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AI PROMPT ENGINEERING

Dates: 23 SEP 2024 - 7 NOV 2024
Duration: 7 WEEKS
MONDAYS & THURSDAYS
5:30 PM PST / 8:30 PM EST
SHIKHAR KWATRA
AWS
Shikhar Kwatra
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AI PROMPT ENGINEERING
DATES:

23 SEP 2024 - 7 NOV 2024


DURATION:

7 WEEKS
MONDAYS & THURSDAYS
5:30 PM PST / 8:30 PM EST

Design human-like interactions with Python. Master prompts & build real-world solutions.

Shikhar Kwatra, AWS’s Sr. AI/ML Solutions Architect & World's Youngest Master Inventor, will teach you to code & customize AI experiences. 

THIS COURSE IS FOR YOU, IF...

  • YOU’RE A SOLUTIONS ARCHITECT BRIDGING THE GAP WITH GEN AI

     

    Struggling to translate business needs into technical specs? Stay ahead of the curve with GenAI! Learn how to leverage AI prompts to generate architectural designs and evaluate solutions, bridging the gap between business and technology.

  • YOU’RE A GENERATIVE AI SPECIALIST UNLOCKING DEEPER INSIGHTS

     

    Uncover hidden meaning in complex data and ensure responsible AI practices. This course equips you with debugging techniques and Python skills to optimize LLMs for specific tasks. Build ethical, scalable, and accurate AI solutions.

  • YOU’RE A DATA SCIENTIST MASTERING DATA WITH THE POWER OF GEN AI

     

    Become a data storytelling pro! Overcome data quality issues and transform insights into compelling narratives. Learn how GenAI can augment data, generate synthetic data, and suggest model optimization techniques.

  • YOU’RE A SOFTWARE ENGINEER STREAMLINING ML DEVELOPMENT & DEPLOYMENT

     

    Simplify complex model development and integration with GenAI. You’ll be trained with best practices for integrating models, hyperparameter tuning, and automated monitoring using Python. Ensure smooth deployment and scalability for your ML projects.

YOUR ASCENT STARTS HERE

AI prompt engineers make an average of $183K annually. 

With more companies using chatbots & salaries going up to $236K a year, now is your moment. 

Leverage tools like Amazon Bedrock & Amazon SageMaker as you absorb best practices, and put yourself in high demand. 

Breathe life into your code. Make your AI understand, problem-solve & respond naturally. 

This AI prompt engineering course comes with ample opportunities to network & the chance to have a mock interview.

You’ll get LIVE feedback from your instructor, Office Hours to ask additional questions, group chats on Discord, and students who’ve excelled get recommendation letters from Shikhar. 

 
ABOUT THE COURSE / WHAT YOU'LL DO
01
CRAFT POWERFUL PROMPTS

Master the principles of prompt engineering to create clear and concise instructions that guide AI models toward optimal performance. Leverage Amazon Bedrock, a powerful AI development platform, to experiment with different prompt techniques.

02
IMPLEMENT RESPONSIBLE AI PRACTICES

Explore strategies for monitoring models, ensuring responsible use of AI, and implementing ethical guidelines to mitigate bias and fairness issues.

03
FINAL PROJECT

Discover how AI Prompt Engineering is transforming various industries like finance, healthcare, and e-commerce. Build your own GenAI-powered conversational system tailored to either the financial or healthcare domain, showcasing your newfound expertise.

INSTRUCTOR

SHIKHAR KWATRA

LINKEDIN PROFILE
  • Sr. AI/ML Solutions Architect, AWS

  • Has 10+ years of experience from startups to large-scale enterprises

  • World’s Youngest Master Inventor with over 500 patents in the AI/ML & IoT domain

  • Wears multiple hats as a technical journal reviewer, book author, and an esteemed educator

  • Aids in architecting, building, and maintaining cost-efficient, scalable cloud environments for organizations
Instructor Shikhar Kwatra
SHIKHAR KWATRA
COURSE INTRODUCTION
syllabus
00
THU (9/19), 5:30 PM PST/8:30 PM EST
Meet Your Instructors & Course Overview

Get acquainted with your awesome instructor, understand what this course has in store for you, and get hyped about diving into AI Prompt Engineering. Let's kick off this journey!

 

  • Instructor introduction
  • Course objectives & flow
  • Final project overview
  • Applications of AI in various industries
  • Q&A
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01
MON (9/23), 5:30 PM PST/8:30 PM EST
Introduction to AI Prompt Engineering and Tools

The course begins – in this first session, you'll explore the basics of AI prompt engineering, trace the evolution of neural networks, and get a sneak peek at the latest AI tools and platforms.

