Season 8, Episode 01 -
The border between the USA and Mexico is the busiest in the world. This series follows the work of America's Customs and Border Protection agency, whose job is to defend the border and stop terrorists, drugs and illegal weapons from entering the country.
Napisane przez: charlie - 20-01-2026, 09:11 - Forum: Propozycje
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Gemini For Developers - Google Generative Ai - For Beginners
Published 1/2026
Created by K8s Point - Training House for GCP, AI & Kubernetes
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English | Duration: 43 Lectures ( 3h 36m ) | Size: 2.3 GB[/center]
A Developer's Guide to working with Gemini, Google AI Studio, and Vertex AI Studio - Start you AI Development Here What you'll learn
✓ Use Gemini models effectively as a developer, not just as a chat interface
✓ Build AI-powered applications using Gemini APIs
✓ Work with Google AI Studio for rapid prototyping and experimentation
✓ Use Vertex AI Studio along with other GCP options
✓ Understand and implement different authentication methods in GCP to access a Model
✓ Use the Generative AI SDK (Gen AI SDK) with extensive, hands-on examples
✓ Understand different Gemini Models and Model lifecycle
✓ Gemini CLI - command line agent from Gemini
✓ Gemini Code Assist - Enhance your productivity in coding
✓ Control model parameters (Temperature, safety setting, tokens) while accessing a Gemini model
✓ Cost Control while accessing a model with token restriction
✓ Create images with Nano Banana
✓ Generate video using Veo models Requirements
● Very Basic of GCP and Python Description
Generative AI is rapidly transforming how modern applications are built, and Gemini sits at the core of Google's AI ecosystem. Whether you are building intelligent assistants, developer tools, automation workflows, or production-ready AI applications, Gemini is the foundation every developer needs to master.
This course is designed specifically for developers who want to use Gemini to build real-world AI-powered applications, not just experiment with prompts.
What You'll Learn in This Course
• Use Gemini models effectively as a developer, not just as a chat interface
• Build AI-powered applications using Gemini APIs
• Work with Google AI Studio for rapid prototyping and experimentation
• Use Vertex AI Studio for enterprise-grade development and deployment
• Understand and implement different authentication methods in GCP, including
• API keys
• Service accounts
• Application Default Credentials (ADC)
• Use the Generative AI SDK (Gen AI SDK) with extensive, hands-on examples
• Structure prompts, system instructions, and model interactions for real applications
• Move from local development to cloud-based, scalable AI solutions
Tools & Platforms Covered
This course provides hands-on experience with
• Gemini Models
• Google AI Studio
• Vertex AI Studio
• Google Cloud Platform (GCP)
• Generative AI SDKs with multiple real-world examples
All concepts are demonstrated through practical coding examples, focusing on how developers actually build and integrate AI into applications.
Why Gemini for Developers?
Gemini is not just another large language model-it is deeply integrated into Google's cloud and developer stack. It supports
• Multimodal inputs (text, images, code)
• Tool usage and function calling
• Tight integration with Google Cloud services
• Scalable, secure deployment for production workloads
Understanding Gemini gives you a significant advantage when building next-generation AI applications on Google Cloud. Who this course is for
■ Developers who wants to learn how to use AI
■ Wanting to use Gemini outside chatbot and program AI applications
■ Understand how Generative AI works with Gemini
Napisane przez: charlie - 20-01-2026, 09:10 - Forum: Propozycje
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Google Analytics Tutorial With Chatgpt: Ga4 Full Course
Published 1/2026
Created by Being Commerce
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All | Genre: eLearning | Language: English | Duration: 18 Lectures ( 7h 54m ) | Size: 6.2 GB[/center]
Master Google Analytics 4 in Just Hours: Discover the ChatGPT Shortcut to convert Data Analysis into Actionable Tips! What you'll learn
✓ Understand the complete GA4 interface and core concepts
✓ Learn how to set up GA4 from scratch without confusion
✓ Connect GA4 to WooCommerce for eCommerce tracking
✓ Use ChatGPT to generate insights, prompts, and reports
✓ Understand engagement metrics, session definitions, and user identification
✓ Work with primary and secondary dimensions
✓ Track real-time data and life cycle stages
✓ Set up scrolling tracking, events, and custom goals with GTM
✓ Build custom dashboards and reports
✓ Master free form, funnel, and path exploration
✓ Analyze browser, location, device, and screen resolution data
✓ Track product performance and checkout flow for eCommerce
✓ Monitor UTM performance and ad campaign impact
✓ Gain insights into user behavior, site search, and landing pages Requirements
● No prior experience in GA4 or ChatGPT required
● Willingness to learn and experiment
● Laptop or desktop recommended for hands-on practice Description
Businesses have more data than ever, yet most don't know how to read it or use it to make real decisions. This course solves that problem by combining Google Analytics 4 and ChatGPT to turn raw website data into clear actions, marketing fixes, revenue ideas, and growth strategy.
This Google Data Analytics course is built step by step using real dashboards, practical reports, and real business cases. You'll not only understand where your users are coming from-but also why they stay, what makes them leave, and what changes you should make immediately.
