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Certified Business Relationship Manager (CBRM®): In-House Training The CBRM® Practitioner Qualification is intended for the intermediate-to-advanced Business Relationship Manager, as it focuses on advancing to the role of Strategic Business Relationship Manager. As such, the primary focus is on strategic business relationship management, leveraged to optimize business value to the enterprise. The purpose of the Practitioner qualification is to confirm whether the candidate has achieved sufficient understanding and competence to perform the role of Strategic Business Relationship Manager. To pursue the CBRM® certification, a candidate must be a certified Business Relationship Management Professional (BRMP®).

Machine literacy in data wisdom is a fleetly expanding discipline and now is the crucial element. This groundbreaking field equips computers and systems with the capacity to learn from data and ameliorate their performance over time without unequivocal programming. Statistical ways are employed to train algorithms to produce groups or prognostications and to find significant findings in data mining systems. immaculately, the conclusions made from these perceptivity impact crucial growth pointers in operations and companies. What's Machine Learning? . Machine learning classes in pune The machine literacy term was chased by Arthur Samuel in 1959. It's the discipline solely concentrated on studying and erecting tools and ways that can let machines learn. These styles use data to enhance the computer performance of a particular set of tasks. Machine literacy algorithms induce prognostications or possibilities and produce a model grounded on data samples, also called training data. There's a need for machine literacy as these algorithms are applied in a broad range of operations, for illustration, computer vision, dispatch filtering, speech recognition, husbandry, and drugs, where it's a challenge to produce traditional algorithms that can negotiate the needed tasks. orders in Machine Learning Being such a vast and complicated field, machine literacy is divided into three different orders machine literacy orders Supervised literacy – In this system, the algorithm is trained using data that has been labeled and in which the target variable or asked result is known. Once trained, the algorithm may make prognostications grounded on unidentified information by learning how to associate input variables with the willed affair. Unsupervised literacy – In this case, the algorithm is trained on unlabeled data, and its thing is to discover structures or patterns within the data without having a specific target variable in mind. Common unsupervised literacy tasks include dimensionality reduction and clustering. underpinning literacy – An algorithm is trained via relations with the terrain in this type of literacy. The algorithm learns how to operate in order to maximize a price signal or negotiate a particular ideal. Through prices or penalties, it receives feedback that helps it upgrade its decision-making process. Artificial Intelligence and Machine Learning Artificial intelligence( AI) is divided into several subfields, and machine literacy( ML) is one of them. In order to produce intelligent machines that can pretend mortal intelligence, a variety of methodologies, approaches, and technologies are used. This notion is known as artificial intelligence( AI). The development of ways and models that allow computers to acquire knowledge from data and make recommendations or judgments without unequivocal programming is the focus of machine literacy( ML). Some academics were interested in the idea of having machines learn from data in the early stages of AI as an academic field. They tried to approach the issue using colorful emblematic ways and neural networks. They were primarily perceptrons, along with other models that were ultimately discovered to be reimaginings of the generalized direct models of statistics. For this case, you aim to make a system secerning cows and tykes. With the AI approach, you'll use ways to make a system that can understand the images with the help of specific features and rules you define. Machine literacy models will bear training using a particular dataset of pre-defined images. You need to give numerous farmlands of cows and tykes with corresponding markers. Why is Machine Learning Important? Machine literacy is an abecedarian subfield of artificial intelligence that focuses on assaying and interpreting patterns and structures in data. It enables logic, literacy, and decision-making outside of mortal commerce. The significance of machine literacy is expanding due to the extensively more expansive and more varied data sets, the availability and affordability of computational power, and the availability of high-speed internet. It facilitates the creation of new products and provides companies with a picture of trends in consumer geste and commercial functional patterns. Machine literacy is a high element of the business operations of numerous top enterprises, like Facebook, Google, and Uber. Prophetic Analytics Machine learning course in pune Machine literacy makes prophetic analytics possible by using data to read unborn results. It's salutary in the fields of finance, healthcare, marketing, and logistics. Associations may prognosticate customer growth, spot possible troubles, streamline operations, and take visionary action to ameliorate results using prophetic models. Personalization and recommendation systems Machine literacy makes recommendation systems and substantiated gests possible, impacting every aspect of our diurnal lives. Platforms like Netflix, Amazon, and Spotify use machine literacy algorithms to comprehend stoner preferences and offer substantiated recommendations. Personalization boosts stoner pleasure and engagement while promoting business expansion. Image and speech recognition Algorithms for machine literacy are particularly good at jobs like speech and picture recognition. Deep literacy, a branch of ML, has converted computer vision and natural language processing. It makes it possible for machines to comprehend, dissect, and produce visual and audio input. This technology is helpful for driverless vehicles, surveillance, medical imaging, and availability tools, among other effects. Machine learning training in pune

