The Complete Artificial Intelligence and ChatGPT Course

Explore artificial narrow intelligence (weak AI), artificial general intelligence, and artificial super intelligence (ASI) with examples like Siri and HAL, and examine ethical challenges and future research.

Explore the differences and connections between AI, machine learning, and deep learning, and see how neural networks drive image, text, and recommendation tasks.

Explore how Netflix uses machine learning to optimize bandwidth and regional delivery, and practice detecting web-traffic anomalies with a csv dataset and Streamlit using content delivery networks.

Explore supervised, unsupervised, and reinforcement learning and their business applications. See how labeled data and regression predict prices from height, clustering customers, and reinforcement-based optimization for supply chains and trading.

Apply machine learning clustering to mall customer data from a kaggle dataset. Upload mall_customer.csv to an interactive workbook, generate five clusters, and review Python-based code on GitHub for marketing insights.

Learn how computer vision enables machines to interpret images and videos, exemplified by Tesla’s eight-camera system, and apply image classification, object detection, and segmentation across social media, retail, and hiring.

Build an American Sign Language detector with computer vision using Teachable Machine; train a three-word classifier (I, love, you) from webcam samples and test live.

Discover how cloud-based AI infrastructure enables scalable, affordable models using AWS, Google Cloud, and Azure, with GPUs, TPUs, and CPUs, plus AutoML, transfer learning, and TensorFlow.

AutoML automatically tests multiple algorithms and optimizes hyper-parameters to meet business goals, reducing time and cost. Transfer learning lets you fine-tune large pre-trained models on small data.

Explore AI's role across industries, government, and society, from automation and job-market shifts to personalized services, healthcare, education, mobility, finance, and ethical governance.

Explore nine AI challenges, including data quality and bias, explainability, privacy, generalization, resource demands, governance, and human AI collaboration, and discuss responsible, ethical deployment.

Explore seven data roles—data analyst, data scientist, machine learning engineer, data engineer, BI analyst, database administrator, and data architect—and how they use SQL to turn data into business decisions.

Explore prompt engineering techniques to maximize value from large language models like ChatGPT, with hands-on prompts, exercises, and a downloadable set of 1000 prompts.

Explore prompt engineering, comparing basic and advanced prompts. Learn how questions and structured outputs boost AI quality, efficiency, and contextual accuracy.

Sign up for ChatGPT with email, Apple ID, or Google; log in to the intuitive interface, and compare free versus plus plans with GPT-4, browsing, and plugins.

Explore risks and benefits of using ChatGPT, including copyright concerns, academic integrity checks, and confidently wrong outputs, while leveraging idea generation for business, research, and interview prep.

Explore directional prompting and output formatting to craft more precise prompts in ChatGPT. Use concrete examples, such as web development language use cases, to guide results.

Explore few-shot prompting techniques, compare zero-shot and one-shot prompts, and apply fusion prompting to improve consistency. Learn to design prompts for knowledge extraction, task classification, and role setup.

Combine directional prompting, output formatting, role-based prompts, and few-shot examples to craft a cohesive, engaging prompt suite for a promo email and course marketing with ChatGPT.

Practice combining directional prompting, roles, future prompting, and output formatting to craft a complex prompt; apply it to designing an eco-friendly email campaign with subject, intro, and call to action.

Craft an engaging email campaign for a new line of sustainable kitchenware using few-shot examples, including a subject line, persuasive intro, and call-to-action with a 20% discount for 48 hours.

Explore chain-of-thought prompting that breaks complex tasks into steps to maintain coherence, and reveal AI reasoning through step-by-step prompts guiding product launch stages.

Explore how to prompt in different styles and tones to rewrite text effectively. Use these techniques to craft emails in your own voice or in others' styles for daily work.

Learn how to use chatgpt to extract and structure data from text, then present it in markdown tables or other formats, guiding output with simple prompts.

Explore text classification and sentiment analysis using prompts to categorize text into negative, positive, or neutral. See real-world uses from spam filters to brand sentiment and stock movement.

Discover additional prompting tips to extend ChatGPT responses using continue, format outputs with markdown or tables, and even critique your own script with a role-based prompt to improve clarity.

Understand how large language models generate the next word from data, using a language model over a vast vocabulary, and learn their evolution from transformers to ChatGPT with human feedback.

Show how prompts are represented as word vectors and tokenized into tokens. Demonstrate how ChatGPT uses a probability distribution over the vocabulary to predict the next word and generate text.

Discover how ChatGPT plugins connect to external data via third-party APIs like Zillow and Wolfram Alpha, enabled through the plugin store and browsing with Bing.

Install the pro version of ChatGPT and practice a math topic, like trigonometry or linear equations, using the Wolfram plugin to learn how to interact with WolframAlpha.

