Looking to bring your AI knowledge to life in a visually powerful way? Our Hands-on Machine Learning Project – Auto Image Captioning for Social Media Course takes you deep into the fascinating world of machine-generated descriptions. With social media driving more engagement through visuals than ever, this course helps you grasp how AI can generate captions that not only describe but also engage, contextualise, and communicate effectively. The focus is sharply tuned to image captioning technology and its role in today’s media-driven, attention-tight landscape. Expect to work your way through a structured learning journey where you’ll explore the building blocks of machine learning and how these elements are applied in automated image captioning. Whether you're aiming to polish your ML project portfolio or understand how AI is quietly shaping the way content is created and consumed online, this course gives you just the right amount of edge — no gimmicks, no fluff, just what matters. All content is delivered fully online, making it a flexible and accessible way to deepen your understanding of AI-powered communication tools used across social media platforms. Learning Outcomes: Develop an auto image captioning system using machine learning. Preprocess image and caption data. Define and evaluate the model. Deploy your machine learning app on AWS EC2 instance.Gain real-world experience in machine learning app development. The Hands-on Machine Learning Project - Auto Image Captioning for Social Media Platform course is designed to give you a comprehensive understanding of how to develop an auto image captioning system using machine learning. The course covers topics such as importing libraries, preprocessing text and image data, defining and evaluating the model, and deploying your machine learning app on AWS EC2 instance. You'll have access to the caption dataset and image dataset for training and test purposes, providing you with hands-on experience in machine learning app development. This course is perfect for aspiring data scientists, machine learning engineers, and developers who want to gain real-world experience in machine learning app development. With the skills and knowledge gained from this course, you'll be able to create your own auto image captioning system and start a career in the exciting field of machine learning. Hands on Machine Learning Project - Auto Image Captioning for Social Media Course Curriculum Section 01: Introduction Introduction to Course Section 02: Building the Auto Image Captioning Import the Libraries Accessing the Caption Dataset for Training Accessing the Image DataSet for Training Preprocessing the Text Data Pre-Process and Load Captions Data Loading the Captions for Training and Test Data Preprocessing of Image Data Loading Features for Train and Test Dataset Text Tokenization and Sequence Text Data Generators Define the Model Evaluation of Model Test the Model Section 03: Deployment of Machine Learning App Create Streamlit App Streamlit Prediction Test Streamlit App Deploy Streamlit on AWS EC2 Instance How is the course assessed? Upon completing an online module, you will immediately be given access to a specifically crafted MCQ test. For each test, the pass mark will be set to 60%. Exam & Retakes: It is to inform our learners that the initial exam for this online course is provided at no additional cost. In the event of needing a retake, a nominal fee of £9.99 will be applicable. Certification Upon successful completion of the assessment procedure, learners can obtain their certification by placing an order and remitting a fee of __ GBP. £9 for PDF Certificate and £15 for the Hardcopy Certificate within the UK ( An additional £10 postal charge will be applicable for international delivery). CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Aspiring data scientists. Machine learning engineers. Developers interested in machine learning app development. Anyone interested in the field of machine learning. Professionals looking to upskill in the latest technology. Requirements There are no formal entry requirements for the course, with enrollment open to anyone! Career path Data Scientist: £40,000 to £80,000 per year. Machine Learning Engineer: £55,000 to £90,000 per year. Software Developer: £30,000 to £60,000 per year. Artificial Intelligence Developer: £40,000 to £80,000 per year. Computer Vision Engineer: £45,000 to £85,000 per year. Certificates Certificate of completion Digital certificate - £9 You can apply for a CPD Accredited PDF Certificate at the cost of £9. Certificate of completion Hard copy certificate - £15 Hard copy can be sent to you via post at the expense of £15.
Learn Excel for Business Accounting with our comprehensive course. From basic worksheet creation to advanced functions like pivot tables, charts, and data analysis, master Excel's features for efficient accounting tasks. Ideal for business professionals and students looking to enhance their Excel skills for financial management.
Unlock the power of data with our 'Sales Analysis in Excel' course. Dive into e-commerce sales analysis and craft insightful sales analysis reports. Discover how to manipulate sales data, forecast trends, and automate workbook functionality. Elevate your career with advanced Excel skills! Learning Outcomes of Sales Analysis in Excel: Master data manipulation techniques for e-commerce sales analysis. Create comprehensive sales reports with Excel's advanced functions. Visualize data effectively using charts, PivotTables, and PivotCharts. Forecast future trends and make data-driven decisions. Automate repetitive tasks to boost efficiency and productivity. Why buy this Sales Analysis in Excel? Unlimited access to the course for forever Digital Certificate, Transcript, student ID all included in the price Absolutely no hidden fees Directly receive CPD accredited qualifications after course completion Receive one to one assistance on every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Certification After studying the course materials of the Sales Analysis in Excel there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this course for? Business analysts seeking to enhance their data analysis skills. Sales professionals aiming to leverage Excel for deeper insights. Aspiring data scientists interested in e-commerce sales data. Students and graduates looking to gain a competitive