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Overview

A Generative AI Engineer is responsible for understanding generative AI concepts and Alibaba Cloud technologies that can be used to deploy such applications. This role focuses on identifying and describing appropriate generative AI services and solutions, playing a key part in the organization’s exploration of AI capabilities.
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What You'll Learn

  • Knowledge of GenAI: Understanding the principles and underlying technologies of generative AI, including both text and image models, as well as the core foundational models (FMs) used for generating content.
  • Model Training and Optimization: Comprehension of basic training and finetuning processes for generative models, coupled with knowledge of advanced techniques such as RAGs and agents to enhance model performance.
  • Prompt Engineering Proficiency: Craft effective prompts to optimize the output of GenAI models, ensuring improved accuracy and alignment with user expectations.
  • Identification of AI Solutions: Capability to describe and recommend suitable generative AI solutions and services provided by Alibaba Cloud, such as Qwen and Model Studio.

Who Should Attend

N/A
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Prerequisites

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Learning Journey

Coming Soon...

Module 1: Generative AI Basics

Introduction to Generative AI Concepts

  • What is GenAI
  • Development history of GenAI
  • GenAI vs traditional AI
  • Key concepts in GenAI
  • Use cases and industry applications
  • Logistics, education, healthcare, etc.
  • Core foundational models
  • GANs, VAEs, and Transformers

Module 2: Foundational Technologies Behind AI

Foundational Technologies Behind Today's AI Capabilities

  • What is machine learning
  • Understanding machine learning
  • Training techniques (supervised, unsupervised, and reinforcement learning)
  • Types of ML algorithms and their applications
  • What is deep learning
  • Biomimicry in deep learning
  • Understanding RNNs and CNNs
  • What is NLP
  • How machines can understand language
  • The NLP development pipeline
  • NLP at work
  • Tokenization, embeddings, and language models

Module 3: Alibaba Cloud GenAI Offerings

Introduction to Qwen

  • What is Qwen
  • Model capabilities and performance
  • Qwen model offerings

Deploying Models on Alibaba Cloud

  • Introduction to GPU-accelerated ECS instances
  • Introduction to PAI
  • Introduction to ComputeNest

Model Studio Fundamentals

  • What is Model Studio
  • Concepts & components
  • System prompts
  • Multi-model comparison
  • Agent and RAG creation

Module 4: Generative Model Training & Optimization

Understanding Language Models

  • Evolution of language models
  • Scaling laws vs performance

Pre-training Generative Models

  • Data collection & preparation
  • Model architectures
  • Tuning techniques (instruction and alignment tuning)

Generative Model Optimization

  • Understanding augmentation techniques
  • Understanding retrieval augmented generation systems (RAGs)
  • Understanding agents
  • Multi-agent workflows

Module 5: Interacting Effectively with Generative Models

Prompt Engineering Fundamentals

  • Understanding how generative models "think"
  • What is prompt engineering
  • The "genius in a room" analogy
  • Crafting prompts:
  • The five elements of a good prompt
  • "Training" LLMs through effective prompting
  • Basic prompting techniques
  • Instructions
  • Examples (few-shot)
  • Role-play
  • Chain-of-thought

Frequently Asked Questions (FAQs)

  • Why get Alibaba Cloud certified?

    Alibaba Cloud certifications validate your skills and knowledge in cloud computing and Alibaba Cloud's suite of services.

    These certifications can enhance your career prospects, increase your earning potential, and demonstrate your expertise in one of the world's leading cloud platforms.

    Certified professionals are highly sought after by organizations seeking to leverage the power of Alibaba Cloud for their digital transformation.

  • What to expect for the examination?

    Alibaba Cloud offers a range of certification exams, each focusing on specific cloud computing domains or technologies.

    Exams typically consist of multiple-choice and scenario-based questions that assess your knowledge and ability to apply it in real-world scenarios.

    Note: Certification requirements and policies may be updated by Alibaba Cloud from time to time. We apologize for any discrepancies; do get in touch with us if you have any questions.

  • How long is Alibaba Cloud certification valid for?

    Alibaba Cloud certifications are typically valid for two years from the date of passing the exam.

    To maintain your certification, you will need to recertify by passing the latest version of the exam.

    Note: Certification requirements and policies may be updated by Alibaba Cloud from time to time. We apologize for any discrepancies; do get in touch with us if you have any questions.

  • Why take this course with Trainocate?

    Here’s what sets us apart:

    - Global Reach, Localized Accessibility: Benefit from our geographically diverse training hubs in 24 countries (and counting!).

    - Top-Rated Instructors: Our team of subject matter experts (with high average CSAT and MTM scores) are passionate to help you accelerate your digital transformation.

    - Customized Training Solutions: Choose from on-site, virtual classrooms, or self-paced learning to fit your organization and individual needs.

    - Experiential Learning: Dive into interactive training with our curated lesson plans. Participate in hands-on labs, solve real-world challenges, and take on comprehensive assessments.

    - Learn From The Best: With 30+ authorized training partnerships and countless awards from Microsoft, AWS, Google – you're guaranteed learning from the industry's elite.

    - Your Bridge To Success: We provide up-to-date course materials, helpful exam guides, and dedicated support to validate your expertise and elevate your career.

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