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Why Learn 3ds Max Basic to Advanced Training Course? Learn 3ds max design and animation with our comprehensive 3ds Max Basic to Advanced Training Course. Whether you're a beginner or an experienced user, this course is thoughtfully designed to elevate your skills. Course Link Duration: 40 hrs Method: 1-on-1, Personalized attention & Tailored content. Schedule: 1-on-1 training with flexible scheduling. Book a convenient hour, Mon to Sat, from 9 am to 7 pm. Course Details: Course Duration: 40 hours Course Syllabus: Part 1: Introduction to 3ds Max and Vray Familiarization with the 3ds Max Interface Configuring an efficient workspace in 3ds Max Seamless navigation within 3ds Max and Vray Understanding the power of Vray and its interface Part 2: 3D Modeling Precision crafting of fundamental shapes Mastering modifiers for advanced modeling Creating intricate 3D models using diverse techniques Learning the art of polygonal modeling Shaping both organic and inorganic models flawlessly Part 3: Texturing Applying and refining textures with expertise Grasping the essentials of UVW mapping Harnessing material editor to perfection Customizing materials with Vray materials Part 4: Lighting Discovering the magic of illumination Differentiating various light types Comprehending the subtleties of light properties Setting up captivating scenes with Vray lights Part 5: Animation Embarking on an animation adventure Expertly setting up keyframes and animation curves Infusing life into objects in a mesmerizing 3D space Elevating animations with Vray's prowess Part 6: Advanced Rendering with Vray Entering the realm of rendering excellence Mastering Vray Global Illumination for realism Optimizing visuals with Vray Physical Cameras Illuminating scenes with Vray HDRI Lighting Employing Vray Proxies and Render Elements for finesse Streamlining rendering workflow with Vray's techniques Part 7: Projects Showcasing skills through hands-on projects Crafting a captivating yet simple interior scene Designing an alluring exterior scene Taking on the challenge of a complex scene with multiple elements Course Requirements: A computer with 3ds Max and Vray installed (trial versions are available on Autodesk and Chaos Group websites) Basic knowledge of computer operations Enthusiasm for 3D modeling and animation Course Objectives: Upon completing the course, you will have mastered 3ds Max and Vray, enabling you to create photorealistic 3D scenes. The skills acquired will open doors to opportunities in the 3D modeling and animation industry, while also serving as a foundation for further honing your expertise. Course Overview: Photoshop Post-Production Delve into the world of Photoshop post-production through our comprehensive course. Learn essential photo editing techniques, including color correction, retouching, and compositing. Unleash your artistic potential by creating mesmerizing visual effects and stylizing your photos. Course Syllabus: Part 1: Introduction to Photoshop Post-Production Navigating the Photoshop Interface with ease Mastering the art of Layers and Layer Masks Embracing the power of Selections Understanding the basics of Color Correction Part 2: Retouching Techniques Unraveling common Retouching Tools and Techniques Removing blemishes, wrinkles, and unwanted elements Achieving remarkable results with Dodging and Burning Part 3: Compositing Embracing the art of Compositing Working seamlessly with Multiple Images Blending images flawlessly using Layer Masks Part 4: Visual Effects and Stylizing Techniques Crafting Special Effects with Layer Styles and Blending Modes Enhancing images with Filters Achieving mesmerizing effects with Color Grading and Adjustment Layers Part 5: Projects Applying your knowledge to hands-on projects Perfectly Retouching a portrait Creating an alluring composite image Fashioning a stylized masterpiece Course Requirements: A computer with Photoshop installed (trial version available on Adobe website) Basic knowledge of computer operations Passion for photo editing and manipulation

