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Sale Ends Today Video Game Developer: Game Development & Game Design Admission Gifts FREE PDF & Hard Copy Certificate| PDF Transcripts| FREE Student ID| Assessment| Lifetime Access| Enrolment Letter Britons are amongst the biggest global video game consumers, with as many as 44.32 million people in the UK reported to play video games. The sector's rapid growth is creating a booming demand for skilled game developers.With the UK gaming industry expected to create over 1,740 new jobs in 2024, it is an ideal time to be a game developer. Have a look at our Video Game Developer: Game Development & Game Design bundle that provides an expansive toolkit for anyone looking to enter or advance in this dynamic industry. The Video Game Developer bundle covers everything from fundamental concepts in game design to advanced development techniques using the latest software and programming languages. Courses range from Game Design Masterclass and Game Development using Cocos2d-x, to Unreal Engine 5 and Blender 3D. You'll learn to script interactive gameplay elements in Unity 3D, design captivating game characters, and even develop environments specifically tailored for mobile platforms. Additionally, the bundle includes courses on how to monetise games effectively and navigate platforms like Twitch TV for live-streaming. This Game Development Bundle Contains 30 of Our Premium Courses for One Discounted Price: Course 01: Game Design Masterclass Course 02: Game Development using Cocos2d-x v3 C++ Course 03: Cocos2d-x v3 JavaScript: Game Development Course 04: Game Design for Beginner Course 05: Flappy Bird Clone: SFML C++ Game Course Course 06: Developing Game in Unity 3D Course 07: Make Cinematics Using Unreal Engine 5 Course 08: Unreal Engine 4 Course 09: JavaScript Project - Game Development with JS Course 10: Tic-Tac-Toe Clone - The Complete Cocos2d-x C++ Game Course Course 11: Tic-Tac-Toe Clone - The Complete SFML C++ Game Course Course 12: Create a Game With Gamemaker Studio 2 Course 13: Learn Dynamic 2D Game Character Design With Free Tools Course 14: Develop 2D Game UI Using Inkscape Course 15: Develop Vector Game Art With Inkscape Course 16: Modern OpenGL 3D Game Course 17: Blender 3D - Create a Cartoon Character Course 18: Coroutines in Unity 3D Masterclass Course 19: Visual Scripting In Unity Masterclass Course 20: Maya for Absolute Beginners Course 21: Create Amazing Daromas in Maya Course 22: UV Mapping 3D Knife in Maya Course 23: Maya & Unity 3D: Modeling Lowpoly Tree for Mobile Games Course 24: Maya & Unity 3D: Modeling Environments for Mobile Games Course 25: Modeling Lowpoly Cartoon Fishing House in Maya Course 26: Monetise Your Mobile Game or App Course 27: Introduction To Twitch TV Video Game Live Streaming Course 28: Publish Game Assets to the Unity & Unreal Marketplace for Passive Income Course 29: Diploma in User Experience UI/UX Design (Advanced) Course 30: The Media Crash Course Transform your creative ideas into engaging game experiences. Going a step closer to joining a major game studio, or launching your own indie game company, either can be a reality as these courses will equip you with the skills needed to succeed. Enrol today and start your journey towards becoming a professional game developer. Don't just play games-create them! Learning Outcomes of Game Development Bundle: Master game design principles and development techniques. Develop games using Cocos2d-x, Unity 3D, and Unreal Engine. Design and animate 3D characters and environments in Blender and Maya. Learn to monetise games through app stores and digital marketplaces. Create engaging UIs and dynamic game levels for various platforms. Understand the essentials of live-streaming and content publishing. Why Prefer this Course? Get a Free CPD Accredited Certificate upon completion of the course Get a Free Student ID Card with this training program (£10 postal charge will be applicable for international delivery) The course is Affordable and Simple to understand Get Lifetime Access to the course materials The training program comes with 24/7 Tutor Support Start your learning journey straight away! The "Video Game