Live, Practical AI Training for Technical and Business Teams
Tami helps organizations upskill their workforce with live, expert-led training in AI, machine learning, and generative AI. Whether you're preparing engineers to build AI features or enabling non-technical teams to leverage LLMs, Tami delivers fast, customized sessions that drive real understanding and impact.
From AI prompt engineering to model fundamentals to applied business use cases, Tami gives your team the knowledge and confidence to stay ahead in the age of AI.
The future of work is AI-powered. Tami helps you train for it, fast.
Live, instructor-led sessions customized to your tech stack and goals
Covers both technical and non-technical AI use cases
Fast turnaround for training delivered in days, not weeks or months
Focus on applied, real-world skills (not just theory)
Supports AI upskilling, innovation, and workforce transformation
Tami designs each course to fit your team’s level, whether you're just beginning your AI journey or preparing to deploy ML models in production.
Introduction to AI & Machine Learning
What is AI? Types of ML, supervised vs. unsupervised learning, model lifecycle
Generative AI Training
How large language models (LLMs) work, applications of ChatGPT, use cases for business, limitations and risks
AI Prompt Engineering
What makes a good prompt? Techniques for improving LLM outputs, structured prompting for workflows, prompt testing and iteration
Ethical AI & Governance
Fairness, transparency, bias mitigation, model monitoring
AI in the Enterprise
Evaluating tools, vendor selection, integrating AI into products and processes
Applied ML for Engineers
Model development lifecycle, data prep, training and testing, deployment considerations, Python & ML libraries (scikit-learn, TensorFlow, etc.)
Tami offers focused training on generative AI and AI prompt engineering, two of the fastest-growing areas in tech and business enablement.
Understanding large language models (LLMs) like GPT-4
Business applications of generative AI (content, code, automation, data)
Risks, hallucinations, and responsible usage
Using ChatGPT, Claude, and other tools in enterprise environments
Prompt fundamentals: structure, clarity, constraints
Advanced techniques: few-shot prompting, chaining, role priming
Building reusable prompts for internal tools
Prompting for product, marketing, ops, and technical use cases
Your team won’t just “try AI.” They’ll know how to use it effectively.
Tami customizes every AI/ML session to your company’s goals, data maturity, and tooling.
You can tailor based on:
Your team’s technical level (engineers vs. business teams)
In-house or third-party AI tools (OpenAI, Hugging Face, LangChain, etc.)
AI strategy (internal R&D, feature enablement, business experimentation)
Team-specific goals (e.g., enablement, AI literacy, risk management)
Example Custom Courses:
“Generative AI for Marketing, Product & CX Teams”
“AI for Engineers: From Model to Deployment”
“Prompt Engineering for Internal Workflows”
“Building an AI-Ready Organization”
Tami supports AI enablement across your entire organization—from engineering to sales, product, and leadership.
Machine Learning Engineers
Data Scientists
Software Engineers integrating AI
Product Managers and Designers
Marketers and Content Creators using AI tools
HR and L&D teams planning AI workforce transformation
Sales, Success, and Ops teams using AI in workflows
Leadership & strategy teams evaluating AI for business impact
What is AI training?
AI training helps individuals and teams understand how artificial intelligence works, how it can be applied, and how to use it responsibly. Tami’s training focuses on real-world use.
What is prompt engineering?
Prompt engineering is the practice of crafting and optimizing inputs to large language models (LLMs) to get more accurate, useful outputs. It’s essential for anyone using tools like ChatGPT or building AI-powered products.
Do you offer generative AI training for non-technical teams?
Yes. Tami designs generative AI courses for marketers, product managers, sales reps, and others. We use examples tied to your business and workflow.
Can we train engineers and business teams separately?
Yes, we often run split sessions. For example, ML fundamentals for engineers, and prompt usage for non-tech teams, so everyone gets what they need.
How long does it take to launch a training session?
Most teams are up and running in 2–4 business days. Tami handles outline creation, instructor matching, and scheduling so all you do is have your teams show up.
Tami helps you go from AI-curious to AI-capable quickly, responsibly, and with training that meets your team where they are.
Ready to Upskill Your Teams on AI?