3082 Development courses in Manchester delivered Live Online

Course Objectives By the end of this course, participants will be able to: Differentiate between coaching and mentoring and understand their unique purposes. Apply effective communication and active listening skills in developmental conversations. Use coaching models to guide structured conversations. Build trust and psychological safety in coaching and mentoring relationships. Create actionable development plans and track progress. Understand ethical boundaries and confidentiality. Course Outline Day 1: Foundations of Coaching and Mentoring Session 1: Introduction and Context What is coaching? What is mentoring? Key differences and when to use each Benefits to individuals and organisations Session 2: Core Skills for Effective Coaching and Mentoring Active listening Powerful questioning Giving and receiving feedback Empathy and emotional intelligence Session 3: Building Trust and Creating Psychological Safety Establishing rapport Confidentiality and ethical guidelines Setting boundaries and expectations Session 4: Coaching Models and Frameworks GROW Model (Goal, Reality, Options, Will) OSKAR and CLEAR frameworks Practical application and role play Day 2: Practising and Embedding Coaching and Mentoring Session 5: The Coaching and Mentoring Conversation Structuring conversations Using real-life workplace examples Practice with feedback Session 6: Setting Goals and Development Plans SMART and CLEAR goal setting Creating growth-focused action plans Monitoring progress and accountability Session 7: Mentoring for Career and Leadership Development Mentor roles and responsibilities Supporting long-term growth and resilience Reverse mentoring and cross-generational partnerships Session 8: Embedding a Coaching and Mentoring Culture How to support coaching within your team or organisation Integrating into performance conversations Sustaining development through peer coaching and communities of practice Assessment and Evaluation Participation in discussions and practical activities Feedback on peer coaching/mentoring exercises Optional personal development plan submission Course Materials Provided Participant workbook Coaching and mentoring toolkit (templates, models, guides) Suggested reading and resource list

Course Duration: Half-day or full-day program (with virtual delivery options) Target Audience: Mid-to-senior level leaders, executives, managers, HR professionals, and leadership development coaches looking to enhance their leadership capabilities and create high-performing teams. Course Objectives By the end of this course, participants will be able to: Understand the role of coaching in leadership development and high-impact performance. Learn effective coaching strategies to inspire and elevate team performance. Develop skills in active listening, providing feedback, and fostering accountability. Enhance their ability to set clear goals, motivate teams, and create a culture of continuous improvement. Build an action plan for coaching their teams towards high-impact performance. Course Outline Module 1: The Role of Leadership in High-Impact Performance What defines high-impact leadership and performance? The difference between managing and coaching: leadership approaches that drive results The impact of leadership on organisational culture, productivity, and morale Essential leadership competencies for driving high performance Module 2: The Coaching Mindset Understanding the coaching mindset: shifting from directive leadership to empowering leadership Coaching as a tool for leadership development and team performance The benefits of a growth mindset in leadership and performance Key attributes of an effective coach: empathy, active listening, emotional intelligence Module 3: Key Coaching Skills for Leaders Active listening: asking the right questions, listening beyond the words Giving and receiving feedback: providing constructive feedback to motivate and improve performance Building rapport and trust with team members Coaching for growth: helping individuals unlock their potential and build confidence Challenging and supporting: knowing when to push for growth and when to provide support Module 4: Setting Clear, Achievable Goals The importance of goal-setting in coaching for high-performance Setting SMART goals (Specific, Measurable, Achievable, Relevant, Time-bound) Aligning team goals with organisational objectives and strategy Techniques for holding team members accountable to their goals Creating a culture of continuous feedback and improvement Module 5: Motivating and Inspiring Teams The psychology of motivation: intrinsic vs extrinsic motivation Leveraging strengths: identifying and utilising team members’ core strengths for high impact Building team ownership: fostering a sense of responsibility and autonomy Using recognition and reward systems to motivate performance Building resilience: coaching through setbacks and challenges Module 6: Coaching for Performance and Development Balancing short-term performance goals with long-term development needs Identifying potential and growth opportunities in your team Conducting effective one-on-one coaching sessions: structure and frameworks Using assessments and data to drive coaching decisions (e.g., 360-degree feedback, performance metrics) Encouraging self-reflection and self-coaching in team members Module 7: Leading through Change and Uncertainty Coaching leaders to navigate change: resilience in times of uncertainty The role of leadership in creating clarity and stability during change Helping teams embrace change and