You'll also learn how to talk to ChatGPT like an analyst. You will be able to paste your GA4 data and ask for
improvements in campaigns
conversion issues
landing page suggestions
hidden patterns in user behavior
reports for clients and managers
You don't need to be a tech expert or a data scientist. Everything is explained in plain language. Each lesson comes with a real-world use case so that you can apply it the same day on your website, YouTube channel, blog, store, or client project.
If you skip this course, you'll stay stuck looking at numbers that don't make sense. You'll miss which pages are losing sales, which campaigns are wasting money, and what buyers really do before purchasing. Your competitors who use Google Analytics and AI will make faster decisions-and get better results. Once you finish, you'll be able to
• read GA4 reports clearly
• find problems in user experience
• use ChatGPT to write insights, reports, and strategies
• track the right data using dimensions, filters, and goals
• measure campaigns correctly using UTMs
• present data with authority in client or team meetings
This training is not just about dashboards-it's about action. You'll know exactly what steps to take after reading the data. It will help you improve marketing results, increase conversions, and confidently answer questions from clients or team members about performance.
You'll get practical cases, real business reports, funnels, landing page analysis, user journey tracking, and data interpretation powered by AI. That means no guessing-only decisions based on evidence. By the end, you'll have your own data-driven workflow ready to apply anywhere.
If you want to earn a Google Analytics certification, work as an analyst, run ad campaigns, or grow your business-this course will give you the skills to stand out. The combination of Google Analytics 4 + AI is not just useful-it's now expected in professional environments.
Data is only powerful when you know how to read it and take action. This course will show you how. Who this course is for
■ Anyone who wants to understand and master Google Analytics 4
■ Business owners who want to track and optimize website traffic
■ Digital marketers running ads or SEO campaigns
■ eCommerce owners using WooCommerce or Shopify
■ Freelancers and marketing consultants who want to offer GA4 as a service
■ Bloggers and content creators who want to measure performance
■ Students or professionals who want to future-proof their analytics skills
Napisane przez: charlie - 20-01-2026, 09:09 - Forum: Propozycje
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Python For Data Science: The Complete Data Science Bootcamp
Published 1/2026
Created by Muhammad Riaz Uddin
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All | Genre: eLearning | Language: English | Duration: 44 Lectures ( 3h 54m ) | Size: 3 GB[/center]
Python for Data Science: Perform Data Analysis, Visualization, and Machine Learning With Python What you'll learn
✓ What is Data Science?
✓ Why Python for Data Science?
✓ Introduction to Jupyter Notebooks
✓ Variables, Data Types, and Operators
✓ Control Flow: Conditionals and Loops
✓ Working with Modules and Packages
✓ Error Handling and Assertions
✓ Introduction to Pandas: Series and DataFrames
✓ Reading & Writing Data (CSV, Excel, JSON)
✓ Data Cleaning & Preprocessing
✓ Handling Missing Values & Duplicates
✓ Data Transformation & Feature Engineering
✓ Creating, Indexing, and Slicing Arrays
✓ Mathematical Operations with NumPy
✓ Useful NumPy Functions for Data Science
✓ Introduction to Data Visualization
✓ Plotting with Matplotlib
✓ Seaborn for Statistical Graphics
✓ Advanced Charts: Heatmaps, Pairplots, and Violin Plots
✓ Identifying Patterns, Outliers & Trends
✓ Using Pandas Profiling & Sweetviz Requirements
● No prior data science experience needed Description
Python for Data Science is the most in-demand skill for data analysts, data scientists, and machine learning engineers. This course is a complete, beginner friendly, and practical guide to learning data science using Python - no prior experience required.
You'll learn how to analyze data, clean datasets, visualize insights, and work with real-world data using the most popular Python libraries used by professionals in the industry.
This course focuses on hands-on learning, helping you build real data science skills you can apply immediately in projects, jobs, and interviews.
What You'll Learn
• By the end of this course, you will be able to
• Use Python for data science and data analysis
• Work confidently with NumPy and Pandas
• Clean, transform, and manipulate real world datasets
• Perform Exploratory Data Analysis (EDA)
• Visualize data using Matplotlib and Seaborn
• Understand basic statistics for data science
• Apply Python to solve real business and data problems
• Build a strong foundation for machine learning and AI
Why This Course Works
• Beginner friendly with step by step explanations
• Hands-on coding exercises and practice datasets
• Real world examples used by data professionals
• Clear explanations without unnecessary complexity
• Designed for career growth and job readiness
Why Learn Python for Data Science?
Python is the #1 programming language for data science, analytics, and machine learning. By mastering Python for data science, you open the door to high paying roles, data driven decision making, and advanced technologies like AI and machine learning.
Enroll now and start your journey into Python for Data Science with confidence. Who this course is for
■ Anyone who wants to work with data using Python
■ Students preparing for data science or analytics careers
■ Beginners who want to learn Python for Data Science
■ Professionals looking to switch into data analytics or data science
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