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Applied Agentic AI: Systems, Design & Impact

Build foundational and practical knowledge of intelligent AI agents and modern AI systems with this industry-focused program.

About This Course

The Applied Agentic AI: Systems, Design & Impact course is an industry-focused program designed to build foundational and practical knowledge of intelligent AI agents and modern AI systems. It covers key concepts such as generative AI, autonomous agents, multi-agent systems, prompt engineering, tool usage, and responsible AI practices. Learners gain hands-on experience in designing and deploying agentic workflows using real-world tools and frameworks, enabling AI systems to reason, plan, and take actions. The course emphasizes how organizations leverage agentic AI for automation, decision-making, and innovation across industries. Ideal for both technical and non-technical professionals, it prepares learners to understand, design, and confidently work with next-generation AI solutions, focusing on real-world impact, scalability, and ethical considerations.

The journey begins with core fundamentals, ensuring that every learner—whether a beginner or an experienced professional—builds a strong, confident foundation for success.

Learning Objectives

This course is built with clear objectives to help you gain both knowledge and practical skills, ensuring you can understand and apply what you learn with confidence.

  • Understand core Artificial Intelligence (AI), Machine Learning (ML), and Agentic AI concepts and terminology
  • Identify key components of agentic systems including LLMs, tools, memory, and orchestration frameworks
  • Gain knowledge of Generative AI, foundation models, and prompt engineering techniques
  • Understand how to design and build intelligent AI agents capable of reasoning and task execution
  • Explore multi-agent systems and real-world agent workflows for automation
  • Learn data handling, context management, and workflow design for AI-driven applications
  • Understand model evaluation, performance, and reliability in agentic systems
  • Apply responsible AI practices including ethics, bias, safety, and governance
  • Understand AI-driven automation, decision-making, and human-AI collaboration
  • Learn security, compliance, and privacy considerations in AI-powered systems
  • Explore real-world industry use cases of agentic AI across domains
  • Build and deploy end-to-end agentic AI projects with real-world impact

Requirements

  • No prior experience or specialized tools are required—everything will be covered step by step.
  • A laptop or desktop with a stable internet connection is recommended for hands-on practice.
  • Designed for learners of all levels, from beginners to working professionals.
Instructor Profile
AI & ML | Data Science & Cloud Integration

Mr. Mrityunjay Kumar

3+ Years of IT Experience. Expert in AI & ML, Data Science & Cloud Integration.

4.5/5
₹29,999

₹20,999

Course Information

Level
L1 (Beginner)
Lectures
88+
Duration
4 Months
Total Enrolled
195+ Learners
Last Update
May 5, 2026
Enroll Today

Overview

10 Modules
12 lessons
192 hr of live classes
1 Shift
1 file with presentations

Every successful learning journey begins with curiosity. This course is designed for learners who aim to go beyond the basics and achieve real-world, industry-level expertise.

Applied Course Advantage

Gain a competitive edge with immersive, hands-on learning in our programs. Master architecture, security, scalability & cost optimization.

Program Certificate
Course Certificate

AppliedTraining & Certification

  • Learn fundamentals and stay ahead in the industry
  • Build real-time scalable applications from scratch
  • Master core concepts, best practices & many more
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