Explore the edX plugin for ChatGPT to search boot camps, courses, and content on edX, and generate a tailored six-month learning path to become a digital marketing manager.

Install the ADX plugin in ChatGPT and complete an exercise to build your statistics learning path by explaining your background and knowledge level, then share results with the community.

Learn to install the Kayak plugin for ChatGPT and use plain English prompts to search flights, stays, and hotels, with practical pricing caveats and flight insights.

Test the Kayak plugin to find the exact trip route from your city to New York and explore the pricing strategy it reveals.

Explore using the Zillow plugin for ChatGPT to search Kansas properties by market value, three bedrooms, and yard, then export results to a markdown table.

Install the Zillow plugin from the plugin store, search for properties within a defined price range, detail the house structure, and find three to four matches using Zillow's capabilities.

Explore how the podcast search plugin for ChatGPT lets you find podcasts by name in chat, returning main URLs for shows like Lex Fridman and Joe Rogan.

Explore ChatGPT alternatives like Bing Chat and Google's Bard, and examine the innovator's dilemma and the costs of creating and maintaining AI platforms, with practical exercises.

Explore Google's Bard, its multi-solution prompts, and how it compares to ChatGPT and Bing. Test at bard.google.com, note US availability, and its resource limitations for research.

Experiment with Bard to research your paper or blog, overcome access limits if possible, gather resources, and share your results with the community through a link.

Explore how Bing Chat integrates ChatGPT in Bing search, compare creative, balanced, and precise modes, and see how it provides external references for research prompts.

research topics for your blog using Bing chat, compare results with Bard, and collect resources to structure the post toward engaging blogs.

Explore basic linear regression in Excel to model sales from rainfall, using scatter charts, trend lines, and the lineest formula for data-driven insights.

Use the nesting doll data in Excel to build a basic linear regression model and chart, then add a formula to predict price for a 3.46 inch doll.

Master advanced regression in Excel with the data analysis toolpak, using rain data to build a line of best fit and explore residuals and least-squares concepts.

Master advanced regression analysis in Excel, including residual sum of squares, SST, SSR, and ANOVA, to interpret R-squared, correlation, and the intercept and slope.

Explore advanced linear regression in Excel, analyzing mean squares, ANOVA significance, p values below 0.05, and confidence intervals for intercept and slope, with notes on residuals and upcoming multiple regression.

Explore advanced regression analysis in Excel using nesting doll data to derive the regression formula, add a trend line for price forecast, and interpret r-squared, f, and the 5.37-inch height.

Explore how to perform advanced regression analysis in Excel, calculate R-squared, add trendlines and formulas, interpret significance F, and determine the slope and 95% confidence interval.

Learn to perform a two-variable multiple regression in Excel using rain X1 and temperature X2 to predict sales Y, and interpret R squared, adjusted R squared, F, and p-values.

Explore multiple regression analysis in Excel using nesting doll data to predict price from height (x1) and color count (x2), and assess the statistical significance of x2.

Demonstrates inserting an Excel regression analysis, deriving the multi-variable formula y = mx1 + mx2 + b, and assessing x2 (colors) significance via its high p-value.

Ensure regression models use data with p-values below 0.05 for significance. Maintain at least 10 observations per variable, remove outliers, and use representative samples from multiple locations with back testing.

Learn to create incredible images with AI using DALL-E and Midjourney, and practice basic and advanced features to enhance visual content for personal and corporate branding on social media.

Learn to navigate Midjourney interface, craft prompts, compare private chats with newcomers, and use upscaling and versioning (u1–u4, v1–v4) for faster, higher quality images.

Learn how to prompt midjourney with an image by uploading a starting image and adding text prompts to guide AI-generated scenes, then upscale and create variations.

Apply your module knowledge to craft Midjourney prompts, using image or text inputs, to render a car on Mars with a purple sky and aliens in the background.

Showcases the Midjourney prompt for a sci fi image: a photo of a car on Mars with a neon vaporwave sky and spaceships approaching, inviting learners to beat this result.

Discover how to use Mid Journey's describe feature to upload an image, generate multiple prompts, select a prompt, and refine details like a missing city to match your target image.

explore advanced Midjourney settings, including version options (5.1, Niji 4/5), style levels (low, medium, high), remix and private modes, and suffix/prefix prompts to speed up image generation.

Discover how to apply negative prompting in Midjourney to remove unwanted elements from images. Use --no to exclude items like fog, dust, or text on logos and improve results.

Explore how to use Midjourney prompts and comments to control output, including negative prompting, model version (v4/v5), aspect ratio options, chaos control, stop timing, and creative mode.

Advance your Midjourney skills by blending images, prompting with images, and layering effects to generate a night forest scene, including a high quality 3d forest, in creative or test modes.