Change Management Foundation This course provides practical knowledge on Change Management techniques and the Foundation certification. You will examine various Change Management techniques and explore which could be effectively implemented in your organization. The structured approach helps you understand how you deal with change as an individual, as a member of a team or organization, and as a leader. The program design explores the impact that change has on these four major areas: Change and the Individual Change and the Organization Communications and Stakeholder Engagement Change Management Practice This course also prepares you for the APMG Change Management Foundation exam. Given that a primary course goal is to achieve the Foundation Certification, the course text will be provided in advance of the workshop so the participant may begin studying. In addition, daily homework assignments and practice exams will be provided. The Foundation-level exam is taken at the end of the third day of the Traditional Classroom course. Virtual Classroom participants must make separate arrangements to schedule their exam following course completion (See 'Important Note for Virtual Course Participants'). What You Will Learn You'll learn how to: Explain how individuals learn and why many may resist change Illustrate how to build an effective change team Describe the stakeholder engagement process and relate this to appropriate communication Differentiate various approaches to plan, implement, and sustain organizational change Demonstrate how to assess change impact and readiness, and deal with resistance Improve your ability to pass the APMG Change Management Foundation Certification exam Getting Started Introductions Course structure Course goals and objectives Change and the Individual How people learn Personality and change - introduction to MBTI Models of individual change - the Change Curve and Bridges' Transition Motivating individuals during change Change and the Organization Understanding organizational metaphors Organizational culture and change 3 models of change - Lewin, Kotter, and Senge Key roles in change Stakeholder Engagement Identifying and analyzing stakeholders Personas and empathy maps Influencing strategies Communication Feedback and communication approaches Communicating change - planning, factors, and barriers Communication biases and channels Change Impact Identifying and assessing change impact Stakeholder impact assessment Change severity assessment Change Readiness Building change agent networks and the change team How to make the organization ready for change Creating a change management plan Dealing with resistance to change APMG Change Management Foundation Exam Preparation Review of and practice with APMG sample questions and test papers APMG Change Management Foundation Exam Traditional Classroom: Paper-based exams will be taken on the last day of class Virtual Classroom: The exam is scheduled by the Participant and taken subsequent to the course

Change Management Foundation: In-House Training: In-House Training This course provides practical knowledge on Change Management techniques and the Foundation certification. You will examine various Change Management techniques and explore which could be effectively implemented in your organization. The structured approach helps you understand how you deal with change as an individual, as a member of a team or organization, and as a leader. The program design explores the impact that change has on these four major areas: Change and the Individual Change and the Organization Communications and Stakeholder Engagement Change Management Practice This course also prepares you for the APMG Change Management Foundation exam. Given that a primary course goal is to achieve the Foundation Certification, the course text will be provided in advance of the workshop so the participant may begin studying. In addition, daily homework assignments and practice exams will be provided. The Foundation-level exam is taken at the end of the third day of the Traditional Classroom course. Virtual Classroom participants must make separate arrangements to schedule their exam following course completion (See 'Important Note for Virtual Course Participants'). What You Will Learn You'll learn how to: Explain how individuals learn and why many may resist change Illustrate how to build an effective change team Describe the stakeholder engagement process and relate this to appropriate communication Differentiate various approaches to plan, implement, and sustain organizational change Demonstrate how to assess change impact and readiness, and deal with resistance Improve your ability to pass the APMG Change Management Foundation Certification exam Getting Started Introductions Course structure Course goals and objectives Change and the Individual How people learn Personality and change - introduction to MBTI Models of individual change - the Change Curve and Bridges' Transition Motivating individuals during change Change and the Organization Understanding organizational metaphors Organizational culture and change 3 models of change - Lewin, Kotter, and Senge Key roles in change Stakeholder Engagement Identifying and analyzing stakeholders Personas and empathy maps Influencing strategies Communication Feedback and communication approaches Communicating change - planning, factors, and barriers Communication biases and channels Change Impact Identifying and assessing change impact Stakeholder impact assessment Change severity assessment Change Readiness Building change agent networks and the change team How to make the organization ready for change Creating a change management plan Dealing with resistance to change APMG Change Management Foundation Exam Preparation Review of and practice with APMG sample questions and test papers APMG Change Management Foundation Exam Traditional Classroom: Paper-based exams will be taken on the last day of class Virtual Classroom: The exam is scheduled by the Participant and taken subsequent to the course