uncertainty with a growth mindset Leading with emotional intelligence during periods of transition Module 8: Action Planning for High-Impact Leadership Coaching Reflecting on your coaching style and leadership strengths Developing an action plan for coaching individual team members and leading high-performing teams Defining key coaching strategies and techniques for ongoing leadership development Creating a culture of feedback and continuous growth within your team Setting up regular check-ins and performance reviews to monitor progress Delivery Style Highly interactive with coaching demonstrations, role-playing, and peer-to-peer coaching exercises Real-world case studies and leadership scenarios to apply key concepts Practical tools, templates, and frameworks for implementing coaching in the workplace Personal action planning for leadership development and team performance Group discussions and reflection activities Course Materials Provided Leadership Coaching Framework and Templates SMART Goals Worksheet and Coaching Conversation Guide Feedback and Accountability Tools Leadership Development Action Plan Resource list: Books, podcasts, and articles on leadership coaching Optional Add-ons One-on-one leadership coaching sessions for personalised development Post-course check-ins and follow-up coaching to track progress Group coaching sessions for team leaders to share best practices and support one another Tailored modules focused on specific leadership challenges (e.g., change management, team dynamics)

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Home Based Childcare Course Course Overview The Home-Based Childcare Course is designed for individuals who wish to work with children in a home environment, offering key insights into child development and the responsibilities of providing care in a domestic setting. This course covers essential topics such as safeguarding, communication, behaviour management, and health and safety, all tailored to ensure learners are fully equipped to provide safe and nurturing care. By the end of the course, learners will understand the requirements for setting up and maintaining a child-focused environment, making this an ideal foundation for anyone looking to start a career in home-based childcare or enhance their current skills. Course Description This course explores the important aspects of home-based childcare, from understanding child development to managing the day-to-day tasks involved in running a childcare business from home. Topics include child protection, the importance of creating a safe and stimulating environment, and effective communication strategies with both children and parents. Learners will also gain insights into legal and ethical considerations, including key legislation and best practices for ensuring the health and safety of children under their care. Through structured modules, learners will develop a comprehensive understanding of the childcare industry, enabling them to confidently support children's growth and well-being. The course materials, including engaging content and assessments, ensure a thorough and rewarding learning experience. Home Based Childcare Course Curriculum Module 01: Introduction to Home-Based Childcare Module 02: Understanding Child Development Module 03: Safeguarding and Protection Procedures Module 04: Creating a Safe and Stimulating Environment Module 05: Behaviour Management Strategies Module 06: Health, Safety, and First Aid Module 07: Legal and Ethical Considerations Module 08: Working with Parents and Families Module 09: Setting Up a Home-Based Childcare Business (See full curriculum) Who is this course for? Individuals seeking to pursue a career in home-based childcare. Professionals aiming to expand their skills in early years care. Beginners with an interest in child development and care. Parents or caregivers wanting to enhance their understanding of childcare. Career Path Home-Based Childcare Provider Early Years Educator Childcare Business Owner Child Protection Officer Family Support Worker

Advanced Parenting Skills Course Overview The "Advanced Parenting Skills" course provides learners with a deep understanding of effective parenting techniques, focusing on the development of advanced strategies and skills to manage complex parenting situations. It explores key elements such as communication, relationships, and leadership, helping parents and professionals enhance their approach to nurturing children's growth and well-being. Learners will gain valuable insights into building strong family dynamics, addressing behavioural challenges, and fostering positive parent-child relationships. The course is designed to equip learners with the expertise needed to face parenting challenges confidently, improve family interactions, and support children's emotional and social development. Course Description This course delves into essential aspects of advanced parenting, offering a comprehensive exploration of the skills required for effective parenting. Topics include the tools and strategies for managing various parenting challenges, as well as understanding and improving relationships between parents and children. It also covers leadership development in children, the communication dynamics that influence family relationships, and ways to establish mutual understanding. By the end of this course, learners will be well-prepared to apply these skills in real-world parenting contexts, creating a harmonious and supportive family environment. The learning experience is structured to offer both theoretical insights and actionable strategies, empowering