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This comprehensive course unlocks the boundless potential of LangChain, Pinecone, OpenAI, and LLAMA 2 LLM, guiding you from AI novice to expert. Dive into 15 different practical projects, from dynamic chatbots to data analysis tools, and cultivate a profound understanding of AI, empowering your journey into the future of language-based applications.

Boost Your Career By Enrolling In This Functional Skills IT & Python Programming Bundle 5 in 1 Functional Skills IT Bundle Improve your knowledge of Functional Skills with this Functional Skills IT & Python Programming bundle. This Functional Skills bundle is designed to build your competent skill set to enable the best possible outcome for you. Our Functional Skills bundle is ideal for those who aim to be the best in their fields. Designed for success, this Functional Skills course covers everything from basics to advanced topics in Functional Skills. Each lesson on this Functional Skills course is crafted for easy understanding, enabling you to become proficient in Functional Skills. Whether you are a beginner or looking to sharpen your existing skills, this Functional Skills is the ideal choice. So, enrol now in this Functional Skills Bundle Today to advance your career! This Functional Skills Bundle Contains 5 of Our Premium Courses: Course 01: Functional Skills IT Course 02: Essential IT Skills Level 2 Course 03: Diploma in Python Programming at QLS Level 5 Course 04: Microsoft SQL Server Development for Everyone Course 05: Electronic Device Maintenance and Troubleshooting Why Choose Our Functional Skills IT Course? Get a Free QLS QLS-endorsed certificate upon completion of this course Get a free student ID card with this Bundle Get instant access to this Bundle course. Learn from anywhere in the world This bundle course is affordable and simple to understand The Functional Skills course is an entirely online, interactive lesson with voiceover audio Lifetime access to the course materials The Functional Skills comes with 24/7 tutor support Assessment Process of Functional Skills Bundle Once you have completed all the courses in the Functional Skills bundle, you can assess your functional skills and knowledge with an optional assignment. Our expert trainers will assess your assignment on Functional Skills and give you feedback afterwards. CPD 200 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Please Note: This is not a regulated course. To get qualified, you may choose: Functional Skills Qualification in ICT at Level 2 Functional Skills Qualification in Information & Communication Technology (ICT) at Level 1 Functional Skills Qualification in Maths at Level 1 Functional Skills Qualification in Mathematics at Level 1 Functional Skills Qualification in English at Level 1 Functional Skills Qualification in English at Entry 1 / ICT at Level 2 / Mathematics at Entry 1 IGCSE English IGCSE Maths IGCSE Career path Functional Skills Certificates Digital certificate Digital certificate - £10 Hard copy certificate Hard copy certificate - £29 You can order your hard copy certificates at the cost of £29 (for each course).

Overview This comprehensive course on Learn to Use Python for Spatial Analysis in ArcGIS will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Learn to Use Python for Spatial Analysis in ArcGIS comes with accredited certification, which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast track your career ladder. How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is This course for? There is no experience or previous qualifications required for enrolment on this Learn to Use Python for Spatial Analysis in ArcGIS. It is available to all students, of all academic backgrounds. Requirements Our Learn to Use Python for Spatial Analysis in ArcGIS is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path Having these various qualifications will increase the value in your CV and open you up to multiple sectors such as Business & Management, Admin, Accountancy & Finance, Secretarial & PA, Teaching & Mentoring etc. Course Curriculum 1 sections • 12 lectures • 02:15:00 total length •Module 01: Introduction of batch processing: 00:15:00 •Module 02: Link a series of processes to one: 00:12:00 •Module 03: Animation of feature data 1: 00:11:00 •Module 04: Animation of feature data 2: 00:13:00 •Module 05: Animation of raster data 1: 00:13:00 •Module 06: Animation of raster data 2: 00:10:00 •Module 07: Collect data and Batch processing: 00:10:00 •Module 08: Hydrological processing with python script: 00:11:00 •Module 09: Map Algebra and Math 1: 00:10:00 •Module 10: Map Algebra and Math 2: 00:10:00 •Module 11: Display XY, Select and Export: 00:10:00 •Module 12: Surface and Interpolation: 00:10:00

