Overview
The Agentic AI Development course provides a practical introduction to building intelligent AI systems that can reason, plan, make decisions, and perform multi-step tasks autonomously. Learners will explore how AI agents extend beyond traditional Generative AI by interacting with tools, accessing data, executing workflows, and achieving defined objectives with minimal human intervention.
This hands-on course covers AI agent architecture, orchestration, memory, tool usage, automation, and real-world implementation concepts. Participants will gain foundational knowledge to design, build, and manage AI-powered solutions for business operations, productivity, customer experiences, and intelligent automation.
By the end of the course, learners will understand how to create AI agents capable of handling complex workflows and delivering scalable, intelligent outcomes.
- Software Developers & Engineers interested in building intelligent AI-powered applications and automation solutions
- AI & Machine Learning Professionals seeking to expand into autonomous AI systems and agent development
- IT Professionals & Solution Architects looking to integrate Agentic AI into enterprise environments
- Business Analysts & Automation Teams aiming to optimize workflows through intelligent automation
- Product Managers & Innovation Leaders exploring AI-driven product and service development
- Entrepreneurs & Consultants identifying business opportunities using Agentic AI technologies
- Data Professionals interested in AI-enabled decision-making and workflow orchestration
- Students & Emerging Technology Learners building future-ready AI and automation skills
- Technical Teams adopting AI agents for operational efficiency and digital transformation
- Professionals interested in next-generation AI applications and autonomous systems
- Introduction to Agentic AI and autonomous AI systems
- Evolution from Generative AI to AI Agents
- Understanding AI agent architecture and lifecycle
- Goals, planning, reasoning, and decision-making in AI agents
- Large Language Models (LLMs) and their role in Agentic AI
- Prompting and instruction design for intelligent agents
- Memory concepts including short-term and long-term context management
- Context retention and state management techniques
- Tool usage and external system integration concepts
- API interaction and workflow orchestration fundamentals
- Multi-step task execution and automation workflows
- Multi-agent systems and agent collaboration models
- Designing and building reliable agentic applications
- Monitoring, evaluation, and optimization of AI agents
- Security, governance, and responsible AI practices
- Human-in-the-loop and oversight concepts
- Business use cases and intelligent automation scenarios
- Productivity, customer service, and enterprise AI applications
- Future trends and emerging opportunities in Agentic AI
- Multiple-choice questions
- Scenario-based prompt design questions
- Practical prompt-writing exercises
- Output evaluation and improvement tasks
- Recommended passing score as defined by training provider
Policies
Training Options
Corporate Training
We work with customers to provide tailor made training solutions, onsite and off site delivery with customized content to cover areas of key importance. Please contact for private batches or any other requirements.