Scrum Product Owner Exam Prep: In-House Training This workshop prepares you for the Scrum.org PSPO™ I certification. A voucher for the exam and the access information you will need to take the exam will be provided to you via email after you have completed the course. NOTE: If you have participated in any of IIL's other Scrum workshops, you can bypass this program and focus on reading/studying the Scrum Guide and taking practice exams from Scrum.org The Product Owner is responsible for maximizing the value of the product and the work of the Development Team. The Product Owner must be knowledgeable, available, and empowered to make decisions quickly in order for an Agile project to be successful. The Product Owner's key accountability is the Product Backlog. Managing, maintaining, and evolving the Product Backlog involves: Establishing a clear vision that engages the Development Team and stakeholders Clearly expressing Product Backlog items Ordering the items in the Product Backlog to best achieve the vision and goals Ensuring that the Product Backlog is visible, transparent, and clear to all Working with the Development Team throughout the project to create a product that fits the customer's need What you will Learn You'll learn how to: Successfully prepare for the Scrum.org PSPO I exam Identify the characteristics of a successful Product Owner Create a powerful vision statement Apply techniques to understand your customers and the market Manage and engage stakeholders Write effective user stories with acceptance criteria Utilize techniques to visualize and prioritize the Product Backlog Participate in the 5 Scrum events as the Product Owner Understand the Product Owner's role in closing a Scrum project Getting Started Introductions Workshop orientation Exam prep preview Fundamentals Recap Agile Manifesto, values, and mindset Product Owner characteristics Good vs. great Product Owner Product Ownership Product ownership Project vision Understand your customers and market Personas Stakeholder management and engagement The Product Backlog User Stories and Acceptance Criteria Preparing User Stories for a Sprint The Product Backlog Visualizing the Product Backlog Product Backlog Prioritization Technical Debt Sprint Planning and Daily Standups Sprint Planning Planning Poker Team Engagement Daily Standups Sprint Review, Retrospectives, and Closing Sprint Reviews Key Agile Patterns Retrospectives Closing the Project

Duration 5 Days 30 CPD hours This course is intended for This intermediate and beyond level course is geared for experienced technical professionals in various roles, such as developers, data analysts, data engineers, software engineers, and machine learning engineers who want to leverage Scala and Spark to tackle complex data challenges and develop scalable, high-performance applications across diverse domains. Practical programming experience is required to participate in the hands-on labs. Overview Working in a hands-on learning environment led by our expert instructor you'll: Develop a basic understanding of Scala and Apache Spark fundamentals, enabling you to confidently create scalable and high-performance applications. Learn how to process large datasets efficiently, helping you handle complex data challenges and make data-driven decisions. Gain hands-on experience with real-time data streaming, allowing you to manage and analyze data as it flows into your applications. Acquire practical knowledge of machine learning algorithms using Spark MLlib, empowering you to create intelligent applications and uncover hidden insights. Master graph processing with GraphX, enabling you to analyze and visualize complex relationships in your data. Discover generative AI technologies using GPT with Spark and Scala, opening up new possibilities for automating content generation and enhancing data analysis. Embark on a journey to master the world of big data with our immersive course on Scala and Spark! Mastering Scala with Apache Spark for the Modern Data Enterprise is a five day hands on course designed to provide you with the essential skills and tools to tackle complex data projects using Scala programming language and Apache Spark, a high-performance data processing engine. Mastering these technologies will enable you to perform a wide range of tasks, from data wrangling and analytics to machine learning and artificial intelligence, across various industries and applications.Guided by our expert instructor, you?ll explore the fundamentals of Scala programming and Apache Spark while gaining valuable hands-on experience with Spark programming, RDDs, DataFrames, Spark SQL, and data sources. You?ll also explore Spark Streaming, performance optimization techniques, and the integration of popular external libraries, tools, and cloud platforms like AWS, Azure, and GCP. Machine learning enthusiasts will delve into Spark MLlib, covering basics of machine learning algorithms, data preparation, feature extraction, and various techniques such as regression, classification, clustering, and recommendation systems. Introduction to Scala Brief history and motivation Differences between Scala and Java Basic Scala syntax and constructs Scala's functional programming features Introduction to Apache Spark Overview and history Spark components and architecture Spark ecosystem Comparing Spark with other big data frameworks Basics of