1339 Scientist courses

Intelligent Yoga Teacher Training (IYTT) is unique amongst teacher training courses. We offer an incisive, thoughtful and intelligent approach to yoga teacher training, driven by the most current scientific developments in anatomy and movement research. Delivered by an elite group of senior yoga teachers at the top of their field, IYTT offers a spacious, immersive modular structure which provides time and space for profound learning, integration and growth. Each of the teaching team draws on decades of practical experience of yoga, including particularly the work of Vanda Scaravelli and somatic, embodied practices.

Overview Embark on a comprehensive journey into the very essence of what makes us human with the 'Anatomy and Physiology of Human Body' course. This course curriculum unveils the wonders of our biological makeup. From the chemistry of cells to the complexities of the nervous system, down to the nuances of reproduction, each module has been meticulously designed to unravel the mysteries that lie beneath our skin. Allow yourself to be enthralled by the marvel that is the human body and grasp the foundation of its magnificent design. Whether you're a curious individual or aspiring to pursue a career in the medical field, this course curriculum provides a solid foundation. From the basic to the advanced, each module is a stepping stone towards mastering the marvel that is the human body. Learning Outcomes Understand the foundational principles of human cell chemistry and their role in maintaining bodily functions. Acquire knowledge of the skeletal, muscular, and nervous systems and their interdependent functionalities. Delve into the dynamics of the body's sensory systems and the processes of perception. Comprehend the workings of essential systems like cardiovascular, respiratory, and digestive. Gain insights into the reproductive mechanisms and the intricacies of both male and female reproductive systems. Why buy this Anatomy and Physiology of Human Body course? Unlimited access to the course for forever Digital Certificate, Transcript, student ID all included in the price Absolutely no hidden fees Directly receive CPD accredited qualifications after course completion Receive one to one assistance on every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Certification After studying the course materials of the Anatomy and Physiology of Human Body there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this Anatomy and Physiology of Human Body course for? Individuals curious about the inner workings of the human body. Medical students seeking a foundational understanding of anatomy and physiology. Educators aiming to enrich their biology or health science curriculums. Fitness professionals desiring a deeper understanding of human muscular and skeletal systems. Aspiring medical illustrators or animators aiming for accuracy in their depictions. Prerequisites This Anatomy and Physiology of Human Body does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Anatomy and Physiology of Human Body was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Career path Medical Illustrator: £25,000 - £40,000 per annum Clinical Physiologist: £30,000 - £50,000 per annum Anatomical Pathology Technologist: £22,000 - £35,000 per annum Sports Therapist: £20,000 - £35,000 per annum Biomedical Scientist: £23,000 - £50,000 per annum Radiographer: £25,000 - £48,000 per annum Course Curriculum Module 01: The Chemistry of Cells The Chemistry of Cells 00:27:00 Module 02: Cells Cells 00:18:00 Module 03: Cell Division Cell Division 00:19:00 Module 04: Replication and Metabolism Replication and Metabolism 00:20:00 Module 05: Human Tissues Human Tissues 00:25:00 Module 06: Skin Skin 00:16:00 Module 07: Human Skeletal System Human Skeletal System 00:22:00 Module 08: The Muscular System The Muscular System 00:17:00 Module 09: Skeletal Muscle Fibre Skeletal Muscle Fibre 00:22:00 Module 10: Nervous System Nervous System 00:31:00 Module 11: The Brain The Brain 00:23:00 Module 12: Nervous System-Spinal Cord and Spinal Nerves Nervous System-Spinal Cord and Spinal Nerves 00:15:00 Module 13: Nervous System - Autonomic Nervous System and Cranial Nerves Nervous System - Autonomic Nervous System and Cranial Nerves 00:23:00 Module 14: Nervous System-The Eyes Nervous System-The Eyes 00:15:00 Module 15: Nervous System-The Ears, Hearing, and Equilibrium Nervous System-The Ears, Hearing, and Equilibrium 00:15:00 Module 16: Nervous System-Memory Nervous System-Memory 00:20:00 Module 17: Sensory Systems Sensory Systems 00:23:00 Module 18: Cardiovascular System Cardiovascular System 00:25:00 Module 19: Blood Blood 00:27:00 Module 20: Lymphatics Lymphatics 00:22:00 Module 21: Immune System Immune System 00:26:00 Module 22: Digestive System Digestive System 00:22:00 Module 23: Respiratory System Respiratory System 00:16:00 Module 24: Urinary System Urinary System 00:16:00 Module 25: Male Reproductive System Male Reproductive System 00:32:00 Module 26: Female Reproductive System Female Reproductive System 00:31:00 Assignment Assignment - Anatomy and Physiology of Human Body 00:00:00

Dive into the fascinating world of particle physics through the Particle Physics Level 2 course. This course is designed to show you the ins and outs of particle physics. It will elevate your knowledge on the subject and help you pursue a rewarding career in the relevant sector. The Particle Physics Level 2 course will provide you with deep insights into particle physics. From the easily digestible modules, you will grasp the core principles of particle physics. This informative course will equip you with the key knowledge of elementary particles. In addition, you will get the opportunity to understand the fundamentals of particle acceleration. The course will also provide you with detailed lessons on radiation detectors. The comprehensive course will also assist you in learning the fundamentals of nuclear physics. After completing this Particle Physics Level 2 course, you will receive a certificate. This certificate will add significant value to your resume. Enrol in the course today and open new doors of opportunities. Learning Objectives Understand the fundamentals of particle physics Familiarise yourself with elementary particles Enrich your understanding of nuclear physics Grasp the principles of particle accelerators Build a clear understanding of radiation detectors Who is this Course for? This Particle Physics Level 2 course is ideal for aspiring particle physicists who wish to gain the relevant skills and knowledge to fast track their careers. It is for those who have little or no knowledge of the principles of particle physics or those who are new to the field and want to test their skills and knowledge. There are no entry requirements for this course; however, an eye for detail and a creative mind is essential. Entry Requirement This course is available to all learners of all academic backgrounds. A good understanding of the English language, numeracy and ICT are required to attend this course. CPD Certificate from Course Gate At the successful completion of the course, you can obtain your CPD certificate from us. You can order the PDF certificate for £4.99 and the hard copy for £9.99. Also, you can order both PDF and hardcopy certificates for £12.99. Career path On successful completion of the Particle Physics Level 2 course, learners can progress to a more advanced program from our course list. Career opportunities in this field include freelancing or working in-house, within a range of professional settings, with the opportunity to earn a high salary. Related professions in this industry include: Particle Physicist Academic researcher Higher education lecturer Nanotechnologist Radiation protection practitioner Research scientist (physical sciences) Secondary school teacher Technical author Course Curriculum Module 01: Introduction to Particle Physics Introduction to Particle Physics 00:22:00 Module 02: Elementary Particles Elementary Particles 00:20:00 Module 03: The Nucleus The Nucleus 00:23:00 Module 04: Nuclear Physics Nuclear Physics 00:18:00 Module 05: Particle Accelerators Particle Accelerators 00:23:00 Module 06: Radiation detectors Radiation Detectors 00:37:00 Module 07: The Standard Model The Standard Model 00:15:00 Certificate and Transcript Order Your Certificates or Transcripts 00:00:00

