Understand how to assess AI responses using clear evaluation criteria like relevance, accuracy, and usefulness.

Show how prompts can help validate sources and reduce hallucinations.

Access all the materials and templates that support your learning journey.

Learn how to structure digital marketing strategies using the RACE Framework: Reach, Act, Convert, and Engage.

Discover how the ReAct prompting framework enables AI to reason and act step-by-step for more accurate and contextual responses.

Explore the Tree of Thought method, which guides AI through branching decisions to improve problem-solving and planning.

Understand how Self-Ask prompting encourages AI to generate and answer its own sub-questions for complex queries.

Learn the foundational language and key concepts that power generative AI technologies like ChatGPT.

Master advanced strategies to craft effective prompts that drive accurate, context-aware AI responses.

Explore powerful prompting frameworks like ReAct and Self-Ask to enhance reasoning and multi-step thinking in AI.

Deepen your prompt engineering skills with techniques for refining outputs and guiding complex AI behavior.

Discover and apply tools that let you test, compare, and optimize AI prompts for consistent results.

Learn specialized prompt techniques tailored for different industries, tasks, or creative use cases.

Side-by-side demos showing vague vs. well-crafted prompts and how the outputs differ.

In this lesson, we will show how to spot why an AI misunderstood you and how to reframe your request.

Show how prompts can help validate sources and reduce hallucinations.

We will teach how to stack elements for precision.

You will compile your best best prompts + outputs to showcase in resumes or LinkedIn.

Learn the key distinctions between DeepSeek and ChatGPT to understand their unique applications.

Explore how DeepSeek R1 is tailored to solve marketing and business challenges.

Discover the main difference between DeepSeek R1 and DeepSeek V3.

This lesson introduces DeepSeek Chat as your interactive assistant for strategic thinking. It helps clarify goals, guide decision-making, and structure your business questions to get meaningful, context-aware answers.

Discover the search feature in DeepSeek.

This lesson introduces DeepThink mode—an AI reasoning engine that helps simulate scenarios, analyze complex questions, and generate deep analytical answers.

This lesson shows how to integrate all three DeepSeek modes to solve complex business tasks—using Chat for guidance, Search for data, and DeepThink for strategic analysis.

You will see how DeepSeek can be used in Perplexity.

Analyze and summarize documents instantly using DeepSeek.

Use DeepSeek to review literature and manage citations with ease.

In this lesson, we’ll discuss the importance of data in market analysis, how to collect and analyze both quantitative and qualitative data, and how AI tools can help optimize your strategies.

This lesson covers using SimilarWeb’s AI-driven insights to enhance data-driven marketing strategies.

In this video, I will show you how different key performance indicators, such as click-through rate, conversion rate, customer acquisition cost, return on investment and customer lifetime value, impact your business results.

This lesson shows how to use DeepSeek AI to detect emerging market trends, identify growth opportunities, and stay ahead of industry shifts.

Master competitor analysis using DeepSeek.

Use DeepSeek to conduct mission research and perform detailed SWOT analysis.

This lesson explains how to conduct a SWOT analysis using AI-driven insights to assess strengths, weaknesses, opportunities, and threats more objectively.

This lesson teaches how to use DeepSeek AI to segment audiences, understand customer needs, and refine positioning with data-driven insights.

Identify customers' pain points easily with the use of DeepSeek.

Emotional and rational part of decision making

Emotional and rational part of decision making.

AIDA, See-Think-Do-Care funnels

This lesson explains how to create a Customer Journey Map using AI to track touchpoints, optimize user experience, and identify drop-off points.

Exploring touch points, user actions, emotions, pain points, and possible solutions for them.

Exploring touch points, user actions, emotions, pain points, and possible solutions for them.

Exploring touch points, user actions, emotions, pain points, and possible solutions for them

Exploring touch points, user actions, emotions, pain points, and possible solutions for them

Students will learn the conceptual framework for creating "AI-ready" data, including the role of AI instructions, the importance of business context documentation, and how to structure data so that Copilot can deliver responses that are consistent, reliable, and aligned with organizational goals.

Learn how to write effective prompts that guide Copilot in cleaning, formatting, and standardizing your datasets for accurate analysis.

Discover how to use Copilot to automate advanced data preparation tasks like pivoting tables, parsing text, and generating calculated fields.

Explore how Copilot can assist in identifying outliers, validating data integrity, and maintaining high-quality datasets.

See how Copilot can help you write and customize Power Query M code to clean, transform, and prepare your data faster and with less manual effort.

Learn how to prompt Copilot to quickly summarize your data using key descriptive statistics like mean, median, mode, and standard deviation.

Discover how to use natural language prompts to create correlation matrices and identify trends in your data with the help of Copilot.

Explore how Copilot can assist you in performing hypothesis tests and interpreting results to support data-driven decisions.

Explore how to use DeepSeek to analyze marketing data and track performance.

Analyze customer feedback with AI to gain actionable insights.

Analyze ad performance with AI to gain actionable insights.

Discover practical techniques for fact-checking and verifying information to ensure accuracy and credibility in your work.

This lesson introduces key tools like Google Analytics (GA4), Looker Studio, and Power BI for effective marketing data visualization.

Learn how to generate charts and visuals in Excel using natural language prompts with Copilot.

Learn how to turn raw data into clear, insightful charts and dynamic dashboards that communicate your findings effectively.

Discover how Copilot enhances data storytelling through automatically generated, insightful, and interactive visuals.

Master how to customize, filter, and export your visuals for polished presentations and reports with Copilot’s help.

This lesson covers the core principles of storytelling with data and shows how Copilot can help you design clear, focused, and persuasive visualizations that communicate insights effectively.

This lesson teaches how to turn raw data from Google Analytics and SimilarWeb into engaging visuals using charts and graphs.

In this lesson, you’ll learn to build interactive dashboards in Google Analytics 4 (GA4).

Learn how to integrate multiple visuals into a cohesive, interactive Power BI dashboard that tells a compelling data story.

Discover how to configure automatic data refresh and real-time streaming to keep your Power BI reports up to date.

Explore best practices for publishing your dashboards securely and sharing them efficiently with your team and stakeholders.

Practice creating a comprehensive analysis report by applying hands-on techniques to organize, interpret, and present data effectively.

In this lesson, we’ll introduce predictive analytics and models, covering how they use historical data and AI to forecast future outcomes and guide business decisions.

In this case study, we explore how to use GA4’s "Insights" feature, then leverage predictive analytics with Gemini.

Discover how to use Copilot to model project outcomes under different scenarios (e.g., delays, resource changes) and generate actionable insights.

This lesson explores how to analyze financial performance and forecast scenarios using DeepSeek AI, supporting smarter budget and investment decisions.

This lesson teaches how to calculate key financial metrics like CAC, LTV, and ROI using DeepSeek AI for better marketing and business decisions.

Students will learn the conceptual approaches to measuring AI adoption, productivity gains, and return on investment, as well as the theoretical considerations for interpreting usage metrics and connecting them to business outcomes.