Learning about AI is crucial as businesses increasingly use it for efficiency, automation, and personalization, but not everyone is an expert in the field. Salesforce offers short courses on Trailhead to cover essential AI skills to help you become the AI hero your company needs and lay the foundation for new opportunities and career advancement. In this article, we'll share some recommended courses from Salesforce that will help you build your AI expertise and advance your career.
Artificial Intelligence Basics
This course covers the fundamentals of AI, including key concepts, the challenges in defining AI, and the tasks it can perform. It explains the difference between hand-coded algorithms and trained models, the relationship between machine learning and AI, and how data types affect training. It also covers neural networks, their components, and the intricacies of deep learning.
Large-scale language models
This course explains Large Language Models (LLMs), their training and fine-tuning, helping you choose the right LLM for your business and understand the limitations of different LLM options.
Generative AI Basics
This course will teach you about generative AI, its capabilities and the underlying technologies. It will cover key terminology, technology stacks, and rapid development components, and also address common business concerns around generative AI.
Fundamentals of Natural Language Processing
This course covers the fundamentals of Natural Language Processing (NLP), its evolution, and everyday applications. It distinguishes between NLP, natural language understanding, and generation, and covers key techniques such as sentiment, intent, and context analysis.
Einstein Classification for Service App
In this course, you will learn how to use the Einstein Classification app to enrich your case data with predictive intelligence and save your support agents time. We will cover preparing data, implementing the app, adjusting prediction settings, and empowering agents to take advantage of Einstein's recommendations.
Prompt Basics
In this course, you will learn how to create effective prompts for generative AI. We will cover designing prompts, creating prompt templates, adding CRM data to prompts, and iterating on the design process to improve content creation.
Fine-tuning the model
This course covers the benefits, mechanics, and challenges of fine-tuning large-scale language models. It explains when to use fine-tuning and how to prepare your dataset, and provides an overview of the fine-tuning process.
Image Generation AI
In this course, you'll learn techniques for using AI to create high-quality images and highlight the advantages of viral models over GANs. We'll cover popular generative AI tools, setting realistic goals, creating effective prompts, and addressing ethical issues in AI-generated artwork.
Creating Responsible Artificial Intelligence
This course teaches you how to remove bias from data and algorithms to create ethical AI systems. You will learn to define bias and fairness, build diverse teams, design to align with your company's values, understand ethical and legal standards, and implement best practices to identify and mitigate ethical risks in AI development.
Critical thinking and decision-making with data and AI
This course covers strategies to enhance data and AI decision making, including critical thinking, data-driven decision making, and AI integration. You will learn questioning techniques, decision models, real-world applications, and ethical considerations across industries.
Shobha is a data analyst with a proven track record in developing innovative machine learning solutions that drive business value.