The Diploma in Lab Technician at QLS Level 5 course offers a unique opportunity to step into the world of professional laboratory work. This course begins with an engaging introduction, setting a solid foundation for what is to come. As you progress, you will explore the diverse and critical roles that medical laboratory services play in healthcare. With each module, the course unravels a new aspect of laboratory science, allowing you to absorb the wealth of knowledge at a comfortable pace. The curriculum is thoughtfully designed to cater to both beginners and those with some prior experience in the field, ensuring a comprehensive understanding for all. Delving deeper, the course covers an extensive range of topics crucial for a lab technician, such as the use and maintenance of various laboratory equipment, understanding the fundamentals of microscopy, and the preparation of solutions used in clinical settings. You will gain hands-on knowledge about sterilisation, disinfection, decontamination processes, and delve into basic haematology and haemostasis. The programme also encompasses vital areas of immunology, immunohematology, urinalysis, clinical chemistry, microbiology, and parasitology. Safety protocols, laboratory accidents, and quality assurance methods form an integral part of the training, ensuring you are well-equipped to handle the responsibilities and challenges of a laboratory environment. This course is not just about acquiring theoretical knowledge; it's about preparing you for a fulfilling career as a skilled and competent lab technician. Learning Outcomes Proficient knowledge of medical laboratory services and equipment. Skills in using a microscope and preparing clinical laboratory solutions. Understanding of basic haematology, haemostasis, immunology, and immunohematology. Competence in conducting urinalysis, clinical chemistry, microbiology, and parasitology tests. Knowledge of laboratory safety, accidents, and quality assurance protocols. Why choose this Diploma in Lab Technician at QLS Level 5 course? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments are designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Who is this Diploma in Lab Technician at QLS Level 5 course for? Individuals aspiring to become professional lab technicians in medical or research settings. Medical professionals seeking to enhance their laboratory skills and knowledge. Students interested in a career in medical laboratory science or biotechnology. Laboratory assistants aiming to upgrade their qualifications to a technician level. Healthcare workers looking to expand their skill set in clinical diagnostics. Career path Medical Lab Technician: £22,000 - £30,000 Clinical Laboratory Scientist: £25,000 - £35,000 Biotechnologist: £24,000 - £33,000 Microbiologist: £23,000 - £32,000 Haematologist: £30,000 - £40,000 Quality Control Technician: £21,000 - £29,000 Prerequisites This Diploma in Lab Technician at QLS Level 5 does not require you to have any prior qualifications or experience. You can just enrol and start learning. This course was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Certification After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. Endorsed Certificate of Achievement from the Quality Licence Scheme Learners will be able to achieve an endorsed certificate after completing the course as proof of their achievement. You can order the endorsed certificate for only £115 to be delivered to your home by post. For international students, there is an additional postage charge of £10. Endorsement The Quality Licence Scheme (QLS) has endorsed this course for its high-quality, non-regulated provision and training programmes. The QLS is a UK-based organisation that sets standards for non-regulated training and learning. This endorsement means that the course has been reviewed and approved by the QLS and meets the highest quality standards. Please Note: Studyhub is a Compliance Central approved resale partner for Quality Licence Scheme Endorsed courses. Course Curriculum Module 01: Introduction to the Course Introduction to the Course 00:14:00 Module 02: Medical Laboratory Services Medical Laboratory Services 00:21:00 Module 03: Laboratory Equipments (Part-01) Laboratory Equipments (Part-01) 00:26:00 Module 04: Laboratory Equipments (Part-02) Laboratory Equipments (Part-02) 00:15:00 Module 05: Microscope and How to Use It Microscope and How to Use It 00:17:00 Module 06: Solutions Used in Clinical/Medical Laboratory Solutions Used in Clinical/Medical Laboratory 00:17:00 Module 07: Sterilisation, Disinfection and Decontamination Sterilisation, Disinfection and Decontamination 00:18:00 Module 08: Basic Haematology Basic Haematology 00:50:00 Module 09: Basic Haemostasis (Coagulation) Basic Haemostasis (Coagulation) 00:30:00 Module 10: Basic Immunology and Immunohematology Basic Immunology and Immunohematology 00:38:00 Module 11: Urinalysis Urinalysis 00:35:00 Module 12: Basic Clinical Chemistry Basic Clinical Chemistry 00:39:00 Module 13: Basic Clinical Microbiology Basic Clinical Microbiology 00:26:00 Module 14: Basic Parasitology Basic Parasitology 00:29:00 Module 15: Laboratory Accidents and Safety Laboratory Accidents and Safety 00:18:00 Module 16: Quality Assurance Quality Assurance 00:20:00 Mock-Exam Mock Exam - Diploma in Lab Technician at QLS Level 5 00:20:00 Final-Exam Final Exam - Diploma in Lab Technician at QLS Level 5 00:20:00 Order your QLS Endorsed Certificate Order your QLS Endorsed Certificate 00:00:00

Embark on a transformative journey into the realm of data mastery with our comprehensive course, 'Advanced SAS Programming Using MacrosSQL.' From demystifying the intricacies of SAS Studio to unlocking the potential of Proc SQL, this course is a gateway to proficiency in SAS programming and macro scripting. The curriculum, thoughtfully designed to accommodate learners of all levels, takes you through the essential foundations of SAS, the nuances of macro variables, and the power-packed functionalities of Proc SQL. Dive into the world of nested macro variables, conditional logic, and data manipulation, all while honing your skills through practical examples. This course isn't just about learning syntax; it's a hands-on exploration that empowers you to seamlessly connect the dots between SAS Studio and Proc SQL, bringing your data analytics capabilities to new heights. Learning Outcomes Master the fundamentals of SAS Studio and navigate through its interface effortlessly. Develop a deep understanding of macro variables, exploring their applications and delving into nested variations. Acquire proficiency in SAS Macros, from basic examples to advanced keyword usage and conditional logic. Unlock the potential of Proc SQL, gaining expertise in data copying, filtering, sorting, and removing duplicates. Harness the power of data merging using Joins, creating macro variables dynamically in the process. Why choose this Advanced SAS Programming Using MacrosSQL course? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards and CIQ after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Unlock career resources for CV improvement, interview readiness, and job success. Who is this Advanced SAS Programming Using MacrosSQL course for? Data enthusiasts seeking to enhance their SAS programming skills. Business analysts aiming to leverage SAS for more effective data analysis. IT professionals aspiring to streamline data management through SAS. Career path SAS Programmer: £35,000 - £55,000 Data Analyst: £30,000 - £50,000 Business Intelligence Developer: £40,000 - £60,000 Database Administrator: £35,000 - £60,000 Data Scientist: £45,000 - £70,000 Analytics Manager: £50,000 - £80,000 Prerequisites This Advanced SAS Programming Using MacrosSQL does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Advanced SAS Programming Using MacrosSQL was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Certification After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. Course Curriculum Advanced SAS Programming Using MacrosSQL Unit - 1 Section 0-00- Why SAS 00:01:00 Unit - 2 Section 2-02- SAS Studio through SAS OnDemand- Registration 00:04:00 Section 2-03- Logging-in to SAS after installation 00:01:00 Section 2-04- SAS Interface and windows 00:06:00 Unit - 3 Section 3-00- Section Overview - Macros 00:01:00 Section 3-01-Macro Variables - introduction 00:14:00 Section 3-02-Application of macro variables 00:13:00 Section 3-03-01-Nested macro vars 00:11:00 Section 3-03-02-More on Ampersand resolutions using a cool example 00:09:00 Section 3-04-00-SAS Macros - introduction 00:10:00 Section 3-04-01-SAS Macros - Examples 00:07:00 Section 3-04-02-Keyword positional and mixed params 00:06:00 Section 3-04-03-Conditional Logic in Macros 00:11:00 Section 3-05-Macro Functions 00:12:00 Section 3-05-Options Statement- mprint-mlogic-symbolgen 00:13:00 Section 3-07-Connecting the two worlds - Call Symput - Symget 00:14:00 Section 3-09-01-02- Bringing data into SAS using Import Wizard 00:04:00 Section 3-09-02- Bringing data into SAS using LIBNAME statement 00:05:00 Section 3-09-03- Bringing data into SAS using FILENAME 00:05:00 Unit - 4 Section 4-00- Section Overview - Proc SQL 00:01:00 Section 4-01-01-Proc SQL - copying data 00:13:00 Section 4-01-02-Proc SQL - filtering data 00:07:00 Section 4-01-03-Proc SQL - sorting data 00:08:00 Section 4-01-04-Proc SQL - removing duplicates 00:05:00 Section 4-02-01-Proc SQL - Union 00:09:00 Section 4-02-02-Proc SQL - Except 00:04:00 Section 4-02-03-Proc SQL - Intersect 00:02:00 Section 4-03-00-Merging data using Joins-Introduction 00:08:00 Section 4-03-01-Proc SQL - inner join 00:14:00 Section 4-03-02-Proc SQL - full join 00:08:00 Section 4-03-03-Proc SQL - left and right joins 00:07:00 Section 4-04-01-Proc SQL - creating macro vars 00:07:00 Unit - 5 Section 5-00- Bonus lecture 00:02:00

Do you want to prepare for your dream job but strive hard to find the right courses? Then, stop worrying, for our strategically modified Renewable Energy Complete Course bundle will keep you up to date with the relevant knowledge and most recent matters of this emerging field. So, invest your money and effort in our 30 course mega bundle that will exceed your expectations within your budget. The Renewable Energy Complete Course related fields are thriving across the UK, and recruiters are hiring the most knowledgeable and proficient candidates. It's a demanding field with magnitudes of lucrative choices. If you need more guidance to specialise in this area and need help knowing where to start, then StudyHub proposes a preparatory bundle. This comprehensive Renewable Energy Complete Course bundle will help you build a solid foundation to become a proficient worker in the sector. This Renewable Energy Complete Course Bundle consists of the following 25 CPD Accredited Premium courses - Course 1: Solar Energy Course 2: Sustainable Energy, Development and Environmental Impacts Course 3: Oil and Gas Industry Course 4: Petroleum Refining Demystified Course 5: Online Course in Conservation Course 6: Environment Management Course 7: Environmental Health Course 8: Environmental Law 2021 Course 9: Meteorology Course 10: Land Management Course 11: Diploma in Water Treatment Course 12: Forestry Course 13: Agricultural Science Course 14: Botany Course 15: Wildlife Rescue and Rehabilitation Course 16: Architectural Studies Course 17: Cleaning: Disinfection, Waste Management and Chemical Safety Course 18: COSHH (Control of Substances Hazardous to Health) - Awareness Course 19: Spill Management Training Course 20: Horticulture & Organic Gardening Course 21: Homesteading Diploma Course 22: Floristry Academy Diploma Course 23: Arboriculture Course 24: Marine Biology Course - Online Diploma Course 25: Garden Design Course 26: Escaping Consumerism Course 27: Administration of Emergency Medical Gases Course 28: Accredited level 3 Oceanography Diploma Course 29: Hydrogen Sulphide Training: Safety and Awareness in Hazardous Environments Course 30: Public Realm Manager's Guide: Urban Planning and Management Course 31: Solar & Thermal Energy: Harnessing Renewable Power Sources Course 32: Sustainable Management of Renewable Energy Resources 5 Extraordinary Career Oriented courses that will assist you in reimagining your thriving techniques- Course 1: Career Development Plan Fundamentals Course 2: CV Writing and Job Searching Course 3: Interview Skills: Ace the Interview Course 4: Video Job Interview for Job Seekers Course 5: Create a Professional LinkedIn Profile Learning Outcome This tailor-made Renewable Energy Complete Course bundle will allow you to- Uncover your skills and aptitudes to break new ground in the related fields Deep dive into the fundamental knowledge Acquire some hard and soft skills in this area Gain some transferable skills to elevate your performance Maintain good report with your clients and staff Gain necessary office skills and be tech savvy utilising relevant software Keep records of your work and make a report Know the regulations around this area Reinforce your career with specific knowledge of this field Know your legal and ethical responsibility as a professional in the related field Course 1: Solar Energy Understand the principles of solar energy generation and its applications in various sectors. Learn to design and implement solar energy systems, including photovoltaic and solar thermal systems. Gain knowledge about the environmental and economic benefits of solar energy and its role in sustainable development. Course 2: Sustainable Energy, Development and Environmental Impacts Explore the concept of sustainable energy and its significance in addressing environmental challenges. Analyze the environmental impacts of different energy sources and their contribution to sustainable development. Develop strategies for promoting sustainable energy practices in various industries. Course 3: Oil and Gas Industry Gain insights into the fundamentals of the oil and gas industry, including exploration, production, and distribution. Understand the economic and geopolitical factors influencing the global oil and gas market. Learn about environmental regulations and sustainability practices within the industry. Course 4: Petroleum Refining Demystified Comprehend the processes involved in petroleum refining and its role in producing various fuel products. Analyze the challenges and technologies associated with cleaner and more efficient refining. Gain knowledge of safety measures and environmental considerations in petroleum refining. This Renewable Energy Complete Course Bundle resources were created with the help of industry experts, and all subject-related information is kept updated on a regular basis to avoid learners from falling behind on the latest developments. Course 5: Online Course in Conservation Learn about the principles and methods of conservation biology and ecology. Understand the importance of biodiversity conservation and ecosystem management. Explore practical approaches to conserving natural resources and protecting endangered species. Course 6: Environment Management Develop skills in environmental management, including planning, monitoring, and assessment. Explore strategies for sustainable resource use and pollution control. Understand the regulatory frameworks and compliance requirements in environmental management. Course 7: Environmental Health Gain knowledge of environmental factors that impact public health. Learn about epidemiological