Digital Workforce Services Plc, a global leader in business automation solutions, proudly announces the launch of agentacademy.ai, an online learning platform designed to meet the growing demand for AI literacy and expertise in enterprise AI agents.
AI agents have captured significant attention in the business world, being named the #1 Strategic technology trend of 2025 by Gartner and generating considerable interest across industries. However, while the potential of AI agents is immense, successful implementation requires more than enthusiasm—it demands practical skills, proven technologies, and a clear understanding of their capabilities and limitations.
agentacademy.ai delivers actionable, role-based training to turn market hype into real results. In the job market, there is an increasing need for managers, creators, and shepherds of AI agents. New roles are emerging that involve AI business analysts, AI training, agent building, and related skills, creating exciting opportunities for forward-thinking professionals.
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“AI agents are reshaping the future of work, but successful adoption requires more than technology—it demands skilled professionals who understand how to manage change and how to implement and scale these solutions effectively. Our mission is to increase enterprise AI literacy and provide organizations with the tools and knowledge to navigate this transformation confidently,” said Antti Karjalainen, CTO at Digital Workforce.
Key Highlights of agentacademy.ai
- Targeted Curriculum:
- Understanding Agentic AI: A free crash course for foundational knowledge.
- Agentic AI Business Analyst: Focused on identifying opportunities, managing projects, and maintaining AI solutions.
- Agentic AI Developer: Advanced training for building and deploying AI agents, launching later this spring.
- Flexible Learning: Online, self-paced courses tailored to busy professionals.
- Recognized Certifications: Shareable credentials to showcase expertise.
Humans will continue to play a crucial role in developing and using AI agents, especially in the near term. While AI agents are designed to take actions to achieve goals, they are not yet fully autonomous and require human input and oversight in key areas such as goal setting, planning, design, data management, execution oversight, and training.
SOURCE: BusinessWire