Developer: Game Development & Game Design" course bundle is very carefully crafted to provide learners with an all-encompassing overview of the game development process. By mastering game design principles and development techniques, participants will gain the foundational knowledge necessary to create compelling and technically sound games. This includes learning through countless tutorials that cover everything from the initial concept to the final stages of game polishing. Furthermore, learners will receive extensive training in using industry-standard tools such as Cocos2d-x, Unity 3D, and Unreal Engine. This experience is invaluable, enabling students to develop games across various platforms effectively. Additionally, the courses on designing and animating 3D characters and environments using Blender and Maya will equip learners with the skills to bring their creative visions to life, enhancing the immersive experience of their games. Moreover, this diploma offers learners the opportunity to acquire a Recognised Qualification that is highly valued in the field of Game Development. With this Certification, graduates are better positioned to pursue career advancement and higher responsibilities within the Game Development setting. The skills and knowledge gained from this course will enable learners to make meaningful contributions to Game Development related fields impacting their Game Development experiences and long-term development. Course Curriculum Course 01: Game Design Masterclass Module 01: Introduction Module 02: What Is A Game Module 03: Game Types Module 04: Game Loops Module 05: Game Arcs Module 06: Game Roles: Part 1 Module 07: Game Roles: Part 2 Module 08: Game Industry Module 09: Game Purposes Module 10: Game Layers & How to separate elements Module 11: Tutorials: How to teach the player Module 12: Licensing & How to get free assets Module 13: Game Design Document and Game Design Canvas Module 14: Crowdfunding Module 15: Publishing Module 16: Top 10 Game Designer Mistakes Course 02: Game Development using Cocos2d-x v3 C++ Module 01: Introduction Module 02: Setting Up Module 03: Adding A Sprite Module 04: Positioning Module 05: Scaling Module 06: Rotation Module 07: Tinting Module 08: Fading Module 09: Sequencing Module 10: Skewing Module 11: Audio Module 12: Touch Input Module 13: Menus Module 14: Scenes Module 15: Animations Module 16: Accelerometer Module 17: Cocos Console Course 03: Cocos2d-x v3 JavaScript: Game Development Module 01: Introduction & Setup Module 02: Positioning Module 03: Repeating Actions Module 04: Advanced Actions Module 05: Playing Audio Module 06: Touch Events Module 07: Mouse Events Module 08: Keyboard Events Module 09: Accelerometer Events Module 10: Menu Systems Module 11: Scenes Module 12: Extras Module 13: Labels Module 14: UI Components =========>>>>> And 27 More Courses <<<<<========= How will I get my Certificate? After successfully completing the course, you will be able to order your Certificates as proof of your achievement. PDF Certificate: Free (Previously it was £12.99*30 = £390) CPD Hard Copy Certificate: Free (For The First Course: Previously it was £29.99) CPD 300 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Anyone interested in learning more about the topic is advised to take this bundle. This bundle is ideal for: Aspiring game developers. Creative designers. Software developers. Gaming hobbyists. Indie game entrepreneurs. Digital content creators. Requirements You will not need any prior background or expertise to enrol in this course. Career path After completing this bundle, you are to start your career or begin the next phase of your career. Game Developer: $50,000 - $100,000 3D Modeler: $40,000 - $70,000 Game Designer: $50,000 - $90,000 Unity Developer: $60,000 - $110,000 Game Animator: $45,000 - $75,000 Technical Artist: $50,000 - $80,000 Certificates CPD Accredited Digital Certificate Digital certificate - Included CPD Accredited e-Certificate - Free Enrolment Letter - Free Student ID Card - Free CPD Accredited Hard Copy Certificate Hard copy certificate - Included Please note that International students have to pay an additional £10 as a shipment fee.