Spark Programming SparkContext and SparkSession Resilient Distributed Datasets (RDDs) Transformations and Actions Working with DataFrames Spark SQL and Data Sources Spark SQL library and its advantages Structured and semi-structured data sources Reading and writing data in various formats (CSV, JSON, Parquet, Avro, etc.) Data manipulation using SQL queries Basic RDD Operations Creating and manipulating RDDs Common transformations and actions on RDDs Working with key-value data Basic DataFrame and Dataset Operations Creating and manipulating DataFrames and Datasets Column operations and functions Filtering, sorting, and aggregating data Introduction to Spark Streaming Overview of Spark Streaming Discretized Stream (DStream) operations Windowed operations and stateful processing Performance Optimization Basics Best practices for efficient Spark code Broadcast variables and accumulators Monitoring Spark applications Integrating External Libraries and Tools, Spark Streaming Using popular external libraries, such as Hadoop and HBase Integrating with cloud platforms: AWS, Azure, GCP Connecting to data storage systems: HDFS, S3, Cassandra, etc. Introduction to Machine Learning Basics Overview of machine learning Supervised and unsupervised learning Common algorithms and use cases Introduction to Spark MLlib Overview of Spark MLlib MLlib's algorithms and utilities Data preparation and feature extraction Linear Regression and Classification Linear regression algorithm Logistic regression for classification Model evaluation and performance metrics Clustering Algorithms Overview of clustering algorithms K-means clustering Model evaluation and performance metrics Collaborative Filtering and Recommendation Systems Overview of recommendation systems Collaborative filtering techniques Implementing recommendations with Spark MLlib Introduction to Graph Processing Overview of graph processing Use cases and applications of graph processing Graph representations and operations Introduction to Spark GraphX Overview of GraphX Creating and transforming graphs Graph algorithms in GraphX Big Data Innovation! Using GPT and Generative AI Technologies with Spark and Scala Overview of generative AI technologies Integrating GPT with Spark and Scala Practical applications and use cases Bonus Topics / Time Permitting Introduction to Spark NLP Overview of Spark NLP Preprocessing text data Text classification and sentiment analysis Putting It All Together Work on a capstone project that integrates multiple aspects of the course, including data processing, machine learning, graph processing, and generative AI technologies.

Duration 3 Days 18 CPD hours This course is intended for This course is designed for project leaders, scrum masters, coaches, product owners, and team members who intend on taking the PMI-ACP© exam. This course provides participants with a foundation of the PMI-ACP© exam. Participants will be introduced to PMI Agile concepts and practices with banks of sample questions. PMI-ACP© Exam Preperation PMI-ACP© Exam Particulars Overview PMI-ACP© Exam Particulars PMI-ACP© Candidate Requirements PMI-ACP© Candidate Fees PMI-ACP© Exam Application Process Core Agile Concepts Core Agile Concepts Overview Traditional Project Management Methodologies Drawbacks of Waterfall Methodologies Agile Approach Empirical Process Control Agile and Traditional Project Management Choice of Methodologies/Frameworks The Agile Manifesto The Agile Manifesto Overview Manifesto Contributors Manifesto Values Manifesto Principles Common Agile Methodology Elements Common Agile Methodology Elements Overview Project (Product; Release) Initiation Agile Planning Iteration Planning and Executing Project Initiation Project Initiation Overview Determine Project Justifications and Metrics Provide Value-Driven Delivery Write Project Vision Statement Create Project Charter Identify Stakeholders and Leader/Coach Form Project Team Agile Teams and Team Space Agile Teams and Team Space Overview Scrum Master/Coach Product Owner/Customer Team Members/Developers (XP) Trackers and Testers Other Roles Team Space Physical Space Recommendations Agile Planning Agile Planning Overview Develop Epics and Stories Create Stories Non-Customer Facing Stories Personas and Extreme Personas Story Maps Estimating Stories Prioritizing Stories Create Product Backlog Create Product Roadmap Conduct Release Planning Create Parking Lot Iterations/Sprints Iterations/Sprints Overview Velocity Determination Iteration Planning Meeting Iteration Planning Guidelines Development Testing Daily Standup Meetings Progress Tracking Velocity Tracking Interpersonal Aspects of Agile Interpersonal Aspects of Agile Overview Methodologies and Uncertainty Coach/Scrum Master Team