methods for assessing and managing environmental health risks. Explore strategies for improving air and water quality and preventing environmental-related diseases. Course 8: Environmental Law 2021 Understand the legal frameworks and regulations governing environmental protection. Analyze case studies and recent developments in environmental law. Learn about compliance, enforcement, and the role of stakeholders in environmental legal issues. Course 9: Meteorology Acquire a foundational understanding of meteorology and weather forecasting. Learn about the science behind atmospheric phenomena and climate patterns. Explore the practical applications of meteorology in various industries. Course 10: Land Management Develop skills in land use planning, conservation, and sustainable land management. Learn about land tenure systems, property rights, and land-related policies. Explore techniques for land assessment, soil conservation, and land-use decision-making. Course 11: Diploma in Water Treatment Understand the principles of water treatment processes and their importance in ensuring clean and safe drinking water. Gain knowledge of various water treatment technologies and their applications in addressing water quality issues. Learn about the regulatory standards and quality control measures in water treatment. Course 12: Forestry Develop an understanding of forestry practices, including tree cultivation, maintenance, and sustainable harvesting. Explore the ecological and environmental aspects of forest ecosystems and biodiversity conservation. Learn about forestry management strategies and their role in sustainable resource utilization. Course 13: Agricultural Science Gain insights into the science of agriculture, including crop cultivation, soil management, and pest control. Understand the principles of sustainable farming and the use of technology in modern agriculture. Explore the challenges and opportunities in the agricultural sector. Course 14: Botany Study the fundamentals of botany, including plant anatomy, physiology, and taxonomy. Learn about plant diversity and the role of plants in ecosystems and human societies. Explore the applications of botany in fields such as agriculture, medicine, and conservation. Course 15: Wildlife Rescue and Rehabilitation Develop skills in rescuing and caring for injured or orphaned wildlife. Learn about wildlife rehabilitation techniques and ethical considerations. Understand the legal and regulatory aspects of wildlife rescue and rehabilitation. Course 16: Architectural Studies Explore the principles of architectural design, construction, and planning. Gain knowledge of architectural history and various architectural styles. Learn about sustainable architecture and its role in contemporary design. Course 17: Cleaning: Disinfection, Waste Management and Chemical Safety Understand the importance of cleaning, disinfection, and waste management in various settings. Learn about safe handling of chemicals and hazardous substances. Explore best practices for maintaining cleanliness and hygiene. Course 18: COSHH (Control of Substances Hazardous to Health) - Awareness Gain awareness of the COSHH regulations and their significance in workplace safety. Learn to identify hazardous substances and assess associated risks. Understand the measures and controls for safe handling of hazardous materials. Course 19: Spill Management Training Develop skills in responding to chemical spills and hazardous material incidents. Learn about containment and cleanup procedures for different types of spills. Understand the importance of risk assessment and prevention in spill management. Course 20: Horticulture & Organic Gardening Explore the principles of horticulture and organic gardening practices. Learn about plant propagation, soil health, and sustainable gardening techniques. Gain knowledge of organic pest control and environmentally friendly gardening. Course 21: Homesteading Diploma Gain knowledge and practical skills related to homesteading, including food production, self-sufficiency, and sustainable living. Learn about the principles of permaculture and how to create a self-sustaining homestead. Understand the basics of animal husbandry, crop cultivation, and homestead design. Course 22: Floristry Academy Diploma Develop expertise in floral design, arranging, and creating stunning flower arrangements. Learn about the different types of flowers, foliage, and their care and maintenance. Explore the art of floristry for various occasions, from weddings to special events. Course 23: Arboriculture Understand the science and practice of arboriculture, including tree care, maintenance, and preservation. Learn about tree biology, pruning techniques, and risk assessment in tree management. Gain knowledge of urban forestry and the importance of trees in urban environments. Course 24: Marine Biology Course - Online Diploma Explore marine ecosystems, biodiversity, and the role of marine organisms in aquatic environments. Learn about marine conservation, environmental threats, and the importance of protecting marine life. Gain insights into the field of marine biology and its relevance in scientific research. Course 25: Garden Design Develop skills in garden design, landscape planning, and creating outdoor spaces. Learn about garden styles, plant selection, and principles of garden aesthetics. Understand the practical aspects of garden construction and maintenance. Course 26: Escaping Consumerism Explore the concept of consumerism and its impact on individuals and society. Learn strategies for reducing consumption, living more sustainably, and embracing minimalism. Gain insights into the benefits of conscious consumer choices and alternative lifestyles. Certification After studying the complete Renewable Energy Complete Course training materials, you will be able to take the MCQ test that will assess your knowledge. After successfully passing the test you will be able to claim the pdf certificate for free. Original Hard Copy certificates need to be ordered at an additional cost of •8. CPD 300 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Course 27: Administration of Emergency Medical Gases Acquire knowledge of emergency medical gases, their uses, and safe administration. Learn about the regulatory requirements and guidelines for handling medical gases in emergencies. Develop skills in responding to medical emergencies that require the use of medical gases. Course 28: Accredited level 3 Oceanography Diploma Explore the field of oceanography, including ocean dynamics, marine ecosystems, and climate science. Gain knowledge of oceanographic research methods and data analysis techniques. Understand the role of oceanography in addressing environmental challenges. Course 29: Hydrogen Sulphide Training: Safety and Awareness in Hazardous Environments Learn about the properties of hydrogen sulphide (H2S) and its hazards in industrial environments. Acquire skills in detecting, preventing, and responding to H2S emergencies. Understand safety protocols and equipment used in H2S-prone settings. Course 30: Public Realm Manager's Guide: Urban Planning and Management Explore urban planning principles, city management, and the role of public realm managers. Learn about urban design, public spaces, and strategies for enhancing the quality of urban life. Gain insights into sustainable urban development and effective public realm management. Course 31: Solar & Thermal Energy: Harnessing Renewable Power Sources Understand the principles of solar and thermal energy generation and their applications. Learn about renewable energy technologies, including solar panels and thermal systems. Explore the benefits of harnessing solar and thermal energy for sustainable power generation. Ambitious learners who want to strengthen their CV for their desired job should take advantage of the Renewable Energy Complete Course bundle! This bundle is also ideal for professionals