SAFe® DevOps: Virtual In-House Training This course provides a comprehensive overview for understanding the DevOps skills needed to accelerate time-to-market by improving the flow of value through the Continuous Delivery Pipeline. You will map the current value stream through the delivery pipeline from idea to cash and identify practices that will eliminate bottlenecks to flow. The course will build an understanding of the complete flow of value from Continuous Exploration to Continuous Integration, Continuous Deployment, and Release on Demand. What you will Learn After attending the class, attendees should be able to: Explain how DevOps enables strategic business objectives Apply a CALMR approach to DevOps to avoid automating broken processes Understand how successful DevOps requires continuous exploration, continuous integration, continuous deployment, and the ability to release to end users on demand Incorporate continuous testing and continuous security into the delivery pipeline Use value-stream mapping to measure flow and identify bottlenecks in the end-to-end delivery process Select DevOps skills and tools strategically for the fastest, most compelling results Prioritize DevOps solutions and investments for the greatest economic benefit Design and implement a multi-phased DevOps transformation plan tailored to their organization Work with all roles and levels in the organization to continually optimize the value stream Introducing DevOps Mapping your Continuous Delivery Pipeline Gaining alignment with Continuous Exploration Building quality with Continuous Integration Reducing time-to-market with Continuous Deployment Delivering Business Value with Release on Demand Taking action

This Design Patterns course is a unique offering that focuses on modern C++ features and behavioral design patterns. The course content is extensive and carefully curated, with a deep dive into each pattern to ensure a thorough understanding of its implementation. Gain a comprehensive understanding of the pattern's intricacies.

Duration 1 Days 6 CPD hours This course is intended for The audience for this course is individuals who want to learn the fundamentals of database concepts in a cloud environment, get basic skilling in cloud data services, and build their foundational knowledge of cloud data services within Microsoft Azure. Overview Describe core data concepts Identify considerations for relational data on Azure Describe considerations for working with non-relational data on Azure Describe an analytics workload on Azure In this course, students will gain foundational knowledge of core data concepts and related Microsoft Azure data services. Students will learn about core data concepts such as relational, non-relational, big data, and analytics, and build their foundational knowledge of cloud data services within Microsoft Azure. Students will explore fundamental relational data concepts and relational database services in Azure. They will explore Azure storage for non-relational data and the fundamentals of Azure Cosmos DB. Students will learn about large-scale data warehousing, real-time analytics, and data visualization. 1 - Explore core data concepts Identify data formats Explore file storage Explore databases Explore transactional data processing Explore analytical data processing 2 - Explore data roles and services Explore job roles in the world of data Identify data services 3 - Explore fundamental relational data concepts Understand relational data Understand normalization Explore SQL Describe database objects 4 - Explore relational database services in Azure Describe Azure SQL services and capabilities Describe Azure services for open-source databases 5 - Explore Azure Storage for non-relational data Explore Azure blob storage Explore Azure DataLake Storage Gen2 Explore Azure Files Explore Azure Tables 6 - Explore fundamentals of Azure Cosmos DB Describe Azure Cosmos DB Identify Azure Cosmos DB APIs 7 - Explore fundamentals of large-scale data warehousing Describe data warehousing architecture Explore data ingestion pipelines Explore analytical data stores 8 - Explore fundamentals of real-time analytics Understand batch and stream processing Explore common elements of stream processing architecture Explore Azure Stream Analytics Explore Apache Spark on Microsoft Azure 9 - Explore fundamentals of data visualization Describe Power BI tools and workflow Describe core concepts of data modeling Describe considerations for data visualization

