Practical Prompt Engineering.
Master LLMs. Build real value.
Enroll Now $220020 hours
Live Sessions
9-11am Pacific
Saturday & Sundays
4 weeks
Aug 16 - Sep 13
Live online sessions from expert trainers.
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
- • 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.
Reserve your spot for the Aug 16 session. Limited seats available.
Join for $2200Live sessions every weekend.
Interact directly with instructors in small groups. Saturday and Sunday, 2 hours per day, 9–11 am Pacific.
Meet your trainers.
Founders of StaffAgent.AI with hands-on, real-world experience building a voice agent platform
Frequently Asked Questions
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?
Secure your spot for $2200
Join the courseContact Arvind Ramasamy +1 (623) 523-2092