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Project Contract Management Skills Contracts are a critical part of most large or strategic projects/programs. As such, it is imperative that Project and Program Managers be well versed on basic implications of a contract as well as best practices in contract management. While not as critical a need, anyone involved in projects that involve external relationships should have a healthy appreciation for the power of good contract management. The overall goal of the course is to provide knowledge to manage complex contracts in a global environment. What You Will Learn After this program, you will be able to: Explain overall project procurement process from a buyer and seller perspective Recognize the importance of key contractual terms and how they affect projects Evaluate and contribute to the pre-contract documents and processes Identify and mitigate common pitfalls throughout the procurement process Utilize techniques to administer contracts Getting Started Introductions Course structure Course goals and objectives Foundation Concepts The Importance of Contract Management Terms and Definitions Contract Management Process Legal Systems Codes of Conduct Planning Business Analysis Procurement Management Plan Procurement Statement of Work (SOW) Common Pitfalls Solicit Contract Market Analysis Bid documents Sellers' Proposals Pitfalls Execute Contract Evaluate and Award Contract Negotiate Contract Execute Contract Common Pitfalls Deliver the Contract Preparing to Deliver Project Plan Risk Management Common Pitfalls Administer Contract Enabling Contract Management Contract Performance Monitoring and Control Change Management Financial Management / Payment Dispute Management & Resolution Contract Completion and Closure

Project Contract Management Skills: In-House Training Contracts are a critical part of most large or strategic projects/programs. As such, it is imperative that Project and Program Managers be well versed on basic implications of a contract as well as best practices in contract management. While not as critical a need, anyone involved in projects that involve external relationships should have a healthy appreciation for the power of good contract management. The overall goal of the course is to provide knowledge to manage complex contracts in a global environment. What You Will Learn After this program, you will be able to: Explain overall project procurement process from a buyer and seller perspective Recognize the importance of key contractual terms and how they affect projects Evaluate and contribute to the pre-contract documents and processes Identify and mitigate common pitfalls throughout the procurement process Utilize techniques to administer contracts Getting Started Introductions Course structure Course goals and objectives Foundation Concepts The Importance of Contract Management Terms and Definitions Contract Management Process Legal Systems Codes of Conduct Planning Business Analysis Procurement Management Plan Procurement Statement of Work (SOW) Common Pitfalls Solicit Contract Market Analysis Bid documents Sellers' Proposals Pitfalls Execute Contract Evaluate and Award Contract Negotiate Contract Execute Contract Common Pitfalls Deliver the Contract Preparing to Deliver Project Plan Risk Management Common Pitfalls Administer Contract Enabling Contract Management Contract Performance Monitoring and Control Change Management Financial Management / Payment Dispute Management & Resolution Contract Completion and Closure

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This foundational course will help all managers better understand what a procurement function does, including the processes, tools and techniques it employs to reach its goals and how it measures its business performance. PARTICIPANTS WILL LEARN HOW TO: Explain the contribution of procurement to the overall business objectives. Explain the added value that can be obtained by a business when it manages its procurement activities efficiently and effectively. Understand the complex activity of procurement and the challenges it presents for risk management. Develop good quality procurement practices that will manage the expectations of all stakeholders Identify methods by which a procurement function can be measured and performance monitored. Perform contract management activities. Understand ways in which improvements might be identified and implemented. COURSE TOPICS INCLUDE: Procurement and business objectives Stakeholder Management Commercial Specifications Whole Life Costing Targeted procurement Procurement planning Supplier Appraisal and selection RFQ & ITT & Evaluation Contract Management