edge. Entrepreneurs striving to optimize their sales strategies. Prerequisites This Sales Analysis in Excel does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Sales Analysis in Excel was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Career path Data Analyst: £25,000 - £40,000 Per Annum Business Analyst: £30,000 - £50,000 Per Annum Sales Analyst: £25,000 - £45,000 Per Annum Financial Analyst: £30,000 - £55,000 Per Annum Market Research Analyst: £25,000 - £40,000 Per Annum Excel Specialist: £22,000 - £35,000 Per Annum Course Curriculum Modifying a Worksheet Insert, Delete, and Adjust Cells, Columns, and Rows 00:10:00 Search for and Replace Data 00:09:00 Use Proofing and Research Tools 00:07:00 Managing Workbooks Manage Worksheets 00:05:00 Manage Workbook and Worksheet Views 00:07:00 Manage Workbook Properties 00:06:00 Working with Functions Work with Ranges 00:18:00 Use Specialized Functions 00:11:00 Work with Logical Functions 00:23:00 Work with Date & Time Functions 00:08:00 Work with Text Functions 00:11:00 Working with Lists Sort Data 00:10:00 Filter Data 00:10:00 Query Data with Database Functions 00:09:00 Outline and Subtotal Data 00:09:00 Analyzing Data Welcome to the Course 00:03:00 Apply Intermediate Conditional Formatting 00:07:00 Apply Advanced Conditional Formatting 00:05:00 Visualizing Data with Charts Create Charts 00:13:00 Modify and Format Charts 00:12:00 Use Advanced Chart Features 00:12:00 Using PivotTables and PivotCharts Create a PivotTable 00:13:00 Analyze PivotTable Data 00:12:00 Present Data with PivotCharts 00:07:00 Filter Data by Using Timelines and Slicers 00:11:00 Working with Multiple Worksheets and Workbooks Use Links and External References 00:12:00 Use 3-D References 00:06:00 Consolidate Data 00:05:00 Creating Sparklines and Mapping Data Create Sparklines 00:07:00 MapData 00:07:00 Forecasting Data Determine Potential Outcomes Using Data Tables 00:08:00 Determine Potential Outcomes Using Scenarios 00:09:00 Use the Goal Seek Feature 00:04:00 Forecasting Data Trends 00:05:00 Using Lookup Functions and Formula Auditing Use Lookup Functions 00:13:00 Trace Cells 00:09:00 Watch and Evaluate Formulas 00:08:00 Automating Workbook Functionality Apply Data Validation 00:13:00 Search for Invalid Data and Formulas with Errors 00:04:00 Work with Macros 00:18:00
Dive into the world of structured data manipulation and management with the SQL course. Explore database fundamentals, constraints, functions, clauses, and advanced concepts such as joins and wild cards. From creating to altering databases, this course empowers you with a versatile skill set to navigate and manipulate data efficiently using SQL. Learning Outcomes: Acquire a foundational understanding of SQL, its role, and importance in database management. Master the creation, organization, and manipulation of databases. Implement constraints to ensure data integrity and enforce business rules. Utilize SQL functions to transform and manipulate data effectively. Employ SQL clauses to filter, sort, and analyze data for specific purposes. Perform alterations on databases and tables to accommodate evolving data needs. Explore the intricacies of joins and relationships to retrieve and consolidate data from multiple tables. Harness the power of wild cards to perform flexible and dynamic data searches. Why buy this SQL Database Management? Unlimited access to the course for forever Digital Certificate, Transcript, student ID all included in the price Absolutely no hidden fees Directly receive CPD accredited qualifications after course completion Receive one to one assistance on every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Certification After studying the course materials of the SQL Database Management there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this course for? This SQL Database Management does not require you to have any prior qualifications or experience. You can just enrol and start learning. Aspiring Database Administrators and SQL Developers. Software Engineers Seeking Proficiency in SQL for Application Development. Data Analysts and Business Intelligence Professionals. IT Professionals Looking to Enhance Their Database Management Skills. Prerequisites This SQL Database Management was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Career path SQL Developer - $70,000 to $110,000/year. Database Administrator - $60,000 to $100,000/year. Data Analyst - $60,000 to $90,000/year. Business Intelligence Developer - $70,000 to $120,000/year. Database Manager - $80,000 to $130,000/year. Course Curriculum Unit 01: Introduction Module 01: Introduction 00:09:00 Module 02: Xampp (PHPmyadmin) installation 00:05:00 Unit 02: Getting Started With Databases Module 01: Creating a database 00:02:00 Module 02: Creating Tables 00:03:00 Module 03: More about Tables 00:01:00 Module 04: Inserting into Tables 00:03:00 Module 05: Updating and Deleting 00:04:00 Module 06: Data Types 00:03:00 Module 07: Conditional and comparison operators 00:04:00 Unit 03: Constraints Module 01: Primary Keys 00:05:00 Module 02: Foreign Keys 00:07:00 Module 03: Indexes 00:03:00 Module 04: Unique Indexes 00:03:00 Unit 04: SQL Functions Module 01: Functions (Part: 01) 00:02:00 Module 02: Functions (Part: 02) 00:03:00 Unit 05: SQL Clauses Module 01: Basic Queries and Where Claueses 00:04:00 Module 02: Order by 00:03:00 Module 03: Distinct 00:05:00 Module 04: In 00:04:00 Module 05: Group by 00:07:00 Unit 06: Alters Module 01: Alters (Part: 01) 00:03:00 Module 02: Alters (Part: 02) 00:05:00 Module 03: Alters (Part: 03) 00:05:00 Unit 07: All about Joins and SQL Relations Module 01: Aliases 00:04:00 Module 02: Inner joins 00:07:00 Module 03: Left and right joins 00:06:00 Module 04: Unions 00:06:00 Unit 08: Wild Cards Module 01: Wild Cards (Part: 01) 00:07:00 Module 02: Wild cards (Part: 02) 00:05:00 Unit 09: More Advanced Areas of SQL Module 01: Views 00:09:00 Module 02: Creating Functions 00:07:00 Module 03: Triggers 00:09:00 Assignment Assignment - SQL 00:00:00
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Master cash flow management with Microsoft Excel in our comprehensive course. Learn internal controls, cash receipts and disbursements management, bank reconciliations, petty cash handling, and more. Ideal for professionals seeking to enhance their financial management skills using Excel.
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