AI Prompt Engineering Skills for Business

Welcome to the Forge of Agents AI Skills Academy!

Unlock the future of work by mastering artificial intelligence (AI) agent development and human-AI workforce orchestration. This academy is designed to transform you from an AI enthusiast into a proficient “Agent Forger,” capable of building, managing, and deploying intelligent AI agents and collaborative AI teams to solve real-world business challenges.

Our aim is to equip you with the practical skills needed to drive AI transformation within your organization, focusing on augmentation rather than replacement.

This course is ideal for professionals, entrepreneurs, and team leaders across all industries who seek to leverage AI effectively. Whether you’re new to AI or looking to deepen your expertise in advanced agentic systems, the academy provides a clear pathway.

• You will develop expertise in: AI Agent Design: Crafting specialized AI assistants with unique personas, purposes, and knowledge bases. Prompt Engineering: Mastering the art of instructing AI to achieve desired behaviors and outcomes.
• Knowledge Base Management: Integrating diverse data sources (documents, websites) to create expert AI agents grounded in facts.
• Multi-Agent Systems: Orchestrating multiple AI agents into collaborative teams with defined roles and workflows. Human-AI Collaboration: Designing seamless handoffs and oversight mechanisms between human teams and AI.
• Responsible AI: Implementing guardrails for ethical behavior, compliance, and quality assurance. Course Syllabus & Deep Tech Elements: The academy features a progressive syllabus delivered through self-paced Learning Paths, categorized from Beginner to Advanced.

Our core deep tech focus is on Agentic AI and Multi-Agent Systems. You’ll explore how Large Language Models (LLMs) power intelligent agents, learn Retrieval Augmented Generation (RAG) for factual grounding, and build complex decision-making workflows. Main topics include: Forging individual agents (deep tech: agent architecture, prompt design). Building knowledge bases (deep tech: RAG, data integration). Designing and orchestrating AI teams (deep tech: multi-agent coordination, workflow logic).