Generative AI Agents

Cross-cutting
Digital Skills

IA Academy

Duration

40 hours

PRESENTATION

The Course on Generative AI Agents It’s your gateway to a world of ever-expanding innovation. Today, generative AI agents are revolutionizing sectors such as data analysis and process automation. With growing demand in the job market, acquiring skills in this field puts you at the forefront of technology. This online course offers you a comprehensive understanding of the large-scale language models and their application in conversational agents, as well as the design and development of generative agents for digital environments. In addition, you will address the Ethics and Safety, issues that are crucial to the responsible use of AI.

Objectives

– Understand the key concepts of generative AI agents. – Identify differences between generative models and intelligent agents. – Analyze current use cases and future trends in generative AI. – Evaluate large-scale language models and their practical applications. – Design effective prompts for generative agents. – Integrate AI agents into various digital environments. – Examine the ethical and social risks of autonomous agents.

Syllabus

TEACHING UNIT 1. INTRODUCTION TO GENERATIVE AI AGENTS Concept and definition of generative AI agents Historical evolution: from expert systems to autonomous agents Differences between generative models and intelligent agents Fundamental components of an AI agent Current use cases and future trends TEACHING UNIT 2. FUNDAMENTALS OF GENERATIVE AI Large-scale language models (LLMs) Generative Models: Text, Image, Audio, and Multimodal Model Training, Fine-Tuning, and Alignment Prompting and Generation Control Technical Limitations and Inherent Risks TEACHING UNIT 3. ARCHITECTURE OF AI AGENTS Internal structure of an agent (perception, reasoning, and action) Short- and long-term memory in agents Planning and decision-making Tools and use of external APIs Orchestration of workflows and execution cycles TEACHING UNIT 4. DESIGN AND DEVELOPMENT OF GENERATIVE AGENTS Defining Agent Objectives and Roles Designing Prompts and Instruction Systems Integrating Agents with Digital Environments State Management and Persistence Testing, validation, and iterative improvement LEARNING UNIT 5. AUTONOMOUS AND MULTI-AGENT SYSTEMS The Concept of Autonomy in AI Agents Multi-Agent Systems and Cooperation Communication Between Agents Conflict Resolution and Coordination Examples of Multi-Agent Frameworks and Platforms TEACHING UNIT 6. PRACTICAL APPLICATIONS OF GENERATIVE AI AGENTS Conversational agents and virtual assistants Agents for process automation Creative agents (content, design, programming) Agents for Data Analysis and Decision Making Case Studies in Different Sectors TEACHING UNIT 7. ETHICS, SECURITY, AND GOVERNANCE OF AI AGENTS Ethical and Social Risks of Autonomous Agents Biases, hallucinations, and behavior control Privacy and data protection Safety, alignment, and human oversight Regulatory frameworks and best practices LEARNING UNIT 8. THE FUTURE OF GENERATIVE AI AGENTS General-purpose agents vs. specialized agents Integration with robotics and physical environments Impact on work and education Current research and emerging trends Long-term technological and social challenges
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Are the Educa PHAROS courses eligible for credit?

Many courses can be credited toward the master's programs at Structuralia.

Facts about our area

+ 1.483

Hours

+88.999

Minutes

264

Courses

Educa PHAROS is a next-generation training model that places a company’s human capital at the forefront. Through a platform that adapts to each company’s corporate identity and offers a total of more than 900 courses, it provides tailored training for each organization. The unlimited flat-rate plan provides each company with the number of courses that best suits its needs, as well as the ability to determine which employees will have access.
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