Artificial Intelligence: Agentic AI, Gen AI, Prompt Engineering

Build a strong foundation in modern artificial intelligence, including generative AI, agentic AI, and prompt engineering. This course covers AI fundamentals, large language models, AI safety, governance, and practical AI applications for today's workplace.

$29.99
  • 2.5 hours
  • English
  • Certificate
  • Online

Course Overview

Artificial Intelligence — Agentic AI, Generative AI, Prompt Engineering is a professional training course designed for learners and organizations seeking a clear understanding of modern AI systems and their practical relevance in today’s digital environment. As artificial intelligence continues to influence business operations, content creation, automation, decision support, product development, and workplace productivity, professionals need to understand how AI technologies work, how they are applied, and how they should be governed responsibly.

This course covers core AI foundations, including AI basics, machine learning models, neural networks, and transformers. It then introduces generative AI, large language models, diffusion models, and multimodal systems before moving into agentic AI systems, including AI agents, agent design, planning loops, and tool use. Participants will also study prompt engineering concepts, including prompt basics, prompt design, prompt systems, and prompt evaluation.

The course concludes with alignment, safety, and governance topics, including AI alignment, RLHF and GRPO, AI safety, AI law, and AI ethics.

Course Includes

Participants will receive structured learning aligned with the course curriculum and focused on modern artificial intelligence concepts, including:

  • Curriculum-based professional training

  • Artificial intelligence foundation knowledge

  • Generative AI and LLM concepts

  • Agentic AI systems understanding

  • Prompt engineering principles

  • AI alignment, safety, and governance coverage

  • Certificate upon successful completion

What You'll Learn

  • Understand the foundations of artificial intelligence, machine learning models, neural networks, and transformers.
  • Identify the core concepts behind generative AI, large language models, diffusion models, and multimodal AI systems.
  • Analyze how agentic AI systems use agents, planning loops, tool use, and structured design approaches.
  • Apply prompt engineering principles to improve prompt design, prompt systems, and AI interaction quality.
  • Evaluate prompts through structured prompt evaluation concepts and output quality considerations.
  • Assess the role of AI alignment, RLHF, GRPO, and safety practices in responsible AI development.
  • Identify key governance, AI law, and ethics considerations connected to modern AI systems.
  • Improve professional understanding of how artificial intelligence technologies support workplace and organizational use.

Requirements

No specific prior experience or qualifications are required to participate in this course. A general interest in artificial intelligence, generative AI, prompt engineering, digital transformation, automation, technology governance, or responsible AI may be helpful, but it is not mandatory.

Why Choose Us

This Artificial Intelligence course is designed to provide structured, relevant, and professionally useful knowledge for learners working in AI-influenced environments.

  • Curriculum aligned with modern AI, generative AI, agentic AI, prompt engineering, safety, and governance topics
  • Clear coverage of AI foundations, machine learning models, neural networks, transformers, and LLMs
  • Professional training suitable for individual learners and organizational teams
  • Balanced focus on technical concepts, workplace relevance, and responsible AI considerations
  • Learner-focused structure designed for clear understanding across technical and non-technical audiences
  • Workplace-applicable knowledge for professionals involved in AI adoption, automation, governance, and innovation
  • Concise learning pathway without exaggerated claims, unsupported promises, or unnecessary complexity

Career path

This course supports professional development across roles and responsibilities that require awareness of artificial intelligence, generative AI, agentic AI, prompt engineering, and responsible AI governance.

Relevant career areas and responsibilities include:

  • AI Strategy and Digital Transformation
  • Generative AI Adoption Support
  • Prompt Engineering and AI Workflow Design
  • AI Product and Innovation Support
  • Business Automation and Process Improvement
  • AI Governance and Ethics Support
  • Technology Risk and AI Safety Awareness
  • Data, Analytics, and AI-Enabled Decision Support

Certification

Certification

A certificate is issued upon successful completion of the course. This certificate demonstrates that the participant has completed structured professional training in Artificial Intelligence — Agentic AI, Generative AI, Prompt Engineering and has developed knowledge of the main topics covered in the curriculum.

Course Curriculum

5 sections20 lectures2.5 hours
▶ 1.1 AI Basics
▶ 1.2 ML Models
▶ 1.3 Neural Nets
▶ 1.4 Transformers
▶ 2.1 Gen AI
▶ 2.2 LLMs
▶ 2.3 Diffusion
▶ 2.4 Multimodal
▶ 3.1 AI Agents
▶ 3.2 Agent Design
▶ 3.3 Planning Loops
▶ 3.4 Tool Use
▶ 4.1 Prompt Basics
▶ 4.2 Prompt Design
▶ 4.3 Prompt Systems
▶ 4.4 Prompt Eval
▶ 5.1 AI Alignment
▶ 5.2 RLHF & GRPO
▶ 5.3 AI Safety
▶ 5.4 AI Law & Ethics