Motivation Soft Skills Emotional Intelligence Collaboration Negotiations Active listening Conflict Resolution Speed Leas? Model of Group Conflict Conducting Retrospectives Mindsets of Agile Coaches Leadership Stages Key Coaching Responsibilities Agile Methodologies Agile Methodologies Overview XP and Scrum Terms XP Terms and Concepts XP Primary Practices XP Corollary Practices Scrum Lean Software Development Seven Principles of Lean Seven Types of Muda Responsibilities Core Beliefs of Lean-Agile Software Development Other Principles of Lean-Agile Software Development Value Stream Mapping Lean-Agile Software Development Portfolio Management Additional course details: Nexus Humans PMI Agile Certified Practitioner (PMI-ACP) Exam Preparation training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the PMI Agile Certified Practitioner (PMI-ACP) Exam Preparation course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

PMI-ACP® Exam Prep: In-House Training This course builds on the candidates' practical experience of Agile in the workplace to equip them with the broad range of knowledge and skills required for the PMI® Agile Certification exam. It will follow the PMI® requirements and reference the suggested reading list, including the Agile Practice Guide, but will not be limited to those areas. Within the profession and discipline of project management, Agile continues to develop as a significant and important aspect of bringing change to an organization. Where the products of change must be delivered to the business 'on time,' Agile is often the chosen methodology. In addition to equipping candidates for the PMI® Agile Certification examination, this course will also support candidates in taking a more informed and effective role in Agile projects. It will also enable them to take a significant role in encouraging and enabling the organization to become or develop as an Agile environment. What you will Learn You will learn how to: Appreciate the wider aspects of Agile project management tools and techniques Integrate various disciplines within Agile Tailor / customize Agile to suit the needs of different projects Prepare yourself for the PMI® Agile Certification examination Getting Started Introductions Agenda Expectations Foundation Concepts Defining 'Traditional' Project Management Project management parameters The 'traditional' approach to the parameters Strengths and weaknesses of the traditional approach Defining 'Agile' Project Management Project management parameters revisited The 'agile' approach to the parameters Strengths and weaknesses of agile Managing projects with traditional and agile methods Can the two approaches co-exist? Leveraging the benefits of both methods Options for using both methods on a project Avoiding the elephant traps Key aspects of the PMI® Agile Certified Practitioner (PMI-ACP)® Handbook Overview Eligibility requirements Exam information Exam Blueprint Continuing certification requirements Key aspects of the PMI Agile Certification Examination Content Outline Introduction Agile exam content outline Tools and techniques Knowledge and skills Domains and tasks (not examined) An Introduction to Agile and Implementing Agile Definable work vs. high-uncertainty work Project factors that influence tailoring The Agile Manifesto and 12 Principles Agile mindset Agile domains and tasks Agile Tools and Techniques Related to PM 'Hard Skills' Planning, monitoring, and adapting The need for planning, monitoring, and adapting The Agile approach to planning and plans The Agile planning tools and techniques The Agile monitoring tools and techniques The Agile approach to adapting Product quality A definition of 'product quality' Setting the standard for product quality Agile tools and techniques for achieving product quality Risk management A definition of 'risk' What is 'at risk'? The acceptability of risks The Agile tools and techniques for managing risks Agile Tools and Techniques Related to PM 'Soft Skills' The difference between PM 'hard and soft' skills Communications The importance of communications Forms of agile communications Communications within the project Communications from the project Communications to the project Making communications the cultural norm Interpersonal Skills Defining and understanding management Defining and understanding leadership Defining and understanding servant leadership Delegating vs. empowering Playing to people's strengths Overcoming the roadblocks Core Agile Tools and Techniques The philosophy of core Agile tools and techniques Agile estimation Will traditional forms of estimating work for agile? The relationship between estimating and guessing The relationship between estimating and sizing The where, who, and how of