4 Chapters
StageFoundational
DeliveryPractical & Live
Detailed Module Topics & Sub-Topics (Click to expand):▼ View Sub-Topics▼ View Sub-Topics▼ View Sub-Topics▼ View Sub-Topics
1
AI agent architecture, planning, tools, memory and execution loops2
Prompt design for reasoning, tool selection and multi-step tasks3
LLM APIs, structured responses, and reliability patterns4
Project: Research Assist AgentModule 1 of 5
Interactive Learning JourneyScroll or click (1-5)
Selected: Module 11 of 5 Modules