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Simon Scrapes – Agentic Academy (August 2026)
Agentic Academy by Simon Scrapes is an AI-focused training program centered on understanding, building, and applying AI agents to practical workflows. The program explores how agentic systems can go beyond simple chatbot interactions by using AI to perform multi-step tasks, work with tools, process information, and automate parts of a broader workflow.
As AI systems become increasingly capable of taking actions rather than simply generating text, AI agents are becoming an important area for businesses, creators, developers, and automation specialists. Agentic Academy focuses on the practical application of these systems and how they can be incorporated into real-world processes.
Understand Agentic AI
The foundation of Agentic Academy is understanding how AI agents differ from traditional AI assistants.
A basic chatbot typically responds to individual prompts, while an agentic system can be designed to pursue a goal through multiple steps.
Understanding this difference helps users identify situations where agents can provide meaningful value.
Build AI Agent Workflows
AI agents can coordinate a series of tasks based on a defined objective.
The academy explores how workflows can be structured so an agent can reason through a task, determine what actions are needed, and work through those actions using available tools.
These workflows can be applied to research, content operations, business processes, and other repetitive activities.
Connect AI Agents With Tools
Agents become more useful when they can interact with external systems.
The program focuses on the concept of connecting AI agents with tools, applications, data sources, and other services.
These integrations allow agents to perform actions and retrieve information rather than being limited to producing text responses.
Automate Repetitive Processes
Many businesses have workflows that involve repetitive steps and manual coordination.
Agentic AI can potentially automate portions of these processes by allowing an AI system to handle defined tasks according to specific instructions.
Agentic Academy explores how to identify suitable automation opportunities and structure workflows around them.
Use Agents For Research
Research is another area where agentic systems can be useful.
An agent can potentially break a research objective into smaller tasks, gather information from multiple sources, organize findings, and produce a structured result.
The program explores how these capabilities can be incorporated into practical research workflows.
Create AI-Powered Business Systems
The value of AI agents often comes from how they are integrated into a larger business process.
Instead of building agents simply as demonstrations, users can explore applications involving lead generation, content production, data processing, customer operations, research, and internal workflows.
This business-oriented perspective helps connect technical AI capabilities with practical outcomes.
Develop Reliable Agent Systems
Agentic workflows require more consideration than simple prompt-based applications.
Agents can make incorrect decisions, misunderstand instructions, or use tools in unexpected ways.
Effective systems therefore require clear instructions, appropriate permissions, testing, monitoring, and human review where necessary.
Understanding these limitations is important when moving agents from experiments into real workflows.
Explore The Future Of AI Automation
Agentic AI is developing rapidly, with new models, frameworks, and tools appearing regularly.
Learning the underlying concepts can help users adapt as specific platforms and technologies change.
The academy focuses on practical agentic thinking that can be applied across different AI tools and business use cases.
Who This Program Is For
Agentic Academy is suitable for entrepreneurs, developers, automation specialists, marketers, AI enthusiasts, and professionals interested in using AI agents for practical tasks.
It can be especially useful for people who already use generative AI and want to move toward more automated, multi-step AI workflows.
Final Thoughts
Simon Scrapes’ Agentic Academy provides a framework for understanding and applying agentic AI through automated workflows, tool integrations, research, and business applications. By exploring how AI agents can plan and execute multi-step tasks, the program helps learners move beyond basic prompting toward building more capable AI-powered systems.
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Name of course: Simon Scrapes – Agentic Academy (August 2026)
Original Price: $77| Sale Price: $25
Delivery Method: Instant Download (Mega)