Coursera Instructor Network
Harnessing LLMs: Strategy, Fine-Tuning & Evaluation Specialization
Coursera Instructor Network

Harnessing LLMs: Strategy, Fine-Tuning & Evaluation Specialization

Build AI-powered business solutions with LLMs. Learn to deploy Large Language Models strategically. Technical skills in Python recommended.

Reza Moradinezhad
Starweaver
Manas Dasgupta

Instructors: Reza Moradinezhad

Included with Coursera Plus

Get in-depth knowledge of a subject
Intermediate level

Recommended experience

4 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
Get in-depth knowledge of a subject
Intermediate level

Recommended experience

4 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace

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Specialization - 7 course series

What you'll learn

  • Evaluate the opportunity of LLMs and utilize their capabilities for their business.

  • Review the opportunities provided by current LLMs, as well as current limitations in certain business applications.

  • Develop a roadmap to design and implement new business ideas using LLMs.

  • Analyze current trends of LLMs and work to “cut through the noise.”

Skills you'll gain

Category: Large Language Modeling
Category: Prompt Engineering
Category: Artificial Intelligence
Category: Natural Language Processing
Category: OpenAI
Category: ChatGPT
Category: Business Strategy
Category: Generative AI
Category: Business Modeling
Category: System Design and Implementation
Category: Business Analysis
Category: Trend Analysis
Category: Business Process

What you'll learn

  • Analyze key concepts of Large Language Models, Evolution of Language AI, and fine-tuning.

  • Identify and analyze how to use LLMs Fine-Tuning for business-specific tasks.

  • Apply LLM fine-tuning to create your own custom model.

  • Evaluate the future of LLMs for business use cases and stay updated with the latest trends in Language AI.

Skills you'll gain

Category: Large Language Modeling
Category: Business Solutions
Category: Personalized Service
Category: Business Strategies
Category: AI Personalization
Category: ChatGPT
Category: Natural Language Processing
Category: Generative AI
Category: Real Time Data
Category: Artificial Intelligence
Category: Business Analysis

What you'll learn

  • Identify the fundamentals of Large Language Models, including current evaluation methods and access to Vertex AI's evaluation models.

  • Apply hands-on knowledge of using Vertex AI's Automatic Metrics and AutoSxS for LLM evaluation.

  • Evaluate upcoming trends in generative AI evaluation, encompassing text, image, and audio models, and the importance of human evaluation.

Skills you'll gain

Category: Large Language Modeling
Category: Google Cloud Platform
Category: Generative AI
Category: Natural Language Processing
Category: Image Analysis
GenAI and Model Selection

GenAI and Model Selection

Course 43 hours

What you'll learn

  • Distinguish between GenAI models and their applications.

  • Use evaluation criteria to select suitable GenAI models for specific uses cases

  • Make informed decisions about integrating GenAI models into their operational systems

Skills you'll gain

Category: Generative AI
Category: Data-Driven Decision-Making
Category: Innovation
Category: Strategic Decision-Making
Category: Deep Learning
Category: Applied Machine Learning
Category: Natural Language Processing
Category: Machine Learning
Category: Systems Integration
Category: Large Language Modeling

What you'll learn

  • Navigate through the Hugging Face Ecosystem

  • Comparing Models using various Factors and Practical Considerations

  • Using a Model from Hugging Face

  • Determine the most suitable model for a given task by scoring the results from each candidate model on a variety of parameters.

Skills you'll gain

Category: Natural Language Processing
Category: Large Language Modeling
Category: Generative AI
Category: Analysis
Category: MLOps (Machine Learning Operations)

What you'll learn

  • Evaluate LLMs conceptually and comprehend the solution development process

  • Analyze use cases for LLMs and determine Optimal Architectures, Models, and Optimization Techniques

  • Apply and compare Diverse Optimization Techniques for LLM Models

  • Design and develop Advanced LLM Solutions Utilizing LLama2

Skills you'll gain

Category: Large Language Modeling
Category: Artificial Intelligence
Category: System Design and Implementation
Category: Analysis
Category: Solution Architecture
Category: Performance Tuning
Category: Prompt Engineering
Category: Generative AI
Category: User Interface (UI)
Category: Application Deployment
Category: Software Architecture
Category: Design

What you'll learn

  • Explore AI capabilities with interactive tasks.

  • Build a chatbot using Python and HuggingFace.

  • Deploy a reliable AI app.

  • Evaluate AI ethics through practical scenarios.

Skills you'll gain

Category: Prompt Engineering
Category: Large Language Modeling
Category: Generative AI
Category: Artificial Intelligence
Category: Application Development
Category: Cloud Applications
Category: Human Computer Interaction
Category: Application Deployment
Category: MLOps (Machine Learning Operations)
Category: Interaction Design
Category: Application Security
Category: Infrastructure Architecture

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Instructors

Reza Moradinezhad
Coursera Instructor Network
3 Courses2,734 learners
Starweaver
Coursera Instructor Network
403 Courses735,338 learners
Manas Dasgupta
Coursera Instructor Network
10 Courses5,554 learners

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