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Artificial Intelligence
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Maven

AI for Engineers

  • up to 5 weeks
  • Intermediate

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.

  • Prompt engineering
  • Retrieval Augmented Generation (RAG)
  • Fine-tuning
  • Agentic AI systems
  • LLM deployment

Overview

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.

  • Web Streamline Icon: https://streamlinehq.com
    Online
    course location
  • Layers 1 Streamline Icon: https://streamlinehq.com
    English
    course language
  • Professional Certification
    upon course completion
  • Part-time
    course format
  • Live classes
    delivered online

Who is this course for?

Software Engineers and Developers

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

Data Scientists and AI Enthusiasts

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

Domain Experts and Researchers

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

This course will equip you with the skills to master Generative AI, including prompt engineering, RAG, and fine-tuning. Ideal for software engineers, data scientists, and domain experts, it will help you build cutting-edge AI applications and advance your career in AI engineering.

Pre-Requisites

1 / 2

  • Software engineering background

  • Awareness of Python as a programming language

What will you learn?

Pre-work on LLM and Prompt Engineering
Pre-work on LLM and Prompt Engineering
Introduction to Generative AI, Large Language Models, and Prompt Engineering
Introduction to Generative AI, Large Language Models, and Prompt Engineering
Pre-work on RAG
Pre-work on RAG
Retrieval Augmented Generation (RAG)
Retrieval Augmented Generation (RAG)
Pre-work on fine-tuning
Pre-work on fine-tuning
Fine-Tuning
Fine-Tuning
Pre-work on agents and deployment
Pre-work on agents and deployment
Agents and Deployment
Agents and Deployment
Industry Use Cases, Best Practices, and Final Project
Industry Use Cases, Best Practices, and Final Project
1:1 interaction
1:1 interaction

What learners say about this course

  • “It's always a pleasure learning with Ritesh. He is very helpful and always goes the extra mile to support his students. Absolutely top class.”

    Amer

    Management Consultant, AI consulting

  • “This course answered so many questions and taught me so much about this emerging space. I am so much more confident as a new AI Product Manager as a result. Thank you, Ritesh!”

    Jae

    AI Product Manager, Divigner Group

  • “Ritesh is very knowledgeable when it comes to applying LLMs to practical use cases. He is a humble and great teacher who is passionate about what he does. Money well spent.”

    Sameer

    Senior Director, Data Science, Bank of America

Meet your instructor

  • Ritesh Vajariya

    Head of AI Strategy and Business Development, Cerebras Systems

    Ritesh Vajariya is a passionate AI expert with years of experience guiding C-level executives in developing and implementing effective AI strategies. He currently leads the strategy and business development for Cerebras Systems, an innovative AI hardware company building LLMs.

Upcoming cohorts

  • Dates

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$990