agile estimating Agile analysis and design Product analysis and design from a user point of view Product analysis and design from a supplier point of view Product analysis and design from an agile project point of view Value-Based Agile Tools and Techniques The role of value-based tools and techniques in bridging traditional PM with Agile Value-based prioritization Value-based prioritization and agile projects Investment appraisal methods Regulatory driven Customer driven Ranking methods (MMF, MoSCoW) Metrics What should we measure / track? Methods of measuring / tracking Adding value with metrics Process Improvement Value-stream analysis Value-stream mapping Agile Knowledge and Skills Context of Agile Knowledge and Skills vis-à-vis Agile Tools and Techniques Agile Knowledge and Skills Process focused People focused Product focused Project focused Exam Preparation and Course Closure The application process - where are you now? The 'Exam-Focused Journal' - what you still have to do Further preparation - self-study schedule Exam topic review Practice exam Practice exam debrief Course closure

Duration 2 Days 12 CPD hours This course is intended for This class is intended for PMP?s looking to earn PDU's, or for Project Managers looking to learn more about Project Scope and Schedule Management techniques. This course provides participants with tools and techniques to help them determine and deliver products, services, and results that meet requirements, expectations, and deadlines. NOTE: This course will earn you 14 PDUs. 1 - PROJECT SCOPE AND TIME MANAGEMENT OVERVIEW Project Scope Management Overview Project Scope Mgt. Processes and Key Outputs Project Time Management Overview Project Time Mgt. Processes and Key Outputs Case Study Selection Requirements, Scope, and Negotiations 2 - PLAN SCOPE AND SCHEDULE MANAGEMENT Plan Scope and Schedule Mgt. Overview The Scope Management Plan The Requirements Management Plan The Schedule Management Plan 3 - COLLECT REQUIREMENTS Collect Requirements Overview Types of Requirements Effective Product/Solution Requirements Other Stakeholders and Requirements Collect Requirements Techniques Voice of the Customer Requirements Traceability Matrix 4 - DEFINE SCOPE Define Scope Overview Project Scope Statement Sections Create a Project Scope Statement 5 - CREATE WBS Create WBS Overview WBS by Deliverable WBS by Phase When to Subdivide a Work Package Further Effective WBSs General Process for Creating the WBS Create a WBS 6 - DEFINE ACTIVITIES Define Activities Overview Practical Considerations for Defining Activities Activities and Steps Milestones Create Activities and Milestones 7 - SEQUENCE ACTIVITIES Develop Schedule Overview Critical Path Resource Optimization ? Resource Leveling Resource Optimization ? Resource Smoothing Resolve Overallocations Critical Chain Schedule Compression Techniques 8 - ESTIMATE ACTIVITY RESOURCES Estimate Activity Resources Overview Resource Breakdown Structure Estimate Activity Resources Assign Resources to Activities 9 - ESTIMATE ACTIVITY DURATIONS Estimate Activity Durations Overview Expert Judgment Ratio Estimating Analogous Estimating Parametric Estimating Forecasting Three Point Estimating and PERT Estimating Reserves Estimate Activity Durations 10 - DEVELOP SCHEDULE Develop Schedule Overview Critical Path Resource Optimization ? Resource Leveling Resource Optimization ? Resource Smoothing Resolve Overallocations Critical Chain Schedule Compression Techniques 11 - VALIDATE SCOPE Validate Scope Overview Verify Scope Best Practices Create a Scope Validation Form 12 - CONTROL SCOPE AND SCHEDULE Control Scope Overview Control Schedule Overview Control Scope Best Practices Change Control Stakeholders Determine Change Control Stakeholders Change Control Process Change Request Form

Duration 2 Days 12 CPD hours This course is intended for This course is for IT network or security professionals who have practical experience with the ProxySG in the field and wish to master the advanced network security of the ProxySG. Overview Solve common authentication and SSL issuesUnderstand the underlying architecture of SGOSMonitor and analyze ProxySG performanceUse policy tracing as a troubleshooting tool The ProxySG 6.6 Advanced Administration course is intended for IT professionals who wish to learn to master the advanced features of the ProxySG. Using Authentication Realms Describe the benefits of enabling authentication on the ProxySG Describe, at a high level, the ProxySG authentication architecture Understand the use of IWA realms, with both IWA Direct and IWA BCAAA connection methods Understanding Authentication Credentials Describe how NTLM and Kerberos authentication work in both IWA direct and IWA BCAAA deployments Configure