AI for Engineers

New
·

5 Weeks

·

Cohort-based Course

Master Generative AI for engineers: prompt engineering, RAG, fine-tuning & more. Build cutting-edge AI apps & revolutionize your projects.

Build using top-tier industry tools

OpenAI
Hugging Face
Amazon Web Services
Anthropic
Meta

Course overview

From AI Novice to Generative AI Engineer

In this transformative course, you'll journey from being an AI novice to becoming a confident and skilled Generative AI Engineer. You'll gain a deep understanding of the fundamental concepts behind Large Language Models (LLMs) and their applications in solving real-world engineering challenges.


Through hands-on projects and expert guidance, you'll master the art of prompt engineering, enabling you to effectively communicate with and guide LLMs to achieve desired outcomes. You'll explore cutting-edge techniques like Retrieval Augmented Generation (RAG) and fine-tuning, empowering you to build sophisticated AI systems that can process and generate human-like text.


As you progress through the course, you'll develop the skills to create agentic systems that can autonomously perform complex tasks and make intelligent decisions. You'll also learn best practices for deploying and monitoring LLM applications in production environments, ensuring scalability and reliability.


By the end of this course, you'll have a robust portfolio of Generative AI projects showcasing your ability to leverage LLMs for various engineering applications. You'll be equipped with the knowledge and practical experience needed to drive innovation in your organization and make a significant impact in the field of AI engineering.


Some of the tools we will use during the course are: OpenAI chatGPT, Amazon SageMaker, Amazon Bedrock, Anthropic's Claude, LangChain, LlamaIndex, HuggingFace


Whether you're a software engineer looking to expand your skill set, a data scientist seeking to harness the power of Generative AI, or a domain expert aiming to incorporate AI into your projects, this course will provide you with the tools and confidence to succeed. Join us on this transformative journey and unlock the limitless potential of Generative AI in engineering.


Schedule at-a-glance:


⏰ Time: 10:30 am - 12:00pm EST (New York time)


🗓️ Dates:


June 15 (Saturday)

June 16 (Sunday)

June 22 (Saturday)

June 23 (Sunday)

June 29 (Saturday)

June 30 (Sunday)

July 6 (Saturday)

July 7 (Sunday)

July 13 (Saturday)

Who is this course for

01

Software Engineers and Developers:

Expand your skills, build intelligent apps, automate tasks, and stay competitive in AI-driven development

02

Data Scientists and AI Enthusiasts:

Explore Generative AI, leverage LLMs for insights, push boundaries, and solve real-world problems

03

Domain Experts and Researchers:

Incorporate AI into your projects, automate tasks, gain insights, and collaborate with AI experts.


What you’ll get out of this course

Mastering Prompt Engineering
  • Learn to effectively communicate with and guide LLMs through optimized prompts.
  • Unlock the full potential of LLMs and achieve desired outcomes in your AI projects.
Implementing Retrieval Augmented Generation (RAG)
  • Discover how RAG enhances LLMs by integrating external knowledge sources.
  • Build powerful question-answering systems and knowledge-intensive applications.
Fine-Tuning LLMs for Domain-Specific Tasks
  • Adapt pre-trained LLMs to your specific domain or task requirements.
  • Improve the performance and accuracy of your AI models through fine-tuning techniques.
Developing Agentic AI Systems
  • Create autonomous AI agents that can perform complex tasks and make intelligent decisions.
  • Explore the concepts of goal-oriented behavior and rational decision-making in AI systems.
Deploying and Monitoring LLM Applications
  • Learn best practices for deploying LLM applications in production environments.
  • Ensure the scalability, reliability, and performance of your AI systems through effective monitoring and logging techniques.

This course includes

9 interactive live sessions

Lifetime access to course materials

22 in-depth lessons

Direct access to instructor

5 projects to apply learnings

Guided feedback & reflection

Private community of peers

Course certificate upon completion

Maven Satisfaction Guarantee

This course is backed by Maven’s guarantee. You can receive a full refund within 14 days after the course ends, provided you meet the completion criteria in our refund policy.

Course syllabus

Expand all modules
  • Week 1

    Jun 15—Jun 16

    Week dates are set to instructor's time zone

    Events

    • Jun

      15

      Session 1

      Sat, Jun 15, 2:30 PM - 4:00 PM UTC

    • Jun

      16

      Session 2

      Sun, Jun 16, 2:30 PM - 4:00 PM UTC

    Modules

    • Pre-work on LLM and Prompt Engineering

    • Introduction to Generative AI, Large Language Models, and Prompt Engineering

  • Week 2

    Jun 17—Jun 23

    Week dates are set to instructor's time zone

    Events

    • Jun

      22

      Session 3

      Sat, Jun 22, 2:30 PM - 4:00 PM UTC

    • Jun

      23

      Session 4

      Sun, Jun 23, 2:30 PM - 4:00 PM UTC

    Modules

    • Pre-work on RAG

    • Retrieval Augmented Generation (RAG)