Duration 1 Days 6 CPD hours This course is intended for The audience for this course is looking to familiarize themselves with the fundamentals of security, compliance, and identity (SCI) across cloud-based and related Microsoft services. The content for this course aligns to the SC-900 exam objective domain. Candidates should be familiar with Microsoft Azure and Microsoft 365 and understand how Microsoft security, compliance, and identity solutions can span across these solution areas to provide a holistic and end-to-end solution. Before attending this course, students must have: General understanding of networking and cloud computing concepts. General IT knowledge or any general experience working in an IT environment. General understanding of Microsoft Azure and Microsoft 365. This course provides foundational level knowledge on security, compliance, and identity concepts and related cloud-based Microsoft solutions. Prerequisites General understanding of networking and cloud computing concepts. General IT knowledge or any general experience working in an IT environment. General understanding of Microsoft Azure and Microsoft 365. 1 - Describe security and compliance concepts Describe the shared responsibility model Describe defense in depth Describe the Zero Trust model Describe governance, risk, and compliance (GRC) concepts 2 - Describe identity concepts Define authentication and authorization Define identity as the primary security perimeter Describe the role of the identity provider Describe the concept of directory services and Active Directory Describe the concept of federation 3 - Describe the function and identity types of Microsoft Entra ID Describe Microsoft Entra ID Describe types of identities Describe hybrid identity Describe external identities 4 - Describe the authentication capabilities of Microsoft Entra ID Describe authentication methods Describe multifactor authentication Describe self-service password reset Describe password protection and management capabilities 5 - Describe access management capabilities of Microsoft Entra ID Describe Conditional Access Describe Microsoft Entra roles and role-based access control (RBAC) 6 - Describe the identity protection and governance capabilities of Azure AD Describe Microsoft Entra ID Governance Describe access reviews Describe entitlement management Describe the capabilities of Privileged identity Management Describe Microsoft Entra ID Protection Describe Microsoft Entra Permissions Management Describe Microsoft Entra Verified ID 7 - Describe core infrastructure security services in Azure Describe Azure DDoS protection Describe Azure Firewall Describe Web Application Firewall Describe network segmentation in Azure Describe Azure Network Security Groups Describe Azure Bastion Describe Azure Key Vault 8 - Describe the security management capabilities in Azure Describe Microsoft Defender for Cloud Describe how security policies and initiatives improve cloud security posture Describe Cloud security posture management Describe the enhanced security of Microsoft Defender for Cloud Describe DevOps security management 9 - Describe security capabilities of Microsoft Sentinel Describe threat detection and mitigation capabilities in Microsoft Sentinel Describe Microsoft Security Copilot 10 - Describe threat protection with Microsoft Defender XDR Describe Microsoft Defender XDR services Describe Microsoft Defender for Office 365 Describe Microsoft Defender for Endpoint Describe Microsoft Defender for Cloud Apps Describe Microsoft Defender for Identity Describe Microsoft Defender Vulnerability Management Describe Microsoft Defender Threat Intelligence Describe the Microsoft Defender portal 11 - Describe Microsoft?s Service Trust portal and privacy capabilities Describe the offerings of the Service Trust portal Describe Microsoft's privacy principles Describe Microsoft Priva 12 - Describe the compliance management capabilities in Microsoft Purview Describe the Microsoft Purview compliance portal Describe Compliance Manager Describe use and benefits of compliance score 13 - Describe information protection, data lifecycle management, and data governance capabilities in Microsoft Purview Know your data, protect your data, and govern your data Describe the data classification capabilities of the compliance portal Describe sensitivity labels and policies Describe data loss prevention Describe retention policies and retention labels Describe records management Describe the Microsoft Purview unified data governance solution 14 - Describe the insider risk capabilities in Microsoft Purview Describe insider risk management Describe communication compliance 15 - Describe the eDiscovery and Audit capabilities in Microsoft Purview Describe the eDiscovery solutions in Microsoft Purview Describe the audit solutions in Microsoft Purview

