Generative AI and Agentic AI Training in USA

This course provides a deep understanding of Generative AI and Agentic AI, exploring their foundations, design principles, architectures, and real-world applications. It combines theory with practical hands-on training to help participants develop, deploy, and govern AI systems that can generate new content and act autonomously to achieve goals in enterprise and domain-specific contexts.

Welcome to the official Generative AI and Agentic AI Training certification program. This comprehensive training is designed to elevate your professional skills and provide you with practical, industry-relevant knowledge in in USA. As a globally recognized corporate training provider operating in 55+ countries, ProgNXT ensures that our curriculum meets the highest standards of excellence.

Whether you are looking to upskill your team or advance your personal career, our expert-led sessions will guide you through the core concepts of this domain. Upon successful completion of the 14 Hrs program, participants will receive a globally accepted certification, demonstrating their proficiency and readiness to tackle complex challenges in the field.

• Basic understanding of Artificial Intelligence and Machine Learning concepts

• Familiarity with Python programming

• Knowledge of APIs and cloud platforms (preferred but not mandatory)

• Interest in applied AI solutions across industries

• Generative AI model integration (LLMs, diffusion models, multimodal AI)

• Building autonomous AI agents (LangChain, AutoGen, ReAct frameworks)

• Prompt engineering and chain-of-thought orchestration

• AI system design and governance

• Domain-specific applications of Generative and Agentic AI

• AI deployment and monitoring on enterprise platforms

By the end of the course, participants will be able to:

• Understand the fundamentals of Generative AI (LLMs, image/video generation, multi-modal models)

• Explain the concept of Agentic AI and its difference from traditional AI systems

• Design and build Generative AI applications integrated with Agentic workflows

• Implement AI agents capable of reasoning, planning, and autonomous task execution

• Apply Generative and Agentic AI to real-world use cases (healthcare, finance, enterprise, customer experience)

• Evaluate risks, compliance, and ethical considerations in deploying these systems