looking for career advancement. Renewable Energy Researcher Clean Energy Advocate Solar Installation Manager Wind Farm Operations Manager Biomass Energy Developer Climate Change Analyst Sustainability Director Renewable Energy Auditor Biofuel Production Technician Solar Panel Inspector Green Supply Chain Manager Energy Policy Analyst Wind Turbine Designer Solar Project Coordinator Energy Storage Specialist Geothermal Plant Operator Hydropower Plant Manager Environmental Consultant Renewable Energy Consultant Clean Energy Project Manager Sustainable Architecture Designer Energy Efficiency Engineer Renewable Energy Planner Carbon Emissions Analyst Biomass Fuel Technician Solar Power Plant Manager Wind Energy Researcher Energy Management Analyst Renewable Energy Technician Bioenergy Analyst Solar Power Systems Designer Wind Turbine Maintenance Technician Hydropower Systems Engineer Environmental Scientist Sustainable Business Manager Green Energy Policy Advisor Wind Turbine Blade Technician Solar Energy Systems Engineer Sustainable Transportation Planner Renewable Energy Sales Representative Biomass Energy Systems Designer Carbon Offset Specialist Climate Risk Analyst Geothermal Energy Researcher Energy Efficiency Consultant Solar Energy Analyst Green Building Project Manager Wind Turbine Tower Technician Hydropower Plant Engineer Environmental Educator Clean Energy Investment Analyst Renewable Energy Project Developer Sustainable Product Designer Green Supply Chain Analyst Energy Policy Researcher Wind Energy Systems Engineer Solar Panel Manufacturing Technician Biofuel Production Engineer Energy Efficiency Auditor Hydropower Project Coordinator Environmental Impact Analyst Sustainable Agriculture Specialist Renewable Energy Market Analyst Biomass Power Plant Manager Solar Energy Systems Installer Wind Farm Construction Manager Green Energy Consultant Wind Turbine Systems Engineer Requirements Course 32: Sustainable Management of Renewable Energy Resources Develop expertise in the sustainable management of renewable energy sources. Learn about energy policy, renewable energy systems, and their environmental impact. Explore strategies for integrating renewable energy into existing energy grids and systems. Career path Renewable Energy Engineer Solar Power Technician Wind Turbine Technician Biomass Plant Operator Energy Analyst Energy Consultant Sustainability Coordinator Solar Sales Consultant Wind Energy Project Manager Green Building Consultant Energy Efficiency Specialist Geothermal Technician Hydropower Engineer Environmental Compliance Analyst

Step into the intriguing world of criminal intelligence with the 'Criminal Intelligence Researcher' course, a journey that blends criminology, intelligence, and justice. This course is a gateway to understanding the intricate web of criminal intelligence, beginning with foundational knowledge in this topic and crime intelligence analysis.  As you progress, the curriculum delves into the historical roots of analysis disciplines, fostering a deeper appreciation of the intelligence cycle and process. The inclusion of the UK's National Intelligence Model offers a real-world perspective, enhancing your understanding of the criminal justice system. Moreover, the course addresses the evolving field of crime science, emphasising the importance of pattern detection and analysis. You'll gain insights into critical thinking approaches, crime mapping, and strategic analysis, skills crucial for a criminal-intelligence analyst.  The journey culminates in exploring the realms of research, inference policing, and behavioural science, equipping you for diverse roles in criminal intelligence agencies and beyond. Learning Outcomes: Gain comprehensive knowledge of this field, including its application in crime analysis and justice. Understand the historical evolution and significance of this topic. Acquire skills in the intelligence cycle, crime mapping, and strategic analysis for practical application. Develop a critical thinking approach to analyse criminal patterns and statistics. Learn about the interplay of behavioural science in criminal intelligence and its role in modern policing strategies. Why buy this Criminal Intelligence Researcher Course? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards and CIQ after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Unlock career resources for CV improvement, interview readiness, and job success. Certification After studying the course materials of the Criminal Intelligence Researcher you will be able to take the MCQ test that will assess your knowledge. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this Criminal Intelligence Researcher course for? Individuals aspiring to work in national criminal intelligence services. Graduates seeking criminal intelligence analyst jobs. Professionals in law enforcement seeking to enhance their analytical skills. Students interested in the intersection of artificial intelligence and criminal justice. Career switchers aiming to enter this field. Prerequisites This Criminal Intelligence Researcher was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Career path Intelligence Analyst: £30,000 - £45,000 Per Annum Crime Data Analyst: £27,000 - £40,000 Per Annum Intelligence Researcher for National Services: £35,000 - £50,000 Per Annum Crime Pattern Analyst: £29,000 - £43,000 Per Annum Intelligence Officer in Criminal Justice: £31,000 - £46,000 Per Annum Forensic Behavioural Scientist: £32,000 - £48,000 Per Annum Course Curriculum Criminology, Intelligence and Criminal Justice Module 01: Criminal Intelligence and Crime Intelligence Analysis Module 01: Criminal Intelligence and Crime Intelligence Analysis 00:15:00 Module 02: A Historical Perspective on the Discipline of Analysis Module 02: A Historical Perspective on the Discipline of Analysis 00:15:00 Module 03: The Intelligence Cycle and Process Module 03: The Intelligence Cycle and Process 00:30:00 Module 04: Example of a National Intelligence Model: The United Kingdom Module 04: Example of a National Intelligence Model: The United Kingdom 00:15:00 Module 05: Introduction to Criminal Justice Module 05: Introduction to Criminal Justice 01:00:00 Crime Science, Pattern Detection and Analysis Module 06: Crime Science: Theories Principles and Intelligent Sources Module 06: Crime Science: Theories, Principles and Intelligent Sources 00:17:00 Module 07: Evaluation of Information Module 07: Evaluation of Information 00:15:00 Module 08: Introduction to the Analysis of Patterns, Statistics & Relationships Module 08: Introduction to the Analysis of Patterns, Statistics & Relationships 00:35:00 Thinking approach, Crime Mapping and Strategic Analysis Module 09: A Critical Thinking Approach to Analysis Module 09: A Critical Thinking Approach to Analysis 00:35:00 Module 10: Tactical Analysis with Crime Mapping and the GIS System Module 10: Tactical Analysis with Crime Mapping and the GIS System 00:20:00 Module 11: Strategic Analysis Variations Module 11: Strategic Analysis Variations 01:00:00 Module 12: Realising The Power of Analytics: Arming the Human Mind Module 12: Realizing The Power of Analytics: Arming the Human Mind 01:00:00 Research, Inference Policing and the Behavioural Science Module 13: Research Method and Statistics in Crime Analysis Module 13: Research Method and Statistics in Crime Analysis 00:20:00 Module 14: Inference Development and the Presentation of the Results Module 14: Inference Development and the Presentation of the Results 00:35:00 Module 15: Homeland Security and Counter Terrorism Module 15: Homeland Security and Counter Terrorism 01:30:00 Module 16: Models of Policing and Security Module 16: Models of Policing and Security 01:20:00 Module 17: Behavioural Sciences Module 17: Behavioural Sciences 00:10:00 Module 18: Career in CIA (Crime Intelligence Analyst) Module 18: Career in CIA (Crime Intelligence Analyst) 00:15:00 Additional Reading Materials Additional Reading Materials - Criminal Intelligence Researcher 00:00:00 Mock Exam Mock Exam - Criminal Intelligence Researcher 00:20:00 Final Exam Final Exam - Criminal Intelligence Researcher 00:20:00