 

  • Generative AI overview: History of NNs/transformers in 
  • AI prompt engineering principles
  • Overview of AI tools: Amazon Bedrock, SageMaker, ChatGPT, Bard/Gemini, Anthropic Claude, Meta Llama
  • Overview of AI platforms: Hugging Face, Microsoft, Google, Amazon, Meta, Mistral

Assignment #1: Explore research papers "Attention is All You Need" and "Large Language Models: A Survey"

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02
THU (9/26), 5:30 PM PST/8:30 PM EST
Linguistics for Effective AI Prompt Engineering

Didn’t you know that linguistics plays a huge role in AI interactions? By the end of this class, you'll be able to craft killer AI prompts using linguistic principles, play with AWS tools, and make your interactions smarter and smoother through hands-on experimentation with Amazon Bedrock.

 

  • Linguistics in AI interactions: HCI 
  • Crafting effective prompts for Amazon Bedrock AI models
  • Exploring prompting roles in depth
  • Enhancing AI interactions with linguistic strategies
  • Hands-on prompt engineering with AWS tooling

Assignment #2: Experiment with prompt engineering techniques using Amazon Bedrock playground to craft diverse prompts

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03
MON (9/30), 5:30 PM PST/8:30 PM EST
Large Language & Large Vision Models (LLMs, LVMs)

We'll explore how Large Language & Large Vision Models work, from text generation to visual interpretation, and see how they can power up your AI projects. Plus, we'll look at some real-life applications to spark your creativity.

 

  • Large Language Models (LLMs): Deep dive
  • Large Vision Models (LVMs)
  • Multimodal LLMs
  • Leveraging LLMs for AI development
  • Case study: Applications of LLMs & LVMs
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04
THU (10/3), 5:30 PM PST/8:30 PM EST
Python for AI Prompt Engineering

Get hands-on with Python for AI prompt engineering as we dive into essential techniques, explore key libraries and frameworks, and integrate Python with AI models using Amazon Bedrock and SageMaker.

 

  • Python techniques for AI development with Amazon Bedrock/SageMaker JS
  • Exploring Python libraries & frameworks in AI development
  • Workshop: Integrating Python with AI Models for prompt engineering using Amazon Bedrock APIs & SageMaker

Assignment #3: Utilize Amazon Bedrock APIs for code generation and validate prompt techniques with models like Meta Llama, Mistral, and Anthropic Claude

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05
MON (10/7), 5:30 PM PST/8:30 PM EST
Customizing & Fine-Tuning AI Models with Python

In Class 5, learn to tackle domain-specific tasks hands-on with SageMaker JumpStart. Get ready to fine-tune models, pre-train LLMs, and have some fun with practical workshops on Gemma 2B.

 

  • Customizing AI models for specific tasks 
  • Techniques for fine-tuning AI models
  • Pre-training of LLMs
  • Workshop: Fine-tuning Gemma 2B on SageMaker JumpStart

Assignment #4: Fine-tuning Gemma 2B on Amazon SageMaker JumpStart

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06
THU (10/10), 5:30 PM PST/8:30 PM EST
Model Optimization Techniques

Dive into practical model optimization techniques like pruning, compression (QLoRa and LoRa), and quantization (GPTQ, AWQ, and GGML), with hands-on assignments on Amazon SageMaker. Get ready to fine-tune your models for peak performance.

 

  • General model optimization techniques
  • Knowledge distillation, hyperparameter tuning 
  • Pruning, compression, and quantization

Assignment #5: Fine-tune an LLM on Amazon SageMaker (QLoRa OR LoRa) / Quantization model deployment on Amazon SageMaker Lab

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07
MON (10/14), 5:30 PM PST/8:30 PM EST
RAG Techniques

In this class, you'll master Retrieval-Augmented Generation (RAG) techniques, including architecting guidelines and Bedrock agents. Get ready for some hands-on fun with Amazon Bedrock as we explore how to build Q&A systems and conversational interfaces with Bedrock and LangChain.

 

  • Introduction to RAG architecting guidelines
  • Bedrock with LangChain
  • Bedrock agents/RAG 
  • Workshop: Q&A system/conversational interfaces using RAG approach in Amazon Bedrock

Assignment #6: RAG approach using Amazon SageMaker JumpStart model Lab

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08
THU (10/17), 5:30 PM PST/8:30 PM EST
Advanced RAG Techniques

Let’s level up. In Class 8, we'll dive into advanced RAG architectures, explore re-ranking and hybrid search techniques, and tackle a hands-on case study with Amazon Bedrock/SageMaker.

