AI Agents for SaaS

Master the technical skills to build and deploy autonomous agents that automate complex workflows and drive significant product value within your existing software ecosystem. * **Architect autonomous agents** for multi-step SaaS workflow automation * **Design tool-calling interfaces** to connect agents with existing APIs * **Implement RAG patterns** for context-aware product experiences * **Optimize agentic loops** to ensure reliable production performance

8 sections ยท 36 lessons

Course outline

Language Models Basics

  1. Inside ChatGPT
  2. How Prompts Work
  3. Probability & Randomness
  4. Temperature
  5. Language Models Basics

How Models Learn

  1. Training Data Scale
  2. Generalization
  3. Parameters
  4. Tuning the Model
  5. How Models Learn

Training in Practice

  1. The Training Process
  2. Developing Understanding
  3. Scale of Computation
  4. Hardware Reality

Making AI Helpful

  1. Pre-training Basics
  2. Supervised Fine-Tuning
  3. Reinforcement Learning
  4. Complete Training Pipeline
  5. GPU Technology
  6. The Parallelization Problem

Transformer Innovation

  1. Introduction to Transformers
  2. Words to Numbers
  3. Understanding Embeddings
  4. Introduction to Attention
  5. How Attention Works

Connecting the Pieces

  1. Feed-Forward Networks
  2. Multi-Layer Basics
  3. From Vectors to Predictions
  4. Complete Pipeline

AI Strengths & Limitations

  1. What LLMs Excel At
  2. Next to Master
  3. Core LLM Limitations
  4. Structural Constraints

Practical AI Use

  1. Prompt Engineering Fundamentals
  2. Advanced Prompting Techniques
  3. AI Literacy: Engaging & Creating
  4. AI Literacy: Managing & Designing
  5. Your AI-Augmented Future

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