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Agentic Automation Training

In today’s fast-evolving digital landscape, Agentic Automation is transforming the way businesses operate by enabling AI agents to act autonomously with minimal human intervention. These intelligent agents can plan, reason, and execute tasks independently across various systems, boosting productivity and driving innovation. With applications in customer service, IT operations, digital marketing, and supply chain optimization, Agentic Automation is the future of enterprise efficiency.

Tech giants like OpenAI, Google DeepMind, and Microsoft are actively developing agentic AI systems to automate complex workflows and decision-making processes. By mastering this emerging field, professionals can gain an edge in AI integration, workflow orchestration, and intelligent automation.

Learning Agentic Automation equips you with the skills to build, deploy, and manage autonomous AI agents—a critical need in sectors like finance, healthcare, and e-commerce. This training is ideal for AI developers, automation engineers, and tech leaders looking to stay ahead of the curve in the AI-powered enterprise revolution.
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History

The concept of Agentic Automation has its roots in multi-agent systems and autonomous computing, which emerged in the early 2000s. Initially theoretical, these systems aimed to simulate intelligent behavior in software agents. With the rise of machine learning, natural language processing, and LLMs (Large Language Models), the idea evolved into real-world applications.

By the mid-2010s, advancements in AI planning and workflow automation laid the groundwork for more robust agentic frameworks. Today, tools like AutoGPT, BabyAGI, and OpenAI Agents exemplify the potential of autonomous agents that can reason, learn, and perform tasks across digital platforms.

The evolution from rule-based bots to context-aware AI agents marks a significant milestone in enterprise automation history—shaping a new era of intelligent task execution.


Trends

Recent developments in Agentic Automation focus on enhancing AI agent autonomy, reliability, and multi-step task execution. The integration of LLMs with tools like LangChain, CrewAI, and AutoGen Studio enables agents to perform chained reasoning, collaborate with other agents, and adapt dynamically to changing tasks.

Enterprises are increasingly adopting multi-agent ecosystems where digital agents coordinate actions like project management, report generation, and customer interaction without direct oversight. There's also a surge in open-source agentic frameworks, giving developers powerful tools to build enterprise-grade solutions.

Trends indicate a growing demand for agent orchestration, goal-driven automation, and AI self-healing systems—key skills taught in Agentic Automation training. As AI continues to evolve, mastering this technology becomes essential for those shaping the future of intelligent business processes.

Ans - No, the published fee includes all applicable taxes.

Yes, course requiring practical include hands-on labs.
Yes, you can pay from the course page and flexi page.
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You can request a refund if you do not wish to enroll in the course.
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Yes, we do.
Yes, we also offer weekend classes.
Yes, Koenig follows a BYOL(Bring Your Own Laptop) policy.
It is recommended but not mandatory. Being acquainted with the basic course material will enable you and the trainer to move at a desired pace during classes. You can access courseware for most vendors.
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Buy-Now. Pay-Later option is available using credit card in USA and India only.
You will receive the digital certificate post training completion via learning enhancement tool after registration.
Yes you can.
Yes, we do. For details go to flexi
You can pay through debit/credit card or bank wire transfer.
Yes you can request your customer experience manager for the same.
Yes of course. 100% refund if training not upto your satisfaction.