Dive into the fascinating world of Python programming where you’ll master the fundamentals of classes, methods, and object-oriented programming (OOP) with clarity and confidence. This course is tailored for those eager to deepen their coding knowledge and build robust, organised software using Python’s powerful OOP features. You’ll explore how to create your own classes, design methods that interact seamlessly, and understand key principles such as inheritance, encapsulation, and polymorphism—all explained in an accessible and engaging manner. Whether you’re a budding coder or someone aiming to refine your programming toolkit, this course delivers content in a clear, step-by-step style that makes complex concepts feel approachable. Along the way, expect a few witty explanations to keep things lively while maintaining professional precision. With each lesson, you’ll find yourself thinking more like a programmer and less like a bewildered keyboard wrangler. Perfectly suited for online learners, this course invites you to grow your Python skills at your own pace, with materials designed to enhance your understanding and fuel your curiosity. Expert Support Dedicated tutor support and 24/7 customer support are available to all students with this premium quality course. Key Benefits Learning materials of the Design course contain engaging voiceover and visual elements for your comfort. Get 24/7 access to all content for a full year. Each of our students gets full tutor support on weekdays (Monday to Friday) Course Curriculum: Here is a curriculum breakdown of the Code with Python: Learn Classes, Methods and OOP course: Section 01: Introduction Course Introduction Course Curriculum How to get Pre-requisites Getting Started on Windows, Linux or Mac Section 02: Class Introduction to Class Create a Class Calling a Class Object Class Parameters - Objects Access Modifiers(theory) Summary Section 03: Methods Introduction to methods Create a method Method with parameters Method default parameter Multiple parameters Method return keyword Method Overloading Summary Section 04: OOPs Object-Oriented Programming Introduction to OOPs Classes and Objects Class Constructors Assessment Test1 Solution for Assessment Test1 Summary Section 05: Inheritance and Polymorphism Introduction Inheritance Getter and Setter Methods Polymorphism Assessment Test2 Solution for Assessment Test2 Summary Section 06: Encapsulation and Abstraction Introduction Access Modifiers (public, protected, private) Encapsulation Abstraction Summary Section 07: Python Games for Intermediate Introduction Dice Game Card and Deck Game Playing Summary Section 08: Modules and Packages Introduction PIP command installations Modules Naming Module Built-in Modules Packages List Packages Summary Section 09: Working Files with Pandas Introduction Reading CSV files Writing CSV files Summary Section 10: Error and ExceptionHandling Introduction Errors - Types of Errors Try - ExceptExceptions Handling Creating User-Defined Message Try-Except-FinallyBlocks Summary 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 £9 for PDF Certificate and £15 for the Hardcopy Certificate within the UK ( An additional £10 postal charge will be applicable for international delivery). Who is this course for? This Code with Python: Learn Classes, Methods and OOP course is designed to enhance your expertise and boost your CV. Learn key skills and gain a certificate of achievement to prove your newly-acquired knowledge. Requirements This Code with Python: Learn Classes, Methods and OOP course is open to all, with no formal entry requirements. Career path Upon successful completion of the Code with Python: Learn Classes, Methods and OOP Course, learners will be equipped with many indispensable skills and have the opportunity to grab.

The course is crafted to help you understand not only the role and impact of recommender systems in real-world applications but also provide hands-on experience in developing complete recommender systems engines for your customized dataset using projects. This learning-by-doing course will help you master the concepts and methodology of Python.

