Agentic AI Engineer Course & Curriculum

NCPL's hands-on Agentic AI Engineer training — full curriculum, real projects, certification prep, and job placement support. We train, mentor and place you.

Module 1: AI & Generative AI Fundamentals

10 hours: Build solid foundation in AI and understand generative models

  • History and evolution of AI
  • Supervised vs unsupervised learning
  • Neural networks and deep learning
  • Generative AI architecture
  • Ethical considerations
  • Responsible AI practices
  • Python for AI development

Module 2: LLMs & Prompt Engineering

12 hours: Master large language models and advanced prompting

  • Transformer architecture
  • Attention mechanisms
  • Model selection (GPT-4, Claude, Llama)
  • Fine-tuning techniques
  • Zero-shot and few-shot prompting
  • Chain-of-thought reasoning
  • Prompt optimization

Module 3: Agentic AI Development

18 hours: Build autonomous AI agents with planning and reasoning

  • Agent architecture patterns
  • Planning and reasoning systems
  • Memory systems for agents
  • Tool use and function calling
  • Multi-agent systems
  • LangChain and CrewAI
  • Agent evaluation

Module 4: Production & Deployment

10 hours: Deploy agents to production with workflow orchestration

  • Workflow orchestration
  • Cloud deployment strategies
  • Monitoring and observability
  • Error handling
  • Security best practices
  • Cost optimization
  • Production testing