LLM Application Engineering: Build AI-Powered Tools — PickAClass
⏱ 2h 36m 📚 26 lessons 🎧 Audio version

LLM Application Engineering: Build AI-Powered Tools

Gain the foundational knowledge and practical skills to design, develop, and deploy functional applications powered by Large Language Models.

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About this course

The world of artificial intelligence is rapidly evolving, and Large Language Models (LLMs) are at the forefront of this transformation. Do you want to build innovative applications that harness their power, even if you're new to AI? This course provides a clear, step-by-step path to understanding and applying LLMs in real-world application development. You will emerge with the ability to conceptualize, build, and refine your own AI-driven solutions, transforming ideas into practical tools. What you'll learn: * Understand the core concepts, architecture, and capabilities of Large Language Models. * Learn to design effective prompts and prompt engineering strategies for various LLM applications. * Apply techniques for integrating LLMs into programmatic solutions using common development patterns. * Build foundational LLM applications, from intelligent chatbots to content generation tools. * Practice evaluating and refining LLM responses to enhance application performance and reliability. * Explore modern patterns like Retrieval-Augmented Generation (RAG) to build more knowledgeable LLM applications. * Configure basic deployment considerations for making your LLM-powered services accessible. The course begins with essential terminology and the underlying principles of Large Language Models, progressing through practical application design and implementation using written code examples. It culminates in exploring advanced integration patterns and basic deployment strategies. This course is for absolute beginners interested in developing applications with Large Language Models, with no prior experience in AI or machine learning required. Start your journey into LLM application engineering and development today.

What you'll get

  • 📜 Certificate of completion
    Add it to your LinkedIn profile
  • 💬 Personal AI tutor
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  • 🎧 Audio version included
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  • ♾️ Lifetime access
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  • 📱 Phone or computer
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  • 💸 14-day refund
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  • Short & focused
    2h 36m of practical content

Certificate of completion

Every course you complete on PickAClass issues a credential like this — original, with its own code, verifiable by URL, and detailed about what was actually demonstrated.

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PickAClass
Skills profile · verifiable
Document
Certificate of Mastery
This certifies that
Name Surname
has successfully demonstrated mastery of
LLM Application Engineering: Build AI-Powered Tools
Skills demonstrated
Behavioral pattern analysis
Foundational
1.2 hrs
Decision-architecture frameworks
Proficient
1.4 hrs
A/B test design
Proficient
1.7 hrs
Behavioral copywriting
Advanced
1.9 hrs
P
PickAClass — Name Surname
LLM Application Engineering: Build AI-Powered Tools
Page 2 of 2
Performance detail
Coursework summary
Lessons completed 14 / 14
Practice questions 26 / 28
Assignments submitted 4 (avg 4.5 / 5)
Capstone project Reviewed — 4.6 / 5
Total practice 6.2 hrs
Performance benchmark
Cohort rank Top 12% of 1,625
Time to completion 11 days (median: 22)
Mastery score 91 / 100
Practice-question score 94%
Skill verification Verified Skill Path
Verify this credential
pickaclass.com/certificates/PCC-2026-X4F7-AP19
Issued under the academic standards of PickAClass. Skill levels reflect assessed performance against the course's competency rubric. This is an original credential of this platform.

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What do I need to take this course? +

Just a phone or computer with internet. No installs, no special hardware.

How do I pay? +

By card via Stripe. We don’t store card details — Stripe handles them securely.

Can I get a refund? +

Yes — full refund within 14 days, no questions asked.

How long will I have access? +

Forever. Once you purchase, the course is yours to revisit anytime.

Will I get a certificate? +

Yes. On completion you'll receive a certificate you can add to your LinkedIn profile.

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