Overview This comprehensive course on Spatial Data Visualization and Machine Learning in Python Level 4 will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Spatial Data Visualization and Machine Learning in Python Level 4 comes with accredited certification from CPD, which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast track your career ladder. How will I get my certificate? After successfully completing the course you will be able to order your certificate, these are included in the price. Who is This course for? There is no experience or previous qualifications required for enrolment on this Spatial Data Visualization and Machine Learning in Python Level 4. It is available to all students, of all academic backgrounds. Requirements Our Spatial Data Visualization and Machine Learning in Python Level 4 is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path Having these various qualifications will increase the value in your CV and open you up to multiple sectors such as Business & Management, Admin, Accountancy & Finance, Secretarial & PA, Teaching & Mentoring etc. Course Curriculum 8 sections • 21 lectures • 04:40:00 total length •Introduction: 00:14:00 •Python Installation: 00:03:00 •Installing Bokeh: 00:04:00 •Data Preparation: 00:24:00 •Creating a Bar Chart: 00:18:00 •Creating a Line Chart: 00:12:00 •Creating a Doughnut Chart: 00:22:00 •Creating a Magnitude Plot: 00:31:00 •Creating a Geo Map Plot: 00:20:00 •Creating a Grid Plot: 00:12:00 •Data Pre-processing: 00:21:00 •Building a Predictive Model: 00:21:00 •Building a Prediction Dataset: 00:07:00 •Adding predicted data to our plots - Part 1: 00:13:00 •Adding predicted data to our plots - Part 2: 00:14:00 •Adding predicted data to our plots - Part 3: 00:15:00 •Adding the Grid Plot: 00:08:00 •Installing Visual Studio Code: 00:01:00 •Creating the Project and Virtual Environment: 00:08:00 •Building and Running the Server: 00:12:00 •Resources: 00:00:00

Description: This diploma in C++ and Python programming course is a great way to get started in programming. It covers the study of the C++ and Python group of languages used to build most of the world's object oriented systems. The course is for interested students with a good level of computer literacy who wish to acquire programming skills. It is also ideal for those who wish to move to a developer role or areas such as software engineering. This is a great course to develop your coding skills. It teaches key features of imperative programming using C and is an ideal preliminary to the Object-Oriented Programming using Python. Join the course now! Entry Requirement This course is available to all learners, of all academic backgrounds. Learners should be aged 16 or over to undertake the qualification. Good understanding of English language, numeracy and ICT are required to attend this course. Assessment:  At the end of the course, you will be required to sit an online multiple-choice test. Your test will be assessed automatically and immediately so that you will instantly know whether you have been successful. Before sitting for your final exam you will have the opportunity to test your proficiency with a mock exam. Certification: After completing and passing the course successfully, you will be able to obtain an Accredited Certificate of Achievement. Certificates can be obtained either in hard copy at a cost of £39 or in PDF format at a cost of £24. Why choose us? Affordable, engaging & high-quality e-learning study materials; Tutorial videos/materials from the industry leading experts; Study in a user-friendly, advanced online learning platform; Efficient exam systems for the assessment and instant result; The UK & internationally recognized accredited qualification; Access to course content on mobile, tablet or desktop from anywhere anytime; The benefit of career advancement opportunities; 24/7 student support via email. Career Path After completing this course you will be able to build up accurate knowledge and skills with proper confidence to enrich yourself and brighten up your career in the relevant job market. Python 3 Beginners Module 01 Introduction FREE 00:29:00 Starter Examples 00:33:00 Learning C Concepts 00:13:00 Module 02 Data Types and Inference 00:20:00 Sizeof and IEEE 754 00:33:00 Constants L and R Values 00:11:00 Operators and Precedence 00:25:00 Literals 00:26:00 Module 03 Classes and Structs FREE 00:22:00 Enums 00:14:00 Unions 00:16:00 Introduction to Pointers 00:11:00 Pointers and Array Indexing 00:12:00 Using Const with Pointers 00:09:00 Pointers to String Literals 00:12:00 References 00:14:00 Smart Pointers 00:22:00 Arrays 00:15:00 Standard Library Strings 00:13:00 More Standard Library Strings 00:18:00 Functions 00:06:00 More Functions 00:16:00 Function Pointers 00:15:00 Control Statements 00:18:00 Python 3 Intermediate Module 04 Installing Python FREE 00:17:00 Documentation 00:30:00 Command Line 00:17:00 Variables 00:29:00 Simple Python Syntax 00:15:00 Keywords 00:18:00 Import Module 00:17:00 Additional Topics 00:23:00 Module 05 If Elif Else 00:31:00 Iterable 00:10:00 For 00:11:00 Loops 00:20:00 Execute 00:05:00 Exceptions 00:18:00 Data Types 00:24:00 Module 06 Number Types 00:28:00 More Number Types 00:13:00 Strings 00:20:00 More Strings 00:11:00 Files 00:08:00 Lists 00:15:00 Dictionaries 00:04:00 Tuples 00:07:00 Sets 00:09:00 Module 07 Comprehensions 00:10:00 Definitions 00:02:00 Functions 00:06:00 Default Arguments 00:06:00 Doc Strings 00:06:00 Variadic Functions 00:07:00 Factorial 00:07:00 Function Objects 00:07:00 Module 08 Lambda 00:11:00 Generators 00:06:00 Closures 00:10:00 Classes 00:09:00 Object Initialization 00:05:00 Class Static Members 00:07:00 Classic Inheritance 00:10:00 Data Hiding 00:07:00 Python 3 Advanced Iterators and Generators FREE 00:16:00 Regular Expressions 00:19:00 Introspection and Lambda Functions 00:27:00 Metaclasses and Decorators 00:24:00 Modules and Packages 00:25:00 Working with APIs 00:15:00 Metaprogramming Primer 00:19:00 Decorators and Monkey Patching 00:21:00 XML and JSON Structure 00:10:00 Generating XML and JSON 00:17:00 Parsing XML and JSON 00:19:00 Implementing Algorithms 00:19:00 Certificate and Transcript Order Your Certificates and Transcripts 00:00:00