Getting Started The QUALIFI Level 3 Diploma in Data Science aims to offer learners a comprehensive introduction to data science. This Level 3 Diploma provides a modern and all-encompassing overview of data science, artificial intelligence, and machine learning. It covers the evolution of artificial intelligence and machine learning from their beginnings in the late 1950s to the emergence of the "big data" era in the early 2000s. It extends to the current AI and machine learning applications, including the associated challenges. In addition to covering standard machine learning models like linear and logistic regression, decision trees, and k-means clustering, this diploma introduces learners to two emerging areas of data science: synthetic data and graph data science. Moreover, the diploma familiarizes learners with the landscape of data analysis and the relevant analytical tools. It includes introducing Python programming so learners can effectively analyse, explore, and visualize data and implement fundamental data science models. Key Benefits Acquire the essential mathematical and statistical knowledge necessary for conducting fundamental data analysis. Cultivate analytical and machine learning proficiency using Python. Foster a solid grasp of data and its related processes, encompassing data cleaning, data structuring, and data preparation for analysis and visualisation. Gain insight into the expansive data science landscape and ecosystem, including relational databases, graph databases, programming languages like Python, visualisation tools, and various analytical instruments. Develop expertise in comprehending the machine learning procedures, including the ability to discern which algorithms are suited for distinct problems and to navigate the steps involved in constructing, testing, and validating a model. Attain an understanding of contemporary and emerging facets of data science and their applicability to modern challenges Key Highlights This course module prepares learners for higher-level Data science positions through personal and professional development. We will ensure your access to the first-class education needed to achieve your goals and dreams and to maximize future opportunities. Remember! The assessment for the Qualification is done based on assignments only, and you do not need to worry about writing any exam. With the School of Business and Technology London, you can complete the Qualification at your own pace, choosing online or blended learning from the comfort of your home. Learning and pathway materials and study guides developed by our qualified tutors will be available around the clock in our cutting-edge learning management system. Most importantly, at the School of Business and Technology London, we will provide comprehensive tutor support through our dedicated support desk. If you choose your course with blended learning, you will also enjoy live sessions with an assigned tutor, which you can book at your convenience. Career Pathways Upon completing the QUALIFI Level 3 Diploma in Data Science, learners can advance their studies or pursue employment opportunities. Data Analyst with an estimated average salary of £39,445 per annum Business Intelligence Analyst with an estimated average salary of £40,000 per annum Data entry specialist with an estimated average salary of £22,425 per annum Database Administrator with an estimated average salary of £44,185 per annum About Awarding Body QUALIFI, recognised by Ofqual awarding organisation has assembled a reputation for maintaining significant skills in a wide range of job roles and industries which comprises Leadership, Hospitality & Catering, Health and Social Care, Enterprise and Management, Process Outsourcing and Public Services. They are liable for awarding organisations and thereby ensuring quality assurance in Wales and Northern Ireland. What is included? Outstanding tutor support that gives you supportive guidance all through the course accomplishment through the SBTL Support Desk Portal. Access our cutting-edge learning management platform to access vital learning resources and communicate with the support desk team. Quality learning materials such as structured lecture notes, study guides, and practical applications, which include real-world examples and case studies, will enable you to apply your knowledge. Learning materials are provided in one of the three formats: PDF, PowerPoint, or Interactive Text Content on the learning portal. The tutors will provide Formative assessment feedback to improve the learners' achievements. Assessment materials are accessible through our online learning platform. Supervision for all modules. Multiplatform accessibility through an online learning platform facilitates SBTL in providing learners with course materials directly through smartphones, laptops, tablets or desktops, allowing students to study at their convenience. Live Classes (for Blended Learning Students only) Assessment Time-constrained scenario-based assignments No examinations Entry Requirements The qualification has been intentionally designed to ensure accessibility without imposing artificial barriers that limit entry. To enrol in this qualification, applicants must be 18 years of age or older. Admittance to the qualification will be managed through centre-led registration processes, which may involve interviews or other appropriate procedures. Despite the presence of advanced mathematics and statistics in higher-level data science courses, encompassing subjects such as linear algebra and differential calculus, this Level 3 Diploma only requires learners to be comfortable with mathematics at the GCSE level. The diploma's mathematical and statistical concepts are based on standard mathematical operations like addition, multiplication, and division. Before commencing the Level 3 Diploma in Data Science, learners are expected to meet the following minimum requirements: i) GCSE Mathematics with a grade of B or higher (equivalent to the new level 6 or above); and ii) GCSE English with a grade of C or higher (equivalent to the new level 4 or above). Furthermore, prior coding experience is not mandatory, although learners should be willing and comfortable with learning Python. Python has been selected for its user-friendly and easily learnable nature. In exceptional circumstances, applicants with substantial experience but lacking formal qualifications may be considered for admission, contingent upon completing an interview and demonstrating their ability to meet the demands of the capability. Progression Upon successful completion of the QUALIFI Level 3 Diploma in Data Science, learners will have several opportunities: Progress to QUALIFI Level 4 Diploma in Data Science: Graduates can advance their education and skills by enrolling in the QUALIFI Level 4 Diploma in Data Science, which offers a more advanced and comprehensive study of the field. Apply for Entry to a UK University for an Undergraduate Degree: This qualification opens doors to higher education, allowing learners to apply for entry to a UK university to pursue an undergraduate degree in a related field, such as data science, computer science, or a related discipline. Progress to Employment in an Associated Profession: Graduates of this program can enter the workforce and seek employment opportunities in professions related to data science, artificial intelligence, machine learning, data analysis, and other relevant fields. These progression options provide learners with a diverse range of opportunities for further education, career advancement, and professional development in the dynamic and rapidly evolving field of data science Why gain a QUALIFI Qualification? This suite of qualifications provides enormous opportunities to