Prompt Engineering for Everyone
English is the hottest programming language now. Learn to perform any knowledge work using prompt engineering and LLMs.
Become and effective knowledge worker
Effective use of prompt engineering can increase your productivity in day-to-day work. Master the art of prompt engineering using our no-code prompt engineering sandboxes.
Product managers/leaders, marketing managers, startup founders, software developers, consultants, legal professionals, doctors, journalists, compliance officers, business executives can attend.
Curriculum
The most comprehensive course on LangChain in industry taught by practitioners who build RAG-based LLM products. Theory and coding exercises
LLM Fundamentals
A gentle introduction to large language model fundamentals. Learn how prompt engineering can alter the behavior of a large language model.
Prompt Engineering Fundamentals
Learn about prompt settings, and parameters. Practice guiding LLMs using one-shot and few-shot learning.
Task and Modifiers
Practice prompt engineering for information extraction, summarization, generation, conversation, classification and reasoning.
Showing Examples
Learn to dynamically determine sequences of actions to perform, leveraging language models as a reasoning engine. Key concepts include AgentExecutor, Tools, and Toolkits
Prompting Techniques
Debug, test, evaluate, and monitor chains and intelligent agents created on any LLM framework. Learn to build stateful, multi-actor applications with LLMs.
Advanced Prompting
Learn to build conversational context and the application’s ability to provide coherent and relevant responses or actions based on past exchanges.
Prompt Reliability
Learn to dynamically determine sequences of actions to perform, leveraging language models as a reasoning engine. Key concepts include AgentExecutor, Tools, and Toolkits
Applications
Learn to build conversational context and the application’s ability to provide coherent and relevant responses or actions based on past exchanges.
Prompt Security
Debug, test, evaluate, and monitor chains and intelligent agents created on any LLM framework. Learn to build stateful, multi-actor applications with LLMs.
complete learning ecosystem
More than just a course
The course registration comes with access to our learning platform with hundreds of free tutorials, coding exercises, sandboxes, and other bonus learning material.
Watch tutorials or practice coding in browser-based Jupyter notebooks and inline code runners. We call our learning platform a complete learning ecosystem.
Every attendee gets a dedicated compute and storage pre-configured with relevant libraries and packages.
In addition to the in-class exercises, attendees receive Python and R code samples that have been pre-tested.
All software licenses, subscriptions, tools, and computing resources are included. For Guru package, LLM API keys are also included.
Get help from course staff, share ideas and discuss with your peers.
Dozens of other short courses and coding exercises are included in the registration.
Join the exclusive community of 11,000+ alumni globally. Dicuss, collaborate, and expand your network.
learn from experts
In collaboration with
We have partnered with some of the foremost names in industry to bring this course to you.
Customers reviews
Dojo
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Live Instuctor-led training
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Direct access to instructor
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25+ hands-on coding exercises
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Online coding sandboxes (during training)
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Access to private community of learners
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Restricted access to learning platform
Guru
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Everything in Dojo plus
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Verified certificate with 1 CEU
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100+ hands-on coding exercises
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Bonus learning material (one year access)
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Recording of live sessions (one year access)
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Online coding sandboxes (one year access)
Accredited Certificate
Earn a verified Certificate
Earn a verified certificate from The University of New Mexico Continuing Education:
- 1 Continuing Education Credit (CEU)
- Acceptable by employers for reimbursements
- Valid for professional licensing renewal
- Verifiable by The University of New Mexico Registrar’s office
- Add to LinkedIn and share with your network
Frequently Asked Questions
Are there any pre-requisites for this course?
Yes. You should be comfortable with Python programming. Basic understanding of large language models is strongly recommended.
What happens if I can’t make it to the live session?
No worries. Everything is always recorded, documented for you to work asynchronously, and made available for you to duplicate to your own Notion and GitHub accounts!
I work full-time, what is the time commitment?
4-6 hours per week
How long will I have access to the course?
You will receive a 12-month access to learning resources, allowing for continuous learning and review.
Do I need to install any software or get any subscriptions?
No. All software licenses, subscriptions, tools, and computing resources are included. For Guru package, LLM API keys are also included.
Will I get a certificate?
Yes. You will receive a verified certificate with 1 Continuing Education Credit. A transcript can be requested from the University of New Mexico registrar’s office.
What is the course duration?
The live instructor-led sessions are 8 hours long. There is a lot more learning material available before and after the live session.
Are the sessions interactive?
Yes. Instructors address all questions promptly during the session. The course TAs are also available to answer questions on the class Discord forum.
What is the refund policy?
You can request a full refund at least three business days before the start date of the training.
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Get In Touch
Please reach out to us for any questions about curriculum, registration, or requesting an invoice.