Practical Prompt Engineering.

Practical Prompt Engineering.

Master LLMs. Build real value.

Master LLMs. Build real value.

20 hours

Live Sessions

Live Sessions

9-11am Pacific

Saturday & Sundays

Saturday & Sundays

4 weeks

Aug 16 - Sep 13

Aug 16 - Sep 13

Live online sessions from expert trainers.

Live online sessions from expert trainers.

Classes are limited to ensure real interaction.

Classes are limited to ensure real interaction.

An intensive, hands-on course designed to transform how you work with large language models (LLMs). Whether you’re building AI products, enhancing workflows, or just getting started with applied AI, this course equips you with the most powerful techniques in the prompt engineering toolkit—used by cutting-edge startups and AI research labs alike.

This course bridges the gap between theoretical understanding and real-world implementation. You’ll go beyond just prompting ChatGPT and dive into advanced strategies like Chain-of-Thought, Retrieval-Augmented Generation (RAG), ReAct agents, prompt injection defense, and automatic prompt generation.

Topics covered

Topics covered

• Taxonomy of Prompting Techniques

• Tactics to Improve Reliability

• Structuring Inputs and LLM Outputs

• Zero-shot/Few-shot/Many-Shot Prompting

• Chain of Thought Prompting

• Self-Reflection & Self-Consistency

• Meta Prompting & Automatic Prompt Engineering

• ReAcT Prompting Framework

• Retrieval Augmented Generation (RAG)

• Fine-Tuning LLMs

• Function Calling & Tool Usage

• LLM-Powered Agents (Agentic Workflows)

• LLM Evaluation & Judge LLMs

• AI Safety & Moderation Tools

• Adversarial Prompting (Jailbreaking and Prompt Injections)

• Common Real-World Use Cases of LLMs

• Overview of LLM Tools

Get Started With Training.

Get Started With Training.

Reserve your spot for the Aug 16 session. Limited seats available.

Framer is free and available on macOS and Windows.

Reserve your spot for the Aug 16 session. Limited seats available.

Join for $2200

Live sessions every weekend.

Live sessions every weekend.

Live sessions every weekend.

Interact directly with instructors in small groups. Saturday and Sunday, 2 hours per day, 9–11 am Pacific.

Meet your trainers.

Meet your trainers.

Meet your trainers.

Founders of StaffAgent.AI with hands-on, real-world experience building a voice agent platform

Who is this course for?

The course is designed for engineers, technologists, and professionals seeking real-world, job-ready LLM skills—no deep ML background required.

What are the prerequisites?

Basic familiarity with programming and a keen interest in AI are recommended, but no prior experience with LLMs is necessary.

What will I achieve by the end?

You’ll gain hands-on mastery in advanced prompt engineering, be able to design robust workflows, and confidently apply LLM strategies across real use cases.

Who is this course for?

The course is designed for engineers, technologists, and professionals seeking real-world, job-ready LLM skills—no deep ML background required.

What are the prerequisites?

Basic familiarity with programming and a keen interest in AI are recommended, but no prior experience with LLMs is necessary.

What will I achieve by the end?

You’ll gain hands-on mastery in advanced prompt engineering, be able to design robust workflows, and confidently apply LLM strategies across real use cases.

Who is this course for?

The course is designed for engineers, technologists, and professionals seeking real-world, job-ready LLM skills—no deep ML background required.

What are the prerequisites?

Basic familiarity with programming and a keen interest in AI are recommended, but no prior experience with LLMs is necessary.

What will I achieve by the end?

You’ll gain hands-on mastery in advanced prompt engineering, be able to design robust workflows, and confidently apply LLM strategies across real use cases.

Ready to level up?

Ready to level up?

Secure your spot for $2200

Secure your spot for $2200

Contact Arvind Ramasamy +1 (623) 523-2092

Contact Arvind Ramasamy +1 (623) 523-2092

Contact Arvind Ramasamy +1 (623) 523-2092

Join the course