Advanced Agentic AI Engineer (Job Guarantee) Program

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About Course

Build and deploy multi-agent AI systems using LLMs, RAG, and cloud technologies to automate complex real-world workflows.

The Agentic AI Advanced Program is designed to develop highly skilled professionals capable of building, orchestrating, and deploying advanced autonomous AI systems at scale. This program focuses on multi-agent collaboration, advanced prompting strategies, real-time AI workflows, and production-grade deployment practices, enabling learners to create intelligent systems that operate independently in dynamic environments.

Learners will gain hands-on experience with advanced agent frameworks, multi-modal retrieval systems, and scalable cloud-based deployments. The program emphasizes automation, system design, and performance optimization, ensuring learners understand how to move from experimental prototypes to enterprise-ready AI solutions.

By the end of this program, learners will be equipped to design and deploy complex agentic AI systems, build scalable automation pipelines, and work on high-impact AI applications across industries.

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What Will You Learn?

  • Build and orchestrate multi-agent AI systems
  • Use advanced prompting techniques such as ReAct, CoT, ToT, and self-reflection
  • Develop multi-modal RAG pipelines with text, image, and structured data
  • Design real-time, event-driven AI systems
  • Deploy AI agents at scale with monitoring and optimization
  • Implement secure and ethical AI systems
  • Integrate AI agents with cloud platforms (AWS, Azure, GCP)
  • Design advanced AI workflows and automation pipelines
  • Build production-ready agentic AI applications
  • Deliver real-world capstone projects with industry mentoring

Course Content

Module 1: Advanced Agentic AI Frameworks and Architectures
This module focuses on advanced frameworks and architectural patterns used to design scalable agentic systems. Learners will understand how to structure complex AI systems with multiple components, enabling efficient communication and task execution across agents.

Module 2: Multi-agent Collaboration Systems
This module introduces multi-agent systems where multiple AI agents collaborate to solve complex problems. Learners will explore frameworks such as CrewAI and AutoGen, understanding how agents coordinate, communicate, and share tasks in real-world scenarios.

Module 3: Advanced Prompting Techniques
This module focuses on advanced prompting strategies such as ReAct, Chain of Thought, Tree of Thought, and self-reflection. Learners will understand how to guide AI agents to reason, plan, and execute tasks effectively.

Module 4: Multi-modal RAG Pipelines
This module introduces advanced retrieval-augmented generation systems that integrate multiple data types, including text, images, and structured data. Learners will understand how to build intelligent systems capable of handling diverse inputs and delivering accurate outputs.

Module 5: Real-time Event-driven Agentic Systems
This module focuses on building real-time AI systems that respond to events and triggers. Learners will understand how to design systems that operate continuously and adapt dynamically to changing inputs.

Module 6: AI Deployment at Scale
This module provides in-depth knowledge of deploying agentic AI systems in production environments. Learners will understand monitoring, optimization, and guardrails required for maintaining system performance and reliability.

Module 7: Secure and Ethical AI Systems
This module focuses on ensuring security, privacy, and ethical considerations in AI systems. Learners will understand how to build safe and responsible AI applications while mitigating risks and biases.

Module 8: Cloud Integration for Agentic AI
This module introduces cloud platforms and their role in deploying agentic systems. Learners will understand how to integrate AI agents with cloud services and build scalable solutions.

Module 9: Advanced AI Workflow Design and Automation
This module focuses on designing complex AI workflows and automation pipelines. Learners will understand how to orchestrate tasks, optimize processes, and build efficient systems for real-world applications.

Module 10: Capstone Project – Deployable Agentic AI System
This module is a comprehensive project where learners build and deploy a fully functional agentic AI system for complex workflows. It includes end-to-end implementation, from design to deployment and monitoring.

Module 11: Industry Mentoring and Real-world Application
This module provides learners with practical exposure through mentoring and real-world assignments. Learners will gain insights into industry workflows and expectations, bridging the gap between learning and professional work.

Module 12: Job Readiness & Career Acceleration
This module includes all components from the professional program, focusing on resume building, portfolio development, LinkedIn optimization, and interview preparation to ensure career readiness.

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