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Curriculum Designed by Experts
Agentic AI Foundations Corporate Training by Multisoft Virtual Academy is designed to help organizations understand and implement next-generation AI agents effectively. This comprehensive program introduces the core concepts of Agentic AI, including autonomous decision-making, AI orchestration and intelligent automation. Participants will gain practical exposure to real-world use cases, tools and strategies that improve operational efficiency and innovation. Led by industry experts, the training focuses on business-ready skills that teams can apply immediately. Whether your goal is digital transformation or AI adoption, this course equips your workforce with the knowledge and confidence needed to leverage Agentic AI for measurable business growth.
Agentic AI Foundations Training is a professional program that teaches the principles and practices of building autonomous AI systems. It focuses on how AI agents perceive their environment, make decisions, use tools, and execute tasks independently to achieve goals. The training covers agent architecture, reasoning, memory, planning, and multi-agent collaboration. Learners gain hands-on experience creating intelligent, self-directed AI solutions for real-world business and technology applications.
- Evolution of AI: From rule-based systems to autonomous agents
- What is Agentic AI? Concepts and key characteristics
- Differences between traditional AI and agentic AI
- Use cases and industry applications
- Overview of agent-based architectures
- Perception, environment, and state modeling
- Goals, rewards, and decision-making
- Action selection and execution
- Agent memory and knowledge representation
- Feedback and learning loops
- Task decomposition and goal planning
- Rule-based vs learning-based reasoning
- Chain-of-thought and planning strategies
- Handling uncertainty and dynamic environments
- Evaluating and optimizing agent decisions
- Single-agent vs multi-agent systems
- Overview of modern agent frameworks
- Orchestration and control layers
- Tool calling and API integration
- Agent lifecycle management
- Communication between agents
- Role-based and task-based agents
- Coordination and conflict resolution
- Swarm and cooperative intelligence
- Real-world multi-agent use cases
- Short-term vs long-term memory
- Vector databases and retrieval systems
- Context handling in AI agents
- Knowledge grounding and accuracy
- Preventing hallucinations and drift
- Designing agent workflows
- Automating business processes with agents
- Integrating external tools and data
- Testing and debugging AI agents
- Deployment best practices
- Responsible AI and safety considerations
- Data privacy and compliance
- Bias, transparency, and explainability
- Risk management in autonomous systems
- Governance models for AI agents
- Customer service and support agents
- AI-powered operations and analytics
- Digital assistants and copilots
- Industry-specific use cases
- ROI and performance measurement
- Emerging trends and technologies
- Scaling agentic AI in enterprises
- Integration with generative AI and robotics
- Career pathways in agentic AI
- Capstone project and next steps
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Outcome centric learning solutions to meet changing skill-demand of your organizationWide variety of trainings to suit business skill demands
360° learning solution with lifetime access to e-learning materials
Choose topics, schedule and even a subject matter expert
Skilled professionals with relevant industry experience
Customized trainings to understand specific project requirements
Check performance progress and identify areas for development
Free Agentic AI Foundations Corporate Training Assessment
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Agentic AI Foundations Corporate Training Certification
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