Product Overview: Clinical Psychology Online Course Are you passionate about understanding human behavior, diagnosing psychological disorders, and helping individuals lead fulfilling lives? Embark on a transformative journey with our comprehensive Clinical Psychology Online Course. Developed by industry experts and seasoned practitioners, this course equips you with the knowledge, skills, and insights necessary to thrive in the field of clinical psychology. Module 1: Introduction to Clinical Psychology In Module 1, you will delve into the foundations of clinical psychology, exploring its history, theories, and key concepts. Gain an understanding of the role of clinical psychologists in various settings and learn about ethical considerations and professional standards in the field. Module 2: Assessment and Diagnosis Module 2 focuses on the critical aspects of assessment and diagnosis in clinical psychology. Discover a range of assessment tools and techniques used to evaluate mental health issues and develop proficiency in formulating accurate diagnoses based on empirical evidence and clinical observations. Module 3: Treatment Modalities Explore the diverse array of treatment modalities available in clinical psychology in Module 3. From traditional psychotherapy approaches to contemporary interventions such as cognitive-behavioral therapy (CBT) and mindfulness-based therapies, this module provides a comprehensive overview of effective treatment strategies for various psychological disorders. Module 4: Psychopathology and Personality Disorders Module 4 delves deep into the intricate nature of psychopathology and personality disorders. Gain insights into the etiology, symptomatology, and diagnostic criteria of common mental health disorders, including mood disorders, anxiety disorders, and personality disorders. Explore the latest research findings and evidence-based interventions for managing these complex conditions. Module 5: Child and Adolescent Psychology In Module 5, you will focus on the unique challenges and considerations involved in working with children and adolescents in a clinical setting. Explore developmental theories, behavioral assessment techniques, and therapeutic approaches tailored to address the specific needs of young clients. Learn how to effectively collaborate with families and other professionals to promote positive outcomes for children and adolescents struggling with mental health issues. Key Features: Comprehensive curriculum covering essential topics in clinical psychology. Engaging multimedia content, including video lectures, case studies, and interactive simulations. Self-paced learning to accommodate diverse schedules and learning styles. Access to experienced instructors and peer support through online forums and discussions. Practical assignments and assessments to reinforce learning and assess proficiency. Certificate of completion upon successfully finishing the course, enhancing your credentials in the field of clinical psychology. Whether you're a psychology student seeking to expand your knowledge or a practicing professional looking to sharpen your skills, our Clinical Psychology Online Course offers a dynamic learning experience that will empower you to make a meaningful difference in the lives of others. Join us on this transformative journey and unlock your potential as a compassionate and competent clinical psychologist. Course Curriculum Module 1_ Introduction to Clinical Psychology. Introduction to Clinical Psychology. 00:00 Module 2_ Assessment and Diagnosis. Assessment and Diagnosis. 00:00 Module 3_ Treatment Modalities. Treatment Modalities. 00:00 Module 4_ Psychopathology and Personality Disorders. Psychopathology and Personality Disorders. 00:00 Module 5_ Child and Adolescent Psychology. Child and Adolescent Psychology. 00:00
Artificial Intelligence brings exciting new opportunities to the field of Conversational User Interfaces (CUI). Learn key concepts and proven design methods to deliver cutting-edge experiences and reach better business outcomes. Silvia Podesta is a Designer in the Client Engineering Team at IBM Nordics. She leverages design thinking, service and UX design to help clients identify opportunities for innovation and pioneer transformational experiences through IBM technology.
About UX Academy: UX Academy provides live online hands-on training to help you take the next step in your career no matter what level you’re at. Offering Beginner, Intermediate UX courses, Product Design, Strategy and Voice Design developed in collaboration with Amazon.
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This short selection of information pages is designed to support the Neuro-Informed workshop held on 8/3/24 by providing more detail and understanding of how breath work affects the brain.
Motivational Interviewing Advancing Practice 2-day In-person CPD training workshop Thursday 7th & Friday 8th November 2024 his 2-day workshop will be of interest to people in diverse settings and circumstances where conversations about change are an everyday reality. A wide range of learning methods are used to create an enjoyable atmosphere for learning and sharing ideas. These will include demonstration, video observation, brief content lectures, discussion, and focused practice. It is an introduction to Motivational Interviewing for some participants and a refresher for those people who have attended MI training previously.
