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AI Agent Engineering with LLMs Fundamentals Training By Tonex

AI Lawfare and Autonomous Legal Systems (AILS) Certification Program by Tonex

Embark on a transformative journey with “AI Agent Engineering with LLMs Fundamentals Training” by Tonex. This course equips you with the core principles of designing and deploying intelligent AI agents powered by Large Language Models. Navigate the complexities of LLM integration and agent architecture. Cybersecurity professionals will gain critical insights into leveraging AI for threat analysis and response automation.

Audience: Software Engineers, Data Scientists, AI/ML Developers, Cybersecurity Professionals, IT Managers, and anyone interested in the intersection of AI agents and LLMs.

Learning Objectives:

  • Understand the fundamentals of LLM architecture and agent design.
  • Learn to integrate LLMs into practical AI agent applications.
  • Explore techniques for prompt engineering and agent interaction.
  • Develop skills in agent orchestration and workflow management.
  • Grasp the security implications of LLM-powered agents.
  • Apply acquired knowledge to real-world AI agent scenarios.

Course Modules:

Module 1: LLM Foundations

  • Introduction to LLMs
  • Transformer Architecture
  • Tokenization and Embeddings
  • Fine-tuning Techniques
  • LLM APIs and Access
  • Model Selection Criteria

Module 2: Agent Architecture

  • Agent Design Principles
  • Memory and State Management
  • Tool Integration
  • Planning and Reasoning
  • Action Execution
  • Agent Communication

Module 3: Prompt Engineering

  • Prompt Design Strategies
  • Contextual Prompting
  • Chain-of-Thought Techniques
  • Few-Shot Learning
  • Prompt Optimization
  • Error Handling

Module 4: Agent Orchestration

  • Workflow Management
  • Task Decomposition
  • Parallel Processing
  • Agent Coordination
  • Feedback Loops
  • Pipeline Development

Module 5: Security Considerations

  • Data Privacy and Security
  • Adversarial Attacks
  • Bias and Fairness
  • Access Control
  • Model Vulnerabilities
  • Security Best Practices

Module 6: Application Development

  • Use Case Analysis
  • Agent Implementation
  • Deployment Strategies
  • Performance Evaluation
  • Maintenance and Scaling
  • Future Trends

Elevate your expertise in AI agent engineering. Enroll now to harness the power of LLMs and shape the future of intelligent systems.

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