the ProxySG to use Kerberos authentication Understanding Authentication Modes Describe authentication surrogates and authentication modes Describe ProxySG authentication in both explicit and transparent deployment mode Understanding HTTPS Describe key components of SSL encryption Describe how the SSL handshake works Describe some of the legal and security considerations related to use of the SSL proxy Managing SSL Traffic on the ProxySG Describe how the SSL proxy service handles SSL traffic Describe the standard keyrings that are installed by default on the ProxySG Identify the types of security certificates that the ProxySG uses Optimizing SSL Interception Performance Configure the ProxySG to process SSL traffic according to best practices for performance SGOS Architecture Identify key components of SGOS Explain the interaction among client workers and software workers in processing client requests Explain the significance of policy checkpoints Describe key characteristics of the SGOS storage subsystem Explain the caching behavior of the ProxySG Caching Architecture Describe the benefits of object caching on the ProxySG Explain the caching-related steps in a ProxySG transaction Identify and describe the HTTP request and response headers related to caching Describe, in general terms, how the ProxySG validates cached objects to ensure freshness Explain how the ProxySG uses cost-based deletion, popularity contests, and pipelining to improve object caching System Diagnostics Describe the use of the health monitor and health checks Explain the use of the event and access logs Describe the information available in advanced URLs and sysinfo files Describe the function of policy tracing and packet captures Introduction to Content Policy Language (CPL) Describe the fundamental concepts and purposes of ProxySG policy transactions Understand the relationship of layers, rules, conditions, properties, and triggers Describe the two types of actions in CPL Describe how to write, edit, and upload CPL code Using Policy Tracing for Troubleshooting Identify the two main types of ProxySG policy traces Describe the various sections of a policy trace result Configure a global and policy-driven trace Access and interpret policy trace results ProxySG Integration Identify other Symantec products that can be used as part of a complete security solution

Duration 1 Days 6 CPD hours This course is intended for To gain the most from attending this course you should possess the following incoming skills: Basic knowledge of programming concepts and syntax in Python. Familiarity with common data formats such as CSV, JSON, and XML. Experience using command-line interfaces and basic text editing tools. Understanding of basic machine learning concepts and algorithms. Overview Working in an interactive learning environment, led by our engaging expert, you will: Gain a solid understanding of prompt engineering concepts and their applications in software development and AI-driven solutions. Master the techniques for preprocessing and cleaning text data to ensure high-quality inputs for AI models like GPT-4. Develop expertise in GPT-4 tokenization, input formatting, and controlling model behavior for various tasks and requirements. Acquire the ability to design, optimize, and test prompts effectively, catering to diverse business applications and use cases. Learn advanced prompt engineering techniques, such as conditional text generation and multi-turn conversations, to create more sophisticated AI solutions. Practice creating prompts to generate, run, and test code in a chosen programming language using GPT-4 and OpenAI Codex. Understand the ethical implications and best practices in responsible AI deployment, ensuring fair and unbiased AI applications in software development. Prompt Engineering offers coders and software developers a competitive edge by empowering them to develop more effective and efficient AI-driven solutions in their projects. By harnessing the capabilities of cutting-edge AI models like GPT-4, coders can automate repetitive tasks, enhance natural language understanding, and even generate code suggestions, boosting productivity and creativity. In addition, mastering prompt engineering can contribute to improved job security, as professionals with these in-demand skills are highly sought after in the rapidly evolving tech landscape. Quick Start to Prompt Engineering for Coders and Software Developers is a one day course designed to get you quickly up and running with the prompting skills required to out AI to work for you in your development efforts. Guided by our AI expert, you?ll explore key topics such as text preprocessing, data cleansing, GPT-4 tokenization, input formatting, prompt