individuals to make informed decisions and nurture their children's growth more effectively. Advanced Parenting Skills Curriculum Module 01: Introduction to Advanced Parenting Skills Module 02: Skills Required for Parenting Module 03: The Tools for Parenting Module 04: Strategies for Parenting Module 05: Relationships Between Children and Parents Module 06: Understanding Between Children and Parents Module 07: Developing Effective Relationships Module 08: Behaviour Is The Heart Of Communication Module 09: The Challenge of Parenting Module 10: Asserting Leadership Abilities in Children (See full curriculum) Who is this course for? Individuals seeking to improve their parenting skills. Professionals aiming to enhance their knowledge of family dynamics. Beginners with an interest in child development and parenting strategies. Caregivers and family support workers looking to deepen their understanding of parenting. Career Path Parenting Coach Family Support Worker Childcare Specialist Behavioural Therapist Family Counsellor

Course Overview The Dog Behaviour and Training course offers a comprehensive insight into canine psychology, behaviour management, and effective training techniques. Designed to build confidence and understanding, this course equips learners with the knowledge needed to address common dog behaviours and establish positive habits. Through focused modules, participants will develop skills in interpreting dog body language, managing feeding behaviours, addressing separation anxiety, and conducting training consultations. Whether supporting pet owners or advancing towards a professional role, learners will emerge with the ability to apply behavioural theories and strategies in real-world settings. By the end of the course, participants will understand how to create positive environments for dogs and promote lasting behavioural change, making them valuable assets in both domestic and professional contexts. Course Description The Dog Behaviour and Training course delves into the fascinating world of canine behaviour, offering learners a structured exploration of topics such as food aggression, appropriate greeting methods, and separation anxiety management. Learners will gain insights into interpreting dog communication signals, answering common client questions, and guiding puppy development. The course also covers consultation practices, preparing participants to engage confidently with dog owners seeking advice. Designed to foster a deep understanding of behavioural patterns, the curriculum blends theoretical frameworks with real-world applications, ensuring that learners develop a well-rounded skill set. By completing this course, individuals will strengthen their ability to assess behavioural issues, recommend appropriate training strategies, and support the welfare and development of dogs across various settings. Course Modules Module 01: Introduction Module 02: Feeding Time - Aggression and Stealing Food Module 03: The Right Way to Greet a Dog Module 04: Separation Anxiety Module 05: Dog Language - What They're Really Saying! Module 06: The Answers To 10 Popular Dog Questions You Are Likely To Be Asked Module 07: The Answers To 10 Common Puppy Training Questions That You'll Likely To Be Asked Module 08: Dog Training Consultations With Clients (See full curriculum) Who is this course for? Individuals seeking to build a deeper understanding of dog behaviour and training techniques. Professionals aiming to expand their expertise in animal behaviour consultancy or dog training services. Beginners with an interest in canine psychology and behaviour management. Dog owners wishing to enhance their relationships and communication with their pets. Animal care workers looking to broaden their knowledge for career development. Career Path Dog Behaviour Specialist Dog Trainer Animal Welfare Officer Veterinary Assistant (Behaviour Support Role) Pet Care Consultant Animal Shelter Worker Behavioural Advisor in Animal Charities

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Python Programming: Beginner To Expert Course Overview The "Python Programming: Beginner to Expert" course provides a comprehensive learning journey from the basics of Python to advanced programming techniques. Designed to equip learners with the skills necessary to become proficient Python developers, this course covers a broad range of essential topics, including data types, operators, functions, error handling, and object-oriented programming (OOP). By the end of the course, learners will gain the expertise needed to develop complex applications and tackle real-world problems using Python. The course is ideal for those looking to deepen their understanding of programming and advance their careers in software development, data science, or automation. Course Description This course delves deeply into Python programming, beginning with the fundamentals and progressing to advanced concepts. Learners will explore core programming techniques, including control flow, functions, and error handling, as well as specialized topics such as object-oriented programming (OOP) and libraries like NumPy and Pandas. The course also covers career development topics, such as how to start a career in Python programming. Students will gain a solid understanding of Python’s capabilities and how to apply them across a variety of programming contexts, from scripting to data analysis and more. With its structured modules and clear guidance, learners will finish the course ready to take on more advanced programming projects and pursue roles in the field. Python Programming: Beginner To Expert Curriculum Module 01: Introduction to Python Programming from A-Z Module 02: Getting Familiar with Python Module 03: Basic Data Types Module 04: Python Operators Module 05: Advanced Data Types Module 06: Control Flow Part 1 Module 07: Control Flow Part 2 Module 08: Python Functions Module 09: User Input and Error Handling Module 10: Python Advanced Functions Module 11: Python Scripting and Libraries Module 12: NumPy Module 13: Pandas Module 14: Introduction to OOP Module 15: Advanced OOP Module 16: Starting a Career in Python (See full curriculum) Who is this course for? Individuals seeking to start a career in Python programming. Professionals aiming to enhance their programming skills for career development. Beginners with an interest in software development, data science, or automation. Those looking to expand their programming knowledge in a structured and progressive way. Career Path Python Developer Software Engineer Data Analyst Data Scientist Automation Specialist Web Developer Backend Developer

Duration 3 Days 18 CPD hours This course is intended for This course is geared for experienced Scala developers who are new to the world of machine learning and are eager to expand their skillset. Professionals such as data engineers, data scientists, and software engineers who want to harness the power of machine learning in their Scala-based projects will greatly benefit from attending. Additionally, team leads and technical managers who oversee Scala development projects and want to integrate machine learning capabilities into their workflows can gain valuable insights from this course Overview Working in a hands-on learning environment led by our expert instructor you'll: Grasp the fundamentals of machine learning and its various categories, empowering you to make informed decisions about which techniques to apply in different situations. Master the use of Scala-specific tools and libraries, such as Breeze, Saddle, and DeepLearning.scala, allowing you to efficiently process, analyze, and visualize data for machine learning projects. Develop a strong understanding of supervised and unsupervised learning algorithms, enabling you to confidently choose the right approach for your data and effectively build predictive models Gain hands-on experience with neural networks and deep learning, equipping you with the know-how to create advanced applications in areas like natural language processing and image recognition. Explore the world of generative AI and learn how to utilize GPT-Scala for creative text generation tasks, broadening your skill set and making you a more versatile developer. Conquer the realm of scalable machine learning with Scala, learning the secrets to tackling large-scale data processing and analysis challenges with ease. Sharpen your skills in model evaluation, validation, and optimization, ensuring that your machine learning models perform reliably and effectively in any situation. Machine Learning Essentials for Scala Developers is a three-day course designed to provide a solid introduction to the world of machine learning using the Scala language. Throughout the hands-on course, you?ll explore a range of machine learning algorithms and techniques, from supervised and unsupervised learning to neural networks and deep learning, all specifically crafted for Scala developers. Our expert trainer will guide you through real-world, focused hands-on labs designed to help you apply the knowledge you gain in real-world scenarios, giving you the confidence to tackle machine learning challenges in your own projects. You'll dive into innovative tools and libraries such as Breeze, Saddle, DeepLearning.scala, GPT-Scala (and Generative AI with Scala), and TensorFlow-Scala. These cutting-edge resources will enable you to build and deploy machine learning models for a wide range of projects, including data analysis, natural language processing, image recognition and more. Upon completing this course, you'll have the skills required to tackle complex projects and confidently develop intelligent applications. You?ll be able to drive business outcomes, optimize processes, and contribute to innovative projects that leverage the power of data-driven insights and predictions. Introduction to Machine Learning and Scala Learning Outcome: Understand the fundamentals of machine learning and Scala's role in this domain. What is Machine Learning? Machine Learning with Scala: Advantages and Use Cases Supervised Learning in Scala Learn the basics of supervised learning and how to apply it using Scala. Supervised Learning: Regression and Classification Linear Regression in Scala Logistic Regression in Scala Unsupervised Learning in Scala Understand unsupervised learning and how to apply it using Scala. Unsupervised Learning:Clustering and Dimensionality Reduction K-means Clustering in Scala Principal Component Analysis in Scala Neural Networks and Deep Learning in Scala Learning Outcome: Learn the basics of neural networks and deep learning with a focus on implementing them in Scala. Introduction to Neural Networks Feedforward Neural Networks in Scala Deep Learning and Convolutional Neural Networks Introduction to Generative AI and GPT in Scala Gain a basic understanding of generative AI and GPT, and how to utilize GPT-Scala for natural language tasks. Generative AI: Overview and Use Cases Introduction to GPT (Generative Pre-trained Transformer) GPT-Scala: A Library for GPT in Scala Reinforcement Learning in Scala Understand the basics of reinforcement learning and its implementation in Scala. Introduction to Reinforcement