Duration 1 Days 6 CPD hours This course is intended for This course is designed for candidates looking to demonstrate foundational-level knowledge of cloud-based solutions to facilitate productivity and collaboration on-site, at home, or a combination of both.ÿCandidates may have knowledge of cloud-based solutions or may be new to Microsoft 365. Overview After completing this course, students will be able to: Describe cloud concepts Describe core Microsoft 365 services and concepts Describe security, compliance, privacy, and trust in Microsoft 365 Describe Microsoft 365 pricing and support This course introduces Microsoft 365, an integrated cloud platform that delivers industry-leading productivity apps along with intelligent cloud services, and world-class security. You?ll learn foundational knowledge on the considerations and benefits of adopting cloud services and the Software as a Service (SaaS) cloud model, with a specific focus on Microsoft 365 cloud service offerings. You will begin by learning about cloud fundamentals, including an overview of cloud computing. You will be introduced to Microsoft 365 and learn how Microsoft 365 solutions improve productivity, facilitate collaboration, and optimize communications. The course then analyzes how security, compliance, privacy, and trust are handled in Microsoft 365, and it concludes with a review of Microsoft 365 subscriptions, licenses, billing, and support. 1 - Describe cloud computing What is cloud computing Describe the shared responsibility model Define cloud models Describe the consumption-based model 2 - Describe the benefits of using cloud services Describe the benefits of high availability and scalability in the cloud Describe the benefits of reliability and predictability in the cloud Describe the benefits of security and governance in the cloud Describe the benefits of manageability in the cloud 3 - Describe cloud service types Describe Infrastructure as a Service Describe Platform as a Service Describe Software as a Service 4 - What is Microsoft 365? Describe the differences between Office 365 and Microsoft 365 Describe Windows 365 Describe how Microsoft 365 empowers workers in this hybrid world of work Explore Microsoft 365 tenant 5 - Describe productivity solutions of Microsoft 365 Describe the productivity capabilities and benefits of Microsoft 365 Describe Microsoft 365 Apps Describe work management tools in Microsoft 365 Describe additional Microsoft 365 productivity apps 6 - Describe collaboration solutions of Microsoft 365 Describe the collaboration capabilities and benefits of Microsoft 365 Describe how Microsoft Teams promotes collaboration and enhances teamwork Describe the Microsoft Viva apps Describe how Yammer helps communities connect and grow 7 - Describe endpoint modernization, management concepts, and deployment options in Microsoft 365 Describe the endpoint management capabilities of Microsoft 365 Compare the differences of Windows 365 and Azure Virtual Desktop Describe the deployment and release models for Windows-as-a-Service (WaaS) Identify deployment methods and update channels for Microsoft 365 Apps 8 - Describe analytics capabilities of Microsoft 365 Describe the capabilities of Viva Insights Describe the capabilities of the Microsoft 365 admin center and Microsoft 365 user portal Describe the reports available in the Microsoft 365 admin center and other admin centers 9 - Describe the services and identity types of Azure AD Describe Azure Active Directory Describe the available Azure AD editions Describe Azure AD identity types Describe the types of external identities Describe the concept of hybrid identity 10 - Describe the access management capabilities of Azure AD Describe Conditional Access in Azure AD Describe the benefits of Azure AD roles and role-based access control 11 - Describe threat protection with Microsoft 365 Defender Describe Microsoft 365 Defender services Describe Microsoft Defender for Office 365 Describe Microsoft Defender for Endpoint Describe Microsoft Defender for Cloud Apps Describe Microsoft Defender for Identity Describe the Microsoft 365 Defender portal 12 - Describe security capabilities of Microsoft Sentinel Describe how Microsoft Sentinel provides integrated threat management Understand Sentinel costs 13 - Describe the compliance management capabilities in Microsoft Purview Describe the Microsoft Purview compliance portal Describe Compliance Manager Describe use and benefits of compliance score 14 - Describe the Service Trust Portal and privacy at Microsoft Describe the Service Trust Portal Describe Microsoft's privacy principles Describe Microsoft Priva 15 - Describe Microsoft 365 pricing, licensing, and billing options Explore pricing models for Microsoft cloud services Explore the billing and bill management options Explore the available licensing and management options 16 - Describe support offerings for Microsoft 365 services Explore support options for Microsoft 365 services Explain service level agreement (SLAs) concepts Identify how to track the service health status Explore how organizations can share feedback on Microsoft 365 services

