Agentic AI Training Courses

Foundations of Agentic AI Agent Design• Agent goals, roles, and responsibilities• Planning, reasoning, and execution loops• Managing context, memory, and stateDesigning Agent Behaviors and Actions• Tool usage and action selection• Decision-making and condition...

• AI and automation professionals
• Product managers and solution designers
• Business analysts and innovation teams
• Consultants and digital transformation leaders
• Professionals building AI agents

Participants will receive course materials, slides, reference materials, exercises and access to resources for further learning.

Certification: Participants who successfully complete the training and evaluation will receive an AcadNXT Certificate of Completion in Agentic AI Agent Development, validating their skills in building autonomous AI agents.

Prerequisites: • Completion of Agentic AI Essentials or equivalent knowledge• Basic understanding of AI concepts and workflows• No programming or advanced technical background required

Introduction to Agentic AI• What is agentic AI and why it matters• Differences between generative AI and agentic systems• Real-world examples of agentic AICore Components of Agentic AI Systems• Goals, planning, and reasoning• Memory, tools, and environment int...

• Business and technology professionals
• AI and automation teams
• Product managers and innovation leaders
• Consultants and solution designers
• Professionals exploring autonomous AI systems

Participants will receive course materials, slides, reference materials, exercises and access to resources for further learning.

Certification: Participants who successfully complete the training and evaluation will receive an AcadNXT Certificate of Completion in Agentic AI Essentials Training, recognizing their foundational expertise in autonomous AI systems.

Prerequisites: • Basic understanding of artificial intelligence concepts• Familiarity with workflows or problem-solving processes• No programming or advanced AI background required

Introduction to Agentic AI• What is agentic AI and how it works• Evolution from rule-based AI to autonomous agents• Key components of an AI agentCore Architecture of AI Agents• Perception, reasoning, planning, and action• Memory, tools, and environment interac...

• Business professionals and managers
• Technology and innovation teams
• AI and data enthusiasts
• Consultants and solution architects
• Students and professionals exploring agentic AI

Participants will receive course materials, slides, reference materials, exercises and access to resources for further learning.

Certification: Participants who successfully complete the training will receive an AcadNXT Certificate in Agentic AI Fundamentals Training, validating their understanding of AI agent architectures, use cases, and responsible implementation.

Prerequisites: • Basic awareness of artificial intelligence concepts• Familiarity with digital tools and workflows• No coding or advanced technical background required

Introduction to Agentic AI in Healthcare• What is agentic AI and why it matters in healthcare• Differences between traditional healthcare AI and agentic systems• Opportunities and limitations in clinical environmentsHealthcare Data, Context, and Constraints• S...

• Healthcare professionals and administrators
• Health IT and digital health teams
• Hospital operations and compliance teams
• Healthcare consultants and solution architects
• Professionals exploring AI in healthcare

Participants will receive course materials, slides, reference materials, exercises and access to resources for further learning.

Certification: Participants who successfully complete the training and evaluation will receive an AcadNXT Certificate of Completion in Agentic AI in Healthcare Training, recognizing their understanding of safe and responsible AI agent applications in healthcare.

Prerequisites: • Basic understanding of artificial intelligence concepts• Familiarity with healthcare workflows or systems• No programming or advanced AI background required

Introduction to Wren AI and Conversational Analytics• What is Wren AI and how it works• Evolution of natural language querying in analytics• Key benefits of conversational BI platformsWren AI Architecture and Data Connectivity• How Wren AI connects to database...

• Business analysts and data analysts
• Product managers and operations teams
• Decision-makers and business leaders
• Data teams exploring conversational analytics
• Professionals seeking no-code data querying solutions

Participants will receive course materials, slides, reference materials, exercises and access to resources for further learning.

Certification: Participants who successfully complete the training will receive an AcadNXT Certificate in Wren AI Fundamentals Training, validating their ability to use conversational AI for data analytics and business insights.

Prerequisites: • Basic understanding of data and business metrics• Familiarity with spreadsheets, dashboards, or BI tools• No prior SQL or advanced technical knowledge required