Overview This comprehensive course on Create Smart Maps in Python and Leaflet Level 3 will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Create Smart Maps in Python and Leaflet Level 3 comes with accredited certification from CPD, which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast track your career ladder. How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is This course for? There is no experience or previous qualifications required for enrolment on this Create Smart Maps in Python and Leaflet Level 3. It is available to all students, of all academic backgrounds. Requirements Our Create Smart Maps in Python and Leaflet Level 3 is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path Having these various qualifications will increase the value in your CV and open you up to multiple sectors such as Business & Management, Admin, Accountancy & Finance, Secretarial & PA, Teaching & Mentoring etc. Course Curriculum 6 sections • 26 lectures • 03:41:00 total length •Introduction: 00:08:00 •Installing PostgreSQL and PostGIS Part1: 00:10:00 •Installing PostgreSQL and PostGIS Part2: 00:10:00 •Installing Python Django in a Virtual Environment: 00:10:00 •Installing and Configuring Atom IDE Part1: 00:10:00 •Installing and Configuring Atom IDE Part2: 00:03:00 •Creating a GeoDjango Application Skeleton: 00:10:00 •Adding a Spatial Database to our Django Backend: 00:09:00 •Updating our django models file: 00:08:00 •Registering our model in the admin file Part1: 00:09:00 •Registering our model in the admin file Part2: 00:10:00 •Registering our model in the admin file Part3: 00:10:00 •Updating the settings file: 00:07:00 •Creating the layout page Part 1: 00:09:00 •Creating the layout page Part 2: 00:10:00 •Creating the layout page Part 3: 00:07:00 •Creating the index page Part 1: 00:10:00 •Creating the index page Part 2: 00:07:00 •Updating the index page: 00:07:00 •Creating datasets: 00:10:00 •Displaying data on the map Part 1: 00:10:00 •Displaying data on the map Part 2: 00:02:00 •Creating a legend: 00:10:00 •Creating the barchart legend: 00:06:00 •Creating the barchart Part 1: 00:10:00 •Creating the barchart Part 2: 00:09:00

Understand how Docker works and learn its core features with this hands-on course. This is 90% practice without any useless demos! Learn how to create different containers such as Node.js, Python, WordPress, MongoDB, MySQL, Redis, Elasticsearch, and much more.