Duration 1 Days 6 CPD hours This course is intended for This course is intended for the following participants:Cloud professionals interested in taking the Data Engineer certification exam.Data engineering professionals interested in taking the Data Engineer certification exam. Overview This course teaches participants the following skills: Position the Professional Data Engineer Certification Provide information, tips, and advice on taking the exam Review the sample case studies Review each section of the exam covering highest-level concepts sufficient to build confidence in what is known by the candidate and indicate skill gaps/areas of study if not known by the candidate Connect candidates to appropriate target learning This course will help prospective candidates plan their preparation for the Professional Data Engineer exam. The session will cover the structure and format of the examination, as well as its relationship to other Google Cloud certifications. Through lectures, quizzes, and discussions, candidates will familiarize themselves with the domain covered by the examination, to help them devise a preparation strategy. Rehearse useful skills including exam question reasoning and case comprehension. Tips and review of topics from the Data Engineering curriculum. Understanding the Professional Data Engineer Certification Position the Professional Data Engineer certification among the offerings Distinguish between Associate and Professional Provide guidance between Professional Data Engineer and Associate Cloud Engineer Describe how the exam is administered and the exam rules Provide general advice about taking the exam Sample Case Studies for the Professional Data Engineer Exam Flowlogistic MJTelco Designing and Building (Review and preparation tips) Designing data processing systems Designing flexible data representations Designing data pipelines Designing data processing infrastructure Build and maintain data structures and databases Building and maintaining flexible data representations Building and maintaining pipelines Building and maintaining processing infrastructure Analyzing and Modeling (Review and preparation tips) Analyze data and enable machine learning Analyzing data Machine learning Machine learning model deployment Model business processes for analysis and optimization Mapping business requirements to data representations Optimizing data representations, data infrastructure performance and cost Reliability, Policy, and Security (Review and preparation tips) Design for reliability Performing quality control Assessing, troubleshooting, and improving data representation and data processing infrastructure Recovering data Visualize data and advocate policy Building (or selecting) data visualization and reporting tools Advocating policies and publishing data and reports Design for security and compliance Designing secure data infrastructure and processes Designing for legal compliance Resources and next steps Resources for learning more about designing data processing systems, data structures, and databases Resources for learning more about data analysis, machine learning, business process analysis, and optimization Resources for learning more about data visualization and policy Resources for learning more about reliability design Resources for learning more about business process analysis and optimization Resources for learning more about reliability, policies, security, and compliance Additional course details: Nexus Humans Preparing for the Professional Data Engineer Examination 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 Preparing for the Professional Data Engineer Examination 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.
Duration 2 Days 12 CPD hours This course is intended for This in an introductory-level course geared for QA, Test team members and others who want to use the Python testing framework PyTest to implement code testing strategies. Attendees should have prior basic Python scripting experience. Students should have some familiarity with tools to be used in this course: PyCharm, Jupyter Notebook and basic GIT. Overview Working within in a hands-on learning environment students will learn to: Become proficient with pytest from day one by solving real-world testing problems Use pytest to write tests more efficiently Scale from simple to complex and functional testing Write and run simple and complex tests Organize tests in fles and directories Find out how to be more productive on the command line Markers and how to skip, xfail and parametrize tests Explore fxtures and techniques to use them effectively, such as tmpdir, pytestconfg, and monkeypatch Convert unittest suites to pytest using little-known techniques The pytest framework is simple to use but powerful enough to cover complex testing integration scenarios. PyTest is considered by many to be the true Pythonic approach to testing in Python. Geared for QA, Test team members and others who want to use the Python testing framework PyTest to implement code testing strategies, Test Automation with Python is a hands-on, two day Python testing course that provides students with the skills required to get started with PyTest right away. Participnats will learn how to get the most out of it in their daily workflow, exploring powerful mechanisms and plugins to facilitate many common testing tasks. Students will also learn how to use pytest in existing unittestbased test suites and will learn some tricks to make the jump to a pytest-style test suite quickly and easily. Python Refresher Python Overview Python Basics Python Lab Introducing PyTest Why Spend time writing test UnitTest Module Why PyTest? Introductory Lab Writing and Running Test Installing PyTest Writing and Running Tests Organizing files and packages Command Line options Configure pytest.ini Install and Config Lab Markers and Parameters Mark Basics Built-in marks Parameterization Markers and Parameters Lab Fixtures Introduction to Fixtures Sharing fixtures with conftest.py files Scopes Autouse Parameterizing fixtures Using marks from fixtures Built-in fixtures Best Practices Fixtures Lab Fixtures Lab 2 Plugins Finding and installing plugins Overview of plugins Plugin Lab From UnitTest to PyTest Use PyTest as a Test Runner Convert asserts with unitest2pytest Handling setup/teardown Managing test hierarchies Refactoring test utilities Migration strategies Additional course details: Nexus Humans Test Automation with Python (TTPS4832) 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 Test Automation with Python (TTPS4832) 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.