Duration 1 Days 6 CPD hours This course is intended for The primary audience for this course is data professionals who are familiar with data modeling, extraction, and analytics. It is designed for professionals who are interested in gaining knowledge about Lakehouse architecture, the Microsoft Fabric platform, and how to enable end-to-end analytics using these technologies. Job role: Data Analyst, Data Engineer, Data Scientist Overview Describe end-to-end analytics in Microsoft Fabric Describe core features and capabilities of lakehouses in Microsoft Fabric Create a lakehouse Ingest data into files and tables in a lakehouse Query lakehouse tables with SQL Configure Spark in a Microsoft Fabric workspace Identify suitable scenarios for Spark notebooks and Spark jobs Use Spark dataframes to analyze and transform data Use Spark SQL to query data in tables and views Visualize data in a Spark notebook Understand Delta Lake and delta tables in Microsoft Fabric Create and manage delta tables using Spark Use Spark to query and transform data in delta tables Use delta tables with Spark structured streaming Describe Dataflow (Gen2) capabilities in Microsoft Fabric Create Dataflow (Gen2) solutions to ingest and transform data Include a Dataflow (Gen2) in a pipeline This course is designed to build your foundational skills in data engineering on Microsoft Fabric, focusing on the Lakehouse concept. This course will explore the powerful capabilities of Apache Spark for distributed data processing and the essential techniques for efficient data management, versioning, and reliability by working with Delta Lake tables. This course will also explore data ingestion and orchestration using Dataflows Gen2 and Data Factory pipelines. This course includes a combination of lectures and hands-on exercises that will prepare you to work with lakehouses in Microsoft Fabric. Introduction to end-to-end analytics using Microsoft Fabric Explore end-to-end analytics with Microsoft Fabric Data teams and Microsoft Fabric Enable and use Microsoft Fabric Knowledge Check Get started with lakehouses in Microsoft Fabric Explore the Microsoft Fabric Lakehouse Work with Microsoft Fabric Lakehouses Exercise - Create and ingest data with a Microsoft Fabric Lakehouse Use Apache Spark in Microsoft Fabric Prepare to use Apache Spark Run Spark code Work with data in a Spark dataframe Work with data using Spark SQL Visualize data in a Spark notebook Exercise - Analyze data with Apache Spark Work with Delta Lake Tables in Microsoft Fabric Understand Delta Lake Create delta tables Work with delta tables in Spark Use delta tables with streaming data Exercise - Use delta tables in Apache Spark Ingest Data with DataFlows Gen2 in Microsoft Fabric Understand Dataflows (Gen2) in Microsoft Fabric Explore Dataflows (Gen2) in Microsoft Fabric Integrate Dataflows (Gen2) and Pipelines in Microsoft Fabric Exercise - Create and use a Dataflow (Gen2) in Microsoft Fabric

Are you looking for a career in Data Science & Python? Do you want to learn the skills you need to succeed in this exciting Data Science & Python field? If so, then the Data Science & Python - Career Mentoring & Support with Job Opportunity program is perfect for you! Enrol Data Science & Python today and earn upto •90,000 with the help of our guidance. We will help you until you find a job, so you won't have to worry about a thing. Just gain knowledge and learn Data Science & Python skills, getting you a job is our duty. You will receive career mentoring and support from our experienced team of professionals. We will help you develop your resume, network with potential employers, and land your dream job! We are committed to being with you every step of the way, from your job search to your ultimate success. Why Choose Us Our mission is simple: to be your trusted partner and assist you every step of the way until you land the job of your dreams. Here's what makes our Data Science & Python Program stand out from the crowd: Personalised Job Search Assistance: We're in this together! Our dedicated team will work tirelessly to support your entire job searching process. From crafting a standout resume to submitting it to top companies, we'll ensure you have a compelling application that gets noticed. Expertly Crafted CV: Your resume is your ticket to the interview room. Our professional resume writers will create a customised CV highlighting your unique skills and experiences. This will maximise your chances of standing out among the competition. Strategic Placement: We understand the power of casting a wide net. We'll strategically submit your CV to various platforms and networks, expanding your reach and connecting you with valuable opportunities that align with your career goals. One-On-One Consultation Sessions with Industry Experts: Gain invaluable insights and guidance from seasoned professionals who have thrived in the Data Science & Python field. Our consultation sessions provide you with insider tips, tricks, and advice, empowering you to navigate the industry with confidence and finesse. Comprehensive Skill Development: Our program is designed to equip you with the most sought-after skills in Data Science & Python. From mastering cutting-edge tools to honing your skills, we'll ensure you have the knowledge and expertise to excel in any Data Science & Python environment. Ongoing Support: We understand that the journey to landing your dream job doesn't end with placement. That's why our commitment to your success extends well beyond your initial training. Our support team will be available to answer your questions, provide guidance, and