[vc_row][vc_column][vc_column_text] Description: This Python Basic to Advanced for Data Science Online Course is a great way to get started in programming. It covers the study of the Python language used to build most of the world's object-oriented systems. The course is for interested students with a good level of computer literacy who wish to acquire programming skills. It is also ideal for those who wish to move to a developer role or areas such as software engineering. This is a great course to develop your coding skills. This Python Basic to Advanced for Data Science Online Course is an ideal preliminary to the Object-Oriented Programming using Python. Join the course now! Entry Requirement This course is available to all learners, of all academic backgrounds. Learners should be aged 16 or over to undertake the qualification. Good understanding of English language, numeracy and ICT are required to attend this course. Certification: After completing the course successfully, you will be able to obtain an Accredited Certificate of Achievement. Certificates can be obtained either in hard copy at a cost of £39 or in PDF format at a cost of £24. Why choose us? Affordable, engaging & high-quality e-learning study materials; Tutorial videos/materials from the industry leading experts; Study in a user-friendly, advanced online learning platform; The UK & internationally recognized accredited qualification; Access to course content on mobile, tablet or desktop from anywhere anytime; The benefit of career advancement opportunities; 24/7 student support via email. Career Path After completing this course you will be able to build up accurate knowledge and skills with proper confidence to enrich yourself and brighten up your career in the relevant job market.[/vc_column_text][/vc_column][/vc_row] Python 3 Beginners Module 01 Introduction FREE 00:29:00 Starter Examples 00:33:00 Learning C Concepts 00:13:00 Module 02 Data Types and Inference 00:20:00 Sizeof and IEEE 754 00:33:00 Constants L and R Values 00:11:00 Operators and Precedence 00:25:00 Literals 00:26:00 Module 03 Classes and Structs FREE 00:22:00 Enums 00:14:00 Unions 00:16:00 Introduction to Pointers 00:11:00 Pointers and Array Indexing 00:12:00 Using Const with Pointers 00:09:00 Pointers to String Literals 00:12:00 References 00:14:00 Smart Pointers 00:22:00 Arrays 00:15:00 Standard Library Strings 00:13:00 More Standard Library Strings 00:18:00 Functions 00:06:00 More Functions 00:16:00 Function Pointers 00:15:00 Control Statements 00:18:00 Python 3 Intermediate Module 04 Installing Python FREE 00:17:00 Documentation 00:30:00 Command Line 00:17:00 Variables 00:29:00 Simple Python Syntax 00:15:00 Keywords 00:18:00 Import Module 00:17:00 Additional Topics 00:23:00 Module 05 If Elif Else 00:31:00 Iterable 00:10:00 For 00:11:00 Loops 00:20:00 Execute 00:05:00 Exceptions 00:18:00 Data Types 00:24:00 Module 06 Number Types 00:28:00 More Number Types 00:13:00 Strings 00:20:00 More Strings 00:11:00 Files 00:08:00 Lists 00:15:00 Dictionaries 00:04:00 Tuples 00:07:00 Sets 00:09:00 Module 07 Comprehensions 00:10:00 Definitions 00:02:00 Functions 00:06:00 Default Arguments 00:06:00 Doc Strings 00:06:00 Variadic Functions 00:07:00 Factorial 00:07:00 Function Objects 00:07:00 Module 08 Lambda 00:11:00 Generators 00:06:00 Closures 00:10:00 Classes 00:09:00 Object Initialization 00:05:00 Class Static Members 00:07:00 Classic Inheritance 00:10:00 Data Hiding 00:07:00 Python 3 Advanced Iterators and Generators FREE 00:16:00 Regular Expressions 00:19:00 Introspection and Lambda Functions 00:27:00 Metaclasses and Decorators 00:24:00 Modules and Packages 00:25:00 Working with APIs 00:15:00 Metaprogramming Primer 00:19:00 Decorators and Monkey Patching 00:21:00 XML and JSON Structure 00:10:00 Generating XML and JSON 00:17:00 Parsing XML and JSON 00:19:00 Implementing Algorithms 00:19:00 Certificate and Transcript Order Your Certificates and Transcripts 00:00:00