learners seeking career and professional development. The highlighting factor of this qualification is that: The learners attain career path support who wish to pursue their career in their denominated sectors; It helps provide a deep understanding of the health and social care sector and managing the organisations, which will, in turn, help enhance the learner's insight into their chosen sector. The qualification provides a real combination of disciplines and skills development opportunities. The Learners attain in-depth awareness concerning the organisation's functioning, aims and processes. They can also explore ways to respond positively to this challenging and complex health and social care environment. The learners will be introduced to managing the wide range of health and social care functions using theory, practice sessions and models that provide valuable knowledge. As a part of this suite of qualifications, the learners will be able to explore and attain hands-on training and experience in this field. Learners also acquire the ability to face and solve issues then and there by exposure to all the Units. The qualification will also help to Apply scientific and evaluative methods to develop those skills. Find out threats and opportunities. Develop knowledge in managerial, organisational and environmental issues. Develop and empower critical thinking and innovativeness to handle problems and difficulties. Practice judgement, own and take responsibility for decisions and actions. Develop the capacity to perceive and reflect on individual learning and improve their social and other transferable aptitudes and skills Learners must request before enrolment to interchange unit(s) other than the preselected units shown in the SBTL website because we need to make sure the availability of learning materials for the requested unit(s). SBTL will reject an application if the learning materials for the requested interchange unit(s) are unavailable. Learners are not allowed to make any request to interchange unit(s) once enrolment is complete. UNIT1- The Field of Data Science Reference No : H/650/4951 Credit : 6 || TQT : 60 This unit provides learners with an introduction to the field of data science, tracing its origins from the emergence of artificial intelligence and machine learning in the late 1950s, through the advent of the "big data" era in the early 2000s, to its contemporary applications in AI, machine learning, and deep learning, along with the associated challenges. UNIT2- Python for Data Science Reference No : J/650/4952 Credit : 9 || TQT : 90 This unit offers learners an introductory approach to Python programming tailored for data science. It begins by assuming no prior coding knowledge or familiarity with Python and proceeds to elucidate Python's fundamentals, including its design philosophy, syntax, naming conventions, and coding standards. UNIT3- Creating and Interpreting Visualisations in Data Science Reference No : K/650/4953 Credit : 3 || TQT : 30 This unit initiates learners into the realm of fundamental charts and visualisations, teaching them the art of creating and comprehending these graphical representations. It commences by elucidating the significance of visualisations in data comprehension and discerns the characteristics distinguishing effective visualisations from subpar ones. UNIT4- Data and Descriptive Statistics in Data Science Reference No : L/650/4954 Credit : 6 || TQT : 60 The primary objective of this unit is to acquaint learners with the foundational concepts of descriptive statistics and essential methods crucial for data analysis and data science. UNIT5- Fundamentals of Data Analytics Reference No : M/650/4955 Credit : 3 || TQT : 30 This unit will enable learners to distinguish between the roles of a Data Analyst, Data Scientist, and Data Engineer. Additionally, learners can provide an overview of the data ecosystem, encompassing databases and data warehouses, and gain familiarity with prominent vendors and diverse tools within this data ecosystem. UNIT6- Data Analysis with Python Reference No : R/650/4956 Credit : 3 || TQT : 30 This unit initiates learners into the fundamentals of data analysis using Python. It acquaints them with essential concepts like Pandas Data Frames and Series and the techniques of merging and joining data. UNIT7- Data Analysis with Python Reference No : R/650/4956 Credit : 3 || TQT : 30 This unit initiates learners into the fundamentals of data analysis using Python. It acquaints them with essential concepts like Pandas Data Frames and Series and the techniques of merging and joining data. UNIT8- Machine Learning Methods and Models in Data Science Reference No : T/650/4957 Credit : 3 || TQT : 30 This unit explores the practical applications of various methods in addressing real-world problems. It provides a summary of the key features of these different methods and highlights the challenges associated with each of them. UNIT9- The Machine Learning Process Reference No : Y/650/4958 Credit : 3 || TQT : 30 This unit provides an introduction to the numerous steps and procedures integral to the construction and assessment of machine learning models. UNIT10- Linear Regression in Data Science Reference No : A/650/4959 Credit : 3 || TQT : 30 This unit offers a foundational understanding of simple linear regression models, a crucial concept for predicting the value of one continuous variable based on another. Learners will gain the capability to estimate the best-fit line by computing regression parameters and comprehend the accuracy associated with this line of best-fit. UNIT11- Logistic Regression in Data Science Reference No : H/650/4960 Credit : 3 || TQT : 30 This unit introduces logistic regression, emphasizing its role as a classification algorithm. It delves into the fundamentals of binary logistic regression, covering essential concepts such as the logistic function, Odds ratio, and the Logit function. UNIT12- Decision Trees in Data Science Reference No : J/650/4961 Credit : 3 || TQT : 30 This unit offers an introductory exploration of decision trees' fundamental theory and practical application. It elucidates the process of constructing basic classification trees employing the standard ID3 decision-tree construction algorithm, including the node-splitting criteria based on information theory principles such as Entropy and Information Gain. Additionally, learners will gain hands-on experience in building and assessing decision tree models using Python. UNIT13- K-means clustering in Data Science Reference No : K/650/4962 Credit : 3 || TQT : 30 This unit initiates learners into unsupervised machine learning, focusing on the k-means clustering algorithm. It aims to give learners an intuitive understanding of the k-means clustering method and equip them with the skills to determine the optimal number of clusters. UNIT14- Synthetic Data for Privacy and Security in Data Science Reference No : L/650/4963 Credit : 6 || TQT : 60 This unit is designed to introduce learners to the emerging field of data science, specifically focusing on synthetic data and its applications in enhancing data privacy and security. UNIT15- Graphs and Graph Data Science Reference No : M/650/4964 Credit : 6 || TQT : 60 This unit offers a beginner-friendly introduction to graph theory, a foundational concept that underlies modern graph databases and graph analytics. Delivery Methods School of Business & Technology London provides various flexible delivery methods to its learners, including online learning and blended learning. Thus, learners can choose the mode of study as per their choice and convenience. The program is self-paced and accomplished through our cutting-edge Learning Management System. Learners can interact with tutors by messaging through the SBTL Support Desk Portal System to discuss the course materials, get guidance and assistance and request assessment feedbacks on assignments. We at SBTL offer outstanding