  • Week 3

    Jun 24—Jun 30

    Week dates are set to instructor's time zone

    Events

    • Jun

      29

      Session 5

      Sat, Jun 29, 2:30 PM - 4:00 PM UTC

    • Jun

      30

      Session 6

      Sun, Jun 30, 2:30 PM - 4:00 PM UTC

    Modules

    • Pre-work on fine-tuning

    • Fine-Tuning

  • Week 4

    Jul 1—Jul 7

    Week dates are set to instructor's time zone

    Events

    • Jul

      6

      Session 7

      Sat, Jul 6, 2:30 PM - 4:00 PM UTC

    • Jul

      7

      Session 8

      Sun, Jul 7, 2:30 PM - 4:00 PM UTC

    Modules

    • Pre-work on agents and deployment

    • Agents and Deployment

  • Week 5

    Jul 8—Jul 13

    Week dates are set to instructor's time zone

    Events

    • Jul

      13

      Session 9

      Sat, Jul 13, 2:30 PM - 4:00 PM UTC

    Modules

    • Industry Use Cases, Best Practices, and Final Project

  • Bonus

    Modules

    • 1:1 interaction

Meet your instructor

Ritesh Vajariya

Ritesh Vajariya

Builder at heart, currently Ritesh is Head of Strategy and Business Development for Cerebras Systems. Prior to that Ritesh led Generative AI for SageMaker and Bedrock at Amazon Web Services (AWS), guiding heads of state, technology and business leaders, founders, and investors globally on AI adoption. Ritesh has overseen the creation of some of the most groundbreaking foundation models in existence, including BloombergGPT, Falcon,.


Prior to that, Ritesh spearheaded the creation of Bloomberg's massive data and machine learning platform as an innovative leader. This enabled hundreds of engineers and scientists to build scalable, AI-powered applications.

.

Outside of work, Ritesh is changing the game of AI. Ritesh has spoken about AI around the world, advises on AI usage, and created playbooks to educate businesses on how to successfully build and scale with AI.


Ritesh founded AIGuru.Academy, a platform that offers free to nominal cost AI education to individuals regardless of their socio-economic background.


Connect via LinkedIn or drop an email


Reach out for corporate trainings and group/student discounts.

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Join an upcoming cohort

AI for Engineers

Vanguard

$1,090 USD

Dates

June 15—July 13, 2024

Application Deadline

June 10, 2024
|

Bulk purchases

Course schedule

4-6 hours per week
  • Saturday & Sunday

    ⏰ Time: 10:30 am - 12:00pm EST (New York

    🗓️ Dates:

    June 15 (Saturday)

    June 16 (Sunday)

    June 22 (Saturday)

    June 23 (Sunday)

    June 29 (Saturday)

    June 30 (Sunday)

    July 6 (Saturday)

    July 7 (Sunday)

    July 13 (Saturday)

  • Pre-work

    4-6 hours

    Before each weekend, there will be a pre-work for students to be ready to understand the concepts - either in form of pre-recorded video or pre-reading of articles.

  • Capstone project

    1 hours per week

    Use 1 hour weekly to prepare your project which you can demonstrate to your peers, bosses and the world.

Free resource

Introduction to Generative AI

Grab front row seats to the artificial intelligence event that's shaping the future.

Generative AI represents a seismic shift - technology that can create brand new content, designs, and insights instead of just analyzing data.

This book takes you on an engaging tour of the breakthroughs in machine learning fueling this revolution. ChatGPT, Claude and DALL-E are just the beginning. Through fun examples and clear explanations, you’ll learn how generative models work . You’ll see the technology applied across industries like healthcare, finance and more.

Get this free resource

Learning is better with cohorts

Learning is better with cohorts

Go beyond the basics

Learning about AI for your real project is more important than theory of it.

Real world experience

I live with the content I am presenting everyday. Real world experience is coming from my own work at my current job - I am not an instructor or consultant.

Don't go it alone

Leadership is less lonely with a supportive community of peers. 


You will also join a peer community after the course for life long journey.

Frequently Asked Questions

I am new to the world of AI. Is this course for me?
What happens if I can’t make a live session?
Will there be an opportunities to interact with other students?
What’s the refund policy?
I work full-time, what is the expected time commitment?
I am considering to transition my career to AI. Will this course be helpful?
I have more questions, who do I contact?
A pattern of wavy dots
Join an upcoming cohort

AI for Engineers

Vanguard

$1,090 USD

Dates

June 15—July 13, 2024

Application Deadline

June 10, 2024
|

Bulk purchases

$1,090 USD

5 Weeks