Learning Q-learning and Value Iteration Reinforcement Learning with Scala Time Series Analysis using Scala Learn time series analysis techniques and how to apply them in Scala. Introduction to Time Series Analysis Autoregressive Integrated Moving Average (ARIMA) Models Time Series Analysis in Scala Natural Language Processing (NLP) with Scala Gain an understanding of natural language processing techniques and their application in Scala. Introduction to NLP: Techniques and Applications Text Processing and Feature Extraction NLP Libraries and Tools for Scala Image Processing and Computer Vision with Scala Learn image processing techniques and computer vision concepts with a focus on implementing them in Scala. Introduction to Image Processing and Computer Vision Feature Extraction and Image Classification Image Processing Libraries for Scala Model Evaluation and Validation Understand the importance of model evaluation and validation, and how to apply these concepts using Scala. Model Evaluation Metrics Cross-Validation Techniques Model Selection and Tuning in Scala Scalable Machine Learning with Scala Learn how to handle large-scale machine learning problems using Scala. Challenges of Large-Scale Machine Learning Data Partitioning and Parallelization Distributed Machine Learning with Scala Machine Learning Deployment and Production Understand the process of deploying machine learning models into production using Scala. Deployment Challenges and Best Practices Model Serialization and Deserialization Monitoring and Updating Models in Production Ensemble Learning Techniques in Scala Discover ensemble learning techniques and their implementation in Scala. Introduction to Ensemble Learning Bagging and Boosting Techniques Implementing Ensemble Models in Scala Feature Engineering for Machine Learning in Scala Learn advanced feature engineering techniques to improve machine learning model performance in Scala. Importance of Feature Engineering in Machine Learning Feature Scaling and Normalization Techniques Handling Missing Data and Categorical Features Advanced Optimization Techniques for Machine Learning Understand advanced optimization techniques for machine learning models and their application in Scala. Gradient Descent and Variants Regularization Techniques (L1 and L2) Hyperparameter Tuning Strategies

Course Overview The Cognitive Behavioural Therapy (CBT) Practitioner Certificate Course provides a comprehensive exploration of the theories, principles, and application of CBT. This course equips learners with the knowledge to understand the intricate relationship between thoughts, emotions, and behaviours, enabling them to foster positive change in various contexts. Designed for both aspiring practitioners and those seeking personal development, the course offers valuable techniques to address common psychological challenges, including anxiety, depression, and stress. Through structured learning modules, participants will develop a solid understanding of CBT frameworks and how they can be effectively implemented across different settings. By the end of the course, learners will have enhanced their critical thinking, problem-solving, and client support abilities, positioning them for greater confidence in professional or personal environments. Whether you are seeking to enhance your career prospects or enrich your own well-being, this course provides a rewarding foundation in the core methodologies of CBT. Course Description This professionally structured Cognitive Behavioural Therapy (CBT) Practitioner Certificate Course delves into the foundational theories of CBT, practical strategies for cognitive restructuring, and the step-by-step CBT process. Learners will gain insights into using CBT techniques for personal growth, managing anxiety and depression, and supporting children with autism. The course offers a balanced learning experience with theoretical frameworks and real-world application models to reinforce knowledge retention. Each module is carefully designed to build progressively, ensuring learners acquire critical analytical skills, emotional intelligence, and a strong ethical understanding of client-centred practice. Participants will be able to recognise cognitive distortions, design effective intervention plans, and support behavioural change with structured methods. With its inclusive approach, the course is ideal for those pursuing a foundation in mental health support or simply looking to apply CBT principles to everyday challenges. Successful completion will strengthen learners’ ability to contribute positively within therapeutic, educational, or care settings. Course Modules Module 01: Introduction to CBT Module 02: CBT Theories and Principles Module 03: CBT Tools and Strategies Module 04: CBT Process Module 05: CBT for Personal Growth Module 06: Overcoming Anxiety and Depression Module 07: CBT for Children with Autism (See full curriculum) Who is this course for? Individuals seeking to develop a strong understanding of cognitive behavioural therapy. Professionals aiming to enhance their therapeutic or client support capabilities. Beginners with an interest in mental health and behavioural sciences. Life coaches, educators, and support workers wishing to expand their skill set. Anyone looking to apply CBT principles for personal development and emotional resilience. Career Path Cognitive Behavioural Therapy Practitioner Mental Health Support Worker Life Coach or Personal Development Coach Behavioural Support Specialist Educational Support Assistant Youth and Community Worker Well-being Consultant Counselling Assistant