support and infrastructure for both online and blended learning. We indeed pursue an innovative learning approach where traditional regular classroom-based learning is replaced by web-based learning and incredibly high support level. Learners enrolled at SBTL are allocated a dedicated tutor, whether online or blended learning, who provide learners with comprehensive guidance and support from start to finish. The significant difference between blended learning and online learning methods at SBTL is the Block Delivery of Online Live Sessions. Learners enrolled at SBTL on blended learning are offered a block delivery of online live sessions, which can be booked in advance on their convenience at additional cost. These live sessions are relevant to the learners' program of study and aim to enhance the student's comprehension of research, methodology and other essential study skills. We try to make these live sessions as communicating as possible by providing interactive activities and presentations. Resources and Support School of Business & Technology London is dedicated to offering excellent support on every step of your learning journey. School of Business & Technology London occupies a centralised tutor support desk portal. Our support team liaises with both tutors and learners to provide guidance, assessment feedback, and any other study support adequately and promptly. Once a learner raises a support request through the support desk portal (Be it for guidance, assessment feedback or any additional assistance), one of the support team members assign the relevant to request to an allocated tutor. As soon as the support receives a response from the allocated tutor, it will be made available to the learner in the portal. The support desk system is in place to assist the learners adequately and streamline all the support processes efficiently. Quality learning materials made by industry experts is a significant competitive edge of the School of Business & Technology London. Quality learning materials comprised of structured lecture notes, study guides, practical applications which includes real-world examples, and case studies that will enable you to apply your knowledge. Learning materials are provided in one of the three formats, such as PDF, PowerPoint, or Interactive Text Content on the learning portal. How does the Online Learning work at SBTL? We at SBTL follow a unique approach which differentiates us from other institutions. Indeed, we have taken distance education to a new phase where the support level is incredibly high.Now a days, convenience, flexibility and user-friendliness outweigh demands. Today, the transition from traditional classroom-based learning to online platforms is a significant result of these specifications. In this context, a crucial role played by online learning by leveraging the opportunities for convenience and easier access. It benefits the people who want to enhance their career, life and education in parallel streams. SBTL's simplified online learning facilitates an individual to progress towards the accomplishment of higher career growth without stress and dilemmas. How will you study online? With the School of Business & Technology London, you can study wherever you are. You finish your program with the utmost flexibility. You will be provided with comprehensive tutor support online through SBTL Support Desk portal. How will I get tutor support online? School of Business & Technology London occupies a centralised tutor support desk portal, through which our support team liaise with both tutors and learners to provide guidance, assessment feedback, and any other study support adequately and promptly. Once a learner raises a support request through the support desk portal (Be it for guidance, assessment feedback or any additional assistance), one of the support team members assign the relevant to request to an allocated tutor. As soon as the support receive a response from the allocated tutor, it will be made available to the learner in the portal. The support desk system is in place to assist the learners adequately and to streamline all the support process efficiently. Learners should expect to receive a response on queries like guidance and assistance within 1 - 2 working days. However, if the support request is for assessment feedback, learners will receive the reply with feedback as per the time frame outlined in the Assessment Feedback Policy.

Aligned with the AIGP certification program, AI Governance Professional Training is for professionals tasked with implementing AI governance and risk management in their organizations. It provides baseline knowledge and strategies for responding to complex risks associated with the evolving AI landscape. This training meets the rapidly growing need for professionals who can develop, integrate and deploy trustworthy AI systems in line with emerging laws and policies. About This Course This training teaches critical artificial intelligence governance concepts that are also integral to the AIGP certification exam. While not purely a 'test prep' course, this training is appropriate for professionals who plan to certify, as well as for those who want to deepen their AI governance knowledge. Both the training and the exam are based on the same body of knowledge.   Module 1: Foundations of artificial intelligence Defines AI and machine learning, presents an overview of the different types of AI systems and their use cases, and positions AI models in the broader socio-cultural context. Module 2: AI impacts on people and responsible AI principles Outlines the core risks and harms posed by AI systems, the characteristics of trustworthy AI systems, and the principles essential to responsible and ethical AI. Module 3: AI development life cycle Describes the AI development life cycle and the broad context in which AI risks are managed. Module 4: Implementing responsible AI governance and risk management Explains how major AI stakeholders collaborate in a layered approach to manage AI risks while acknowledging AI systems' potential societal benefits. Module 5: Implementing AI projects and systems Outlines mapping, planning and scoping AI projects, testing and validating AI systems during development, and managing and monitoring AI systems after deployment. Module 6: Current laws that apply to AI systems Surveys the existing laws that govern the use of AI, outlines key GDPR intersections, and provides awareness of liability reform. Module 7: Existing and emerging AI laws and standards Describes global AI-specific laws and the major frameworks and standards that exemplify how AI systems can be responsibly governed. Module 8: Ongoing AI issues and concerns Presents current discussions and ideas about AI governance, including awareness of legal issues, user concerns, and AI auditing and accountability issues. Accreditation The associated exam is accredited by the IAPP under its ANSI Accreditation Who Should Attend? Any professionals tasked with developing AI governance and risk management in their operations, and anyone pursuing IAPP Artificial Intelligence Governance Professional certification. Prerequisites A general understanding of AI, Corporate Governance, and Business value would be of benefit to participants. Assessment As with all IAPP exams, the AIGP is a 90 question, multiple choice exam to be completed within 150 minutes. Exams are hosted by Pearsonvue and can be taken either remotely, or via any one of hundreds of exam venues globally. A passing score is achieved at 70% Our Guarantee We are an approved IAPP training provider Exam pass guarantee, or retrain until you do, for free What's Included? Participant Guide Study Guide Practice Exam Exam voucher Breakfast, lunch, coffees and snacks (Classroom courses only) Certification Logo

Take our part-time online “Conversion Course into Pharmaceutical Manufacturing“ NO Previous Industry Experience or Science Qualifications Required