design, and optimization, as well as ethical considerations in prompt engineering. In the hands-on labs you?ll explore tasks such as formatting inputs for GPT-4, designing and optimizing prompts for business applications, and implementing multi-turn conversations with AI. You?ll work with innovative tools like the OpenAI API, OpenAI Codex, and OpenAI Playground, enhancing your learning experience while preparing you for integrating prompt engineering into your professional toolkit. By the end of this immersive course, you?ll have the skills necessary to effectively use prompt engineering in your software development projects. You'll be able to design, optimize, and test prompts for various business tasks, integrate GPT-4 with other software platforms, and address ethical concerns in AI deployment. Introduction to Prompt Engineering Overview of prompt engineering and its importance in AI applications Major applications of prompt engineering in business Common challenges faced in prompt engineering Overview of GPT-4 and its role in prompt engineering Key terminology and concepts in prompt engineering Getting Things Ready: Text Preprocessing and Data Cleansing Importance of data preprocessing in prompt engineering Techniques for text cleaning and normalization Tokenization and n-grams Stop word removal and stemming Regular expressions and pattern matching GPT-4 Tokenization and Input Formatting GPT-4 tokenization and its role in prompt engineering Understanding and formatting GPT-4 inputs Context windows and token limits Controlling response length and quality Techniques for handling out-of-vocabulary tokens Prompt Design and Optimization Master the skills to design, optimize, and test prompts for various business tasks. Designing effective prompts for different tasks Techniques for prompt optimization GPT-4 system and user parameters for controlling behavior Importance of prompt testing and iteration Best practices for prompt engineering in business applications Advanced Techniques and Tools in Prompt Engineering Learn advanced techniques and tools for prompt engineering and their integration in business applications. Conditional text generation with GPT-4 Techniques for handling multi-turn conversations Overview of tools for prompt engineering: OpenAI API, OpenAI Codex, and OpenAI Playground Integration of GPT-4 with other software platforms and tools Monitoring and maintaining prompt performance Code Generation and Testing with Prompt Engineering Develop the skills to generate, integrate, and test AI-generated code effectively, enhancing productivity and creativity in software development projects. Introduction to code generation with AI models like GPT-4 Designing prompts for code generation across programming languages Techniques for specifying requirements and constraints in prompts Generating and interpreting code snippets using AI-driven solutions Integrating generated code into existing projects and codebases Best practices for testing and validating AI-generated code Ethics and Responsible AI Understand the ethical implications of prompt engineering and the importance of responsible AI deployment in business. Ethical considerations in prompt engineering Bias in AI systems and its impact on prompt engineering Techniques to minimize bias and ensure fairness Best practices for responsible AI deployment in business applications Monitoring and addressing ethical concerns in prompt engineering

Our GMAT preparation courses are tailored to help you excel in all sections of the exam—Quantitative, Verbal, Integrated Reasoning, and Analytical Writing. We offer long-term, short-term, and intensive course options to suit your schedule and preparation needs. Whether you're a beginner or looking to refine your skills, our programs are designed for all levels. To get started, we provide a free consultation with one of our GMAT experts to discuss your goals, along with an assessment test to gauge your current level. Master the GMAT with personalised strategies and expert guidance. The Graduate Management Admission Test Preparation Intensive Course - Score-boosting methods in data sufficiency and critical reasoning show you how to think like the test. - 5 full-length, computer-based practice tests - 2,000+ practice questions (including Qbank) The Graduate Management Admission Test Preparation Intensive Course - Score-boosting methods in data sufficiency and critical reasoning show you how to think like the test. - 9 full-length, computer-based practice tests - 5,000+ practice questions (including Qbank)