assist you as you progress in your career. Here are the 25 courses we will provide once you enrol in the program: Python Basic Programming for Absolute Beginners Intermediate Python Coding Complete Python Machine Learning & Data Science Fundamentals SQL for Data Science, Data Analytics and Data Visualization Learn MySQL from Scratch for Data Science and Analytics Computer Science with Python Course Machine Learning Course with Python Python 3 Programming Diploma in Python Programming Python Data Science with Numpy, Pandas and Matplotlib Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 Advanced Diploma in Statistics & Probability for Data Science & Machine Learning at QLS Level 7 Learn Python, JavaScript, and Microsoft SQL for Data science Quick Data Science Approach from Scratch Data Science & Machine Learning with R from A-Z R Programming for Data Science Clinical Data Management with SAS Programming Information Governance and Data Management Training Electronic Document Management: Efficient Data Handling Cyber Security Awareness Training AWS Certified Solutions Architect Associate Preparation CompTIA Cloud+ (CV0-002) IT Administration and Networking CompTIA Network+ Certification (N10-007) CompTIA PenTest+ (Ethical Hacking) course These courses will help you to develop your knowledge and skills to become a successful Data Science & Python Expert. The Program is completed in 5 easy steps: Step 1 - Enrol in the program and start learning from the courses we provide After you enrol in the Data Science & Python Program, you will get lifetime access to 25 premium courses related to Data Science & Python. These courses will teach you the knowledge and skills required to become a successful Data Science & Python Expert. Our customer service team will help you and keep in contact with you every step of the way. Step 2 - Complete your courses and get certifications After learning from the Data Science & Python courses, you must obtain certificates for each course. There will be exams for every course, and you have to pass them to get your certificate. To pass successfully, you must get 90% marks for the first course and 80% for the rest relevant courses. Once you pass the exams, you will receive hardcopy certificates. These certificates will prove that you're an expert in the subject. Step 3 - Get a consultation session from a professional Take your Data Science & Python skills to new heights with a one-on-one consultation session led by a seasoned professional. Gain invaluable insights, expert tips, and tailored advice that will propel your career forward. Step 4 - Complete the CV and attend the interview Once you've successfully obtained the certifications, our team of professionals will build you a compelling CV and LinkedIn profile. With these powerful tools in hand, you'll be fully prepared to tackle job interviews confidently. Kickstart your Data Science & Python career with a starting salary ranging from •25,000 to •40,000 annually. Step into the industry with the assurance of a promising future. Step 5 - We will not leave you until you find a job Our commitment to your success goes above and beyond. We won't stop until you land that dream job. With personalised support, expert guidance, and unwavering dedication, we'll be by your side until you secure the perfect opportunity. Your job search becomes our mission, ensuring you have the best chance at a successful career in Data Science & Python CPD 300 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This Data Science & Python program is ideal for: Recent Data Science & Python graduates seeking practical guidance and support in their career journey. Professionals looking to transition into the Data Science & Python field and in need of targeted mentoring and job placement assistance. Individuals who want to enhance their Data Science & Python skills and improve their job prospects in the industry. Career changers who aspire to become Data Science & Python and require comprehensive training and guidance. Anyone who wants personalised support in building a strong CV and navigating the competitive job market in the Data Science & Python sector. Requirements No experience required. Just enrol & start learning. Career path After successfully completing this Data Science & Python program, you can explore these career pathways: Data Analyst: •25,000 - •55,000 per year Data Scientist: •40,000 - •85,000 per year Machine Learning Engineer: •50,000 - •100,000 per year Data Engineer: •45,000 - •80,000 per year Business Intelligence Analyst: •35,000 - •65,000 per year Data Science Manager: •70,000 - •120,000 per year. Certificates CPD Accredited e-Certificate Digital certificate - Included CPD Accredited Framed (Hardcopy) Certificate Hard copy certificate - Included Enrolment Letter Digital certificate - Included Student ID Card Digital certificate - Included The Quality Licence Scheme Endorsed Certificate of Achievement Hard copy certificate - Included

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.