In today's era, learning about ai is crucial as businesses increasingly rely on it for efficiency, automation, and personalization, but not everyone is an expert in the field. Salesforce offers short courses on Trailhead, covering essential ai skills to help you become the ai hero your company needs, positioning you for new opportunities and career advancements. This article lists the best Salesforce courses to help you gain ai expertise and excel in your career.
Fundamentals of artificial intelligence
This course covers the fundamentals of ai, including key concepts, challenges in defining ai, and the tasks it can perform. Explains the differences between hand-coded algorithms and trained models, the relationship between machine learning and ai, and the impact of data types on training. It also explores neural networks, their components, and the complexity of deep learning.
Large language models
This course covers large language models (LLM), their training and tuning. It helps you choose the right LLM for your business and understand the limitations of different LLM options.
<h3 class="wp-block-heading" id="h-generative-ai-basics”>ai-basics”>Basics of Generative ai
This course explores generative ai, its capabilities, and the underlying technology. It covers key vocabulary, the technology stack, and rapid development components, as well as addressing common business concerns about generative ai.
Basics of Natural Language Processing
This course covers the basics of natural language processing (NLP), its evolution, and everyday applications. Differentiates between NLP, natural language understanding and generation and explains key techniques such as sentiment, intent and context analysis.
Einstein Classification Applications for Service
This course teaches how to use Einstein classification applications to enhance case data with predictive intelligence, saving support agents time. It covers preparing data, deploying applications, tuning prediction settings, and enabling agents to use Einstein recommendations.
Quick basics
This course teaches how to write effective prompts for generative ai. It covers designing messages, creating message templates, adding CRM data to messages, and iterating the design process to improve content creation.
Model fine tuning
This course covers the benefits, mechanics, and challenges of tuning large language models. Explains when to use fine-tuning and how to prepare data sets, and provides an overview of the fine-tuning process.
<h3 class="wp-block-heading" id="h-generative-ai-for-images”>Generative ai for images
This course teaches techniques for creating high-quality images with ai, highlighting the advantages of diffusion models over GANs. It covers popular generative ai tools, sets realistic goals, creates effective prompts, and addresses ethical concerns of ai-generated artwork.
Responsible creation of artificial intelligence
This course covers creating ethical ai systems by removing biases from data and algorithms. Teaches how to define bias and fairness, create diverse teams, align design with company values, understand ethical versus legal standards, and implement best practices to identify and mitigate ethical risks in ai development.
<h3 class="wp-block-heading" id="h-critical-thinking-and-decision-making-with-data-and-ai“>ai“>Critical thinking and decision making with data and artificial intelligence
This course covers strategies to improve decision making with data and ai, including critical thinking, data-driven decision making, and ai integration. Teaches questioning techniques, decision-making models, real-world applications, and ethical considerations in various industries.
Shobha is a data analyst with a proven track record in developing innovative machine learning solutions that drive business value.