PMI-ACP® Exam Prep: Virtual In-House Training This course builds on the candidates' practical experience of Agile in the workplace to equip them with the broad range of knowledge and skills required for the PMI® Agile Certification exam. It will follow the PMI® requirements and reference the suggested reading list, including the Agile Practice Guide, but will not be limited to those areas. Within the profession and discipline of project management, Agile continues to develop as a significant and important aspect of bringing change to an organization. Where the products of change must be delivered to the business 'on time,' Agile is often the chosen methodology. In addition to equipping candidates for the PMI® Agile Certification examination, this course will also support candidates in taking a more informed and effective role in Agile projects. It will also enable them to take a significant role in encouraging and enabling the organization to become or develop as an Agile environment. What you will Learn You will learn how to: Appreciate the wider aspects of Agile project management tools and techniques Integrate various disciplines within Agile Tailor / customize Agile to suit the needs of different projects Prepare yourself for the PMI® Agile Certification examination Getting Started Introductions Agenda Expectations Foundation Concepts Defining 'Traditional' Project Management Project management parameters The 'traditional' approach to the parameters Strengths and weaknesses of the traditional approach Defining 'Agile' Project Management Project management parameters revisited The 'agile' approach to the parameters Strengths and weaknesses of agile Managing projects with traditional and agile methods Can the two approaches co-exist? Leveraging the benefits of both methods Options for using both methods on a project Avoiding the elephant traps Key aspects of the PMI® Agile Certified Practitioner (PMI-ACP)® Handbook Overview Eligibility requirements Exam information Exam Blueprint Continuing certification requirements Key aspects of the PMI Agile Certification Examination Content Outline Introduction Agile exam content outline Tools and techniques Knowledge and skills Domains and tasks (not examined) An Introduction to Agile and Implementing Agile Definable work vs. high-uncertainty work Project factors that influence tailoring The Agile Manifesto and 12 Principles Agile mindset Agile domains and tasks Agile Tools and Techniques Related to PM 'Hard Skills' Planning, monitoring, and adapting The need for planning, monitoring, and adapting The Agile approach to planning and plans The Agile planning tools and techniques The Agile monitoring tools and techniques The Agile approach to adapting Product quality A definition of 'product quality' Setting the standard for product quality Agile tools and techniques for achieving product quality Risk management A definition of 'risk' What is 'at risk'? The acceptability of risks The Agile tools and techniques for managing risks Agile Tools and Techniques Related to PM 'Soft Skills' The difference between PM 'hard and soft' skills Communications The importance of communications Forms of agile communications Communications within the project Communications from the project Communications to the project Making communications the cultural norm Interpersonal Skills Defining and understanding management Defining and understanding leadership Defining and understanding servant leadership Delegating vs. empowering Playing to people's strengths Overcoming the roadblocks Core Agile Tools and Techniques The philosophy of core Agile tools and techniques Agile estimation Will traditional forms of estimating work for agile? The relationship between estimating and guessing The relationship between estimating and sizing The where, who, and how of agile estimating Agile analysis and design Product analysis and design from a user point of view Product analysis and design from a supplier point of view Product analysis and design from an agile project point of view Value-Based Agile Tools and Techniques The role of value-based tools and techniques in bridging traditional PM with Agile Value-based prioritization Value-based prioritization and agile projects Investment appraisal methods Regulatory driven Customer driven Ranking methods (MMF, MoSCoW) Metrics What should we measure / track? Methods of measuring / tracking Adding value with metrics Process Improvement Value-stream analysis Value-stream mapping Agile Knowledge and Skills Context of Agile Knowledge and Skills vis-à-vis Agile Tools and Techniques Agile Knowledge and Skills Process focused People focused Product focused Project focused Exam Preparation and Course Closure The application process - where are you now? The 'Exam-Focused Journal' - what you still have to do Further preparation - self-study schedule Exam topic review Practice exam Practice exam debrief Course closure