Name: Getting Started with LLMs – 1 Day Course in Boston, MA
Start: 2025-12-23T09:00:00-05:00
End: 2026-06-11T17:00:00-05:00
Location: regus MA, Boston - Federal Street

$Getting Started with LLMs \u2013 1 Day Course in Boston, MA$

Demystify LLMs and learn step-by-step how to use them for real-world tasks, projects, productivity, and innovation.
About this Event

Group Discounts:

Save 10% when registering 3 or more participants
Save 15% when registering 10 or more participants

About the course:

Duration: 1 Full Day (8 Hours)
Delivery Mode: Classroom (In-Person)
Language: English
Credits: 8 PDUs / Training Hours
Certification: Course Completion Certificate
Refreshments: Lunch, Snacks and beverages will be provided during the session

Course Overview:

This introductory and practical program provides a clear understanding of how Large Language Models (LLMs) such as ChatGPT and open-source transformer models work. Participants will explore model structure, prompting techniques, model fine-tuning, and integration workflows. Through guided exercises and real project demos, attendees will develop confidence in building and applying LLM-powered solutions across business functions and industry use cases.

Learning Objectives:

By the end of this course, you will:

• Explain how LLMs and transformer models work
• Design clear and optimized prompts
• Customize or adapt models for specific tasks
• Integrate LLM capabilities into real applications
• Identify and evaluate business use cases
• Apply responsible governance and data standards

Target Audience:

• Developers & Software Engineers
• Data Scientists & Technical Professionals
• Product & Innovation Teams
• Business Analysts & Consultants
• Anyone exploring applied AI workflows

Why Is It the Right Fit for You:

Most professionals and organizations are exploring LLMs but lack the clarity and structure to use them effectively and responsibly. This course breaks down complex AI concepts into simple, practical steps you can immediately apply at work. You gain not just knowledge — but confidence to build and deploy real solutions.

Our Royalty Referral Program

Know a team or professional who could benefit from our workshops? Refer them and earn attractive royalties for every successful registration.

For royalty-related queries, contact [email protected]

Want to build a stronger AI culture across your organization?
In-house programs are available to align with your team’s workflows, tools, security needs, and real operational use cases. Custom case studies and guided implementation can be built directly around your organization’s data and processes.

📧 Contact us today to schedule a customized in-house session:

Agenda
Module 1: Understanding LLMs

Info:
• Key components of transformer architecture
• How LLMs learn and generate language
• Strengths and limitations of LLMs
• Icebreaker Activity

Module 2: Working with Pre-Trained Models

Info:
• Accessing commercial & open-source models
• Prompt design & iterative prompting
• Troubleshooting inaccurate outputs
• Activity

Module 3: Customization & Fine-Tuning Options

Info:
• When to prompt vs. when to fine-tune
• LoRA, RAG, embeddings & vector stores
• Preparing datasets for custom behavior
• Hands-On Demonstration

Module 4: Application & Integration

Info:
• API workflows for product development
• Building assistants, chatbots, and automation scripts
• Connecting LLMs to private enterprise knowledge
• Case Study

Module 5: Business Use Cases & ROI

Info:
• Efficiency, decision support, and creativity applications
• Cost considerations and scaling strategies
• Evaluating ROI and success metrics
• Activity

Module 6: Responsible & Ethical AI

Info:
• Privacy, compliance, transparency, and safety
• Preventing biased or harmful output
• Governance frameworks across AU / DE / UK
• Group Brainstorm Activity

Module 7: Project & Action Plan

Info:
• Mini Build: Apply LLM integration to a real workflow
• Define clear next steps and implementation roadmap
• Action Plan Review