Engage in an advanced Midjourney exercise to craft an Amazon rainforest scene with a realistic, rainy, dark, spooky atmosphere in high definition, using chaos 50 and aspect ratio 7.74.

Explore DALL-E 2's account setup and interface, including prompts, credits, image uploads, and variations, and compare it with Midjourney to spark prompt ideation and generate captivating visuals.

Explore effective prompt designs for DALL-E 2, using specific, colorful descriptions and defined styles to generate high-quality images, with examples like a Cesar bust with VR goggles and subsequent variations.

Practice prompts and variations in DALL-E 2 by generating a painting of yourself from a selfie, exploring multiple styles like vaporwave, and sharing results in the next video.

Explore an A/B exercise with DALL-E 2 by uploading a selfie and testing image edits like hair generation and facial feature adjustments.

Explore DALL-E 2 inpainting and outpainting, removing image elements and generating context-driven fills, including creating a vaporwave Colosseum and applying object-specific edits like sunglasses, with options to download results.

Combine prompting, image upload, in-painting, and out-painting to craft your perfect image, then experiment with midjourney image and expand famous art like the Mona Lisa to see surrounding context.

Explore the final advanced exercise on DALL-E 2, featuring in-painting and out-painting techniques to create a massive, imaginative image and invite peer feedback.

Explore voice cloning and digital avatars, learning how to create lifelike voices and avatars for marketing, tutorials, and customer support, with hands-on exercises using D-ID, Resemble AI, and ElevenLabs.

Learn to create AI avatars with D-ID by uploading photos, scripting dialogue, and optionally adding voices. Explore pre-made avatars, watermarking, pricing, and API access for AI presenters and promotional videos.

Practice a quick exercise with D-ID by creating a free account, uploading images, and experimenting with voices to explore digital editors.

Explore Resemble.ai's voice cloning tools, including rapid voice cloning and creating a custom voice from 25 sentences, then deploy text-to-speech in projects or marketplace voices.

Learn to clone your own voice with Resemble AI by creating a default custom voice, recording 25 sentences, and staying under charge limits by capturing at least seven seconds.

Explore ElevenLabs' instant AI voice cloning and speech synthesis, customize voices in the voice lab by gender, age, and accent, and compare with Resemble AI using short MP3 samples.

Explore additional ai products and applications for your business, including kabier for music videos, chatbase for website chat, autogpt for text and code, and character.ai for human-like responses.

Discover how Ralph.ai, built around ChatGPT with fine tuning, boosts copywriting for emails, LinkedIn, and marketing by generating polished messages, outreach emails, and posts.

Create a free account on Ralph AI and craft a LinkedIn post about your topic of interest, such as general marketing strategy, to boost your LinkedIn presence with AI-generated content.

Discover why companies need a data strategy to manage exponential data growth, prevent value loss from data without information, and boost operational efficiency and risk management.

Create a chatbot for any website or your portfolio content and share it with the community to see who built the best bot, with a free start-and-test setup.

Automate research and writing with Auto-GPT, a GPT-based tool that searches the web and compiles findings into a report. Learn Windows setup and API key integration to run Auto-GPT end-to-end.

Explore character.ai, a set of chatbots that imitate characters like Mario or Elon Musk, letting you chat with favorites without an account. Try premium features for more chat options.

Explore how AI informs business strategy, set AI KPIs, and select solutions and vendors while addressing ethics, compliance, risk monitoring, and performance.

Explore ai's role in strategy by aligning initiatives with objectives and improving decision making. Enhance customer experience and operations with chatbots, recommendation engines, and automation.

Align AI initiatives with business objectives by setting clear goals and identifying suitable technologies. Develop a data-driven roadmap, address ethics and governance, and measure ROI to optimize AI investments.

Identify AI opportunities to enhance decision-making, automate workflows, and boost customer experience across finance, healthcare, and retail with chatbots, NLP, and computer vision.

Build a data-driven organization and culture by improving data quality, collection, and management. Empower decision makers with data literacy, visualization tools, dashboards, and governance to fuel AI-driven innovation.

Compare AWS, GCP, and Azure to select the right AI vendor for your goals. Assess scalability, integration, security, and ROI through vendor capabilities like SageMaker, AutoML, and Azure Cognitive Services.

Develop and implement ethics, governance, and compliance for AI by establishing principles, governance frameworks, policies, and monitoring to ensure data privacy, fairness, transparency, accountability, and responsible AI across the organization.

Monitor data drift as training data distributions shift over time, causing inaccurate predictions and reduced value; implement automated retraining, validation pipelines, and detection algorithms to maintain model performance.

Track KPIs to measure AI ROI against business objectives, and continuously monitor and improve AI models, data pipelines, and security with robust evaluation and incident plans.