 

  • Advanced RAG architectures
  • Re-ranking & hybrid search techniques
  • Case study: Advanced RAG approach with code using Amazon Bedrock/SageMaker

Assignment #7: Advanced RAG approach using Amazon SageMaker JumpStart model Lab

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09
MON (10/21), 5:30 PM PST/8:30 PM EST
Evaluation Metrics for AI Models

Why are evaluation metrics crucial for AI models? Let’s explore their various types, and learn how to choose the right ones for AI prompt engineering. Plus, a case study with Amazon Bedrock will show these metrics in action.

 

  • Importance of evaluation metrics for AI model performance
  • Evaluation metrics for different AI model types
  • Techniques for selecting appropriate evaluation metrics 
  • Using MMLU, HELM, Bert Score, Rouge Score, and FMEval Libs
  • Case study: Evaluating AI models with Amazon Bedrock (human & automatic evaluation)

Assignment #8: Evaluation metrics

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10
THU (10/24), 5:30 PM PST/8:30 PM EST
Model Monitoring & Guardrails with LLMs + Guest Speaker

In this class, we're gonna explore keeping an eye on our models using CloudWatch and CloudTrail, dig into the responsible use of AI & ethics, and set up some guardrails to tackle bias and fairness issues head-on. 

 

  • Monitoring models with CloudWatch & CloudTrail
  • Responsible use of AI in various contexts
  • Ethical guidelines for AI development
  • Adding guardrails & safety nets: handling bias & fairness considerations 
  • Workshop: Monitoring & guardrails with Bedrock Lab

Assignment #9: Guardrails with Prompt Engineering Lab

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11
MON (10/28), 5:30 PM PST/8:30 PM EST
AIPE Applications in Diverse Domains

Explore how AI prompt engineering works in finance, healthcare, E-commerce, manufacturing, and beyond. Get inspired by real-life case studies and discover how AI can drive innovation, improve efficiency, reduce costs, and enhance agility across diverse industries. 

 

  • AI prompt engineering: optimizing processes & driving innovation
  • Case study: Successful AI-driven personalization strategies implementation
  • Operations & supply chain optimization
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12
THU (10/31), 5:30 PM PST/8:30 PM EST
LLM Model Deployment & Management – LLMOps

Master deploying AI models in real-world settings. From TGI to DeepSpeed and Containerization, we'll dig into strategies that make those models hum. Plus, we've got a hands-on workshop lined up to navigate monitoring and managing those AI models in real-world environments.

 

  • Deploying AI models in production: TGI, DeepSpeed, Containerization
  • Workshop: Monitoring AI models in real-world environments
  • Best practices for AI model lifecycle management 
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13
MON (11/4), 5:30 PM PST/8:30 PM EST
Future Trends in LLMs + Guest Speaker

In Class 13, explore the latest trends and future forecasts, chat about how AI advancements are shaking things up, and brainstorm how prompt engineering can tackle tomorrow's societal and technological challenges.

 

  • AI prompt engineering trends
  • Future of AI technology & impact on prompt engineering
  • AI prompt engineering for future challenges
  • Final project presentation
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14
THU (11/7), 5:30 PM PST/8:30 PM EST
Career Development + Guest Speaker

Let's get real about AI career paths. Discover the latest scoop on AI prompt engineering gigs, ace your networking game within the AI community, and learn how to craft a killer portfolio to flaunt your projects & skills.

 

  • Career opportunities in AI prompt engineering landscape 
  • Networking strategies in the AI community
  • Portfolio development for AI prompt engineering 
  • Insights into the AI industry, key players, trends & forecasts
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What our students say

Student Carlos Andres
Carlos Andres
BECOME AN ART DIRECTOR
"The group activities, they allow us to interact and exchange ideas, plus the way it is structured is challenging and mind twisting as we collaborate in different parts of the ideation."
Student Hayley Smith
Hayley Smith
BRANDING 101
"Overall I'm impressed with the level of detail and explanation around particular topics and subjects. There's a real depth to each module which for learning allows the information to stay in your brain."
Student Rebecca Kouwe
Rebecca Kouwe
HUMAN RESOURCES ANALYTICS
"I really enjoy the format of the course. Lectures with real life examples and an ongoing case study. Also built in 20 minutes at the end of each class for questions is helpful."
Student Courtney Fulton
Courtney Fulton
WOMEN IN LEADERSHIP
"I enjoyed the structure of the class. I like how we learned about a topic and practiced it in the workshops. It’s helped me to apply what I learned!"
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