226 Harvest courses in Cardiff delivered Online

Embark on a journey through Hydroponic Horticulture. From system design to pest management, this course provides a comprehensive understanding of hydroponic farming, ensuring you’re equipped with the knowledge for successful cultivation and business operations.

🌱 Unlock Your Potential with Our Agriculture Course! Are you ready to cultivate a brighter future in the world of agriculture? Dive into the vast expanse of possibilities with our comprehensive Agriculture course! 🚜   Why Choose Our Agriculture Course? 👩‍🌾 Grow Your Knowledge: From soil management to crop production techniques, our course covers all aspects of modern agriculture, providing you with a solid foundation to thrive in this dynamic field. 📈 Stay Ahead of the Curve: In today's rapidly evolving agricultural landscape, staying updated with the latest trends and technologies is crucial. Our course ensures you're equipped with the most current practices to excel in your endeavors. 💡 Hands-On Learning: Theory is essential, but practical experience is invaluable. That's why our course integrates hands-on learning opportunities, allowing you to apply theoretical concepts in real-world scenarios, enhancing your understanding and skill set. 🌍 Make a Difference: Agriculture plays a vital role in feeding the world's growing population and addressing global food security challenges. By enrolling in our course, you'll be part of a movement driving sustainable agricultural practices and making a positive impact on society and the environment. 🎓 Expert Guidance: Learn from seasoned professionals and industry experts who bring years of experience and insights to the table. Benefit from their mentorship as you navigate through the complexities of agriculture and carve out your path to success.   Who is this for? 👨‍🌾 Aspiring Farmers: Whether you dream of managing your own farm or joining an established agricultural enterprise, this course provides the knowledge and skills you need to kickstart your journey in farming. 👩‍🔬 Agricultural Scientists: If you're passionate about research and innovation in agriculture, our course offers a solid grounding in scientific principles and methodologies, empowering you to contribute to groundbreaking discoveries and advancements in the field. 🌱 Agribusiness Entrepreneurs: For those looking to venture into agribusiness, understanding the intricacies of agriculture is essential for making informed decisions and maximizing profitability. Our course equips you with the business acumen and industry insights necessary to thrive in the competitive agribusiness landscape. 👩‍🎓 Students and Educators: Whether you're pursuing a career in agriculture or teaching the next generation of agricultural professionals, our course provides valuable resources and knowledge to support your academic and career aspirations.   Career Path 🚜 Farm Manager: Take the helm of agricultural operations, overseeing day-to-day activities, managing resources, and optimizing productivity to ensure the success of the farm. 🌾 Crop Consultant: Offer expert advice to farmers on crop selection, planting techniques, pest management, and other aspects of crop production to maximize yields and profitability. 🌱 Sustainability Specialist: Champion sustainable farming practices, promoting environmental stewardship and resource conservation to create a more resilient and eco-friendly agricultural ecosystem. 🔬 Research Scientist: Conduct groundbreaking research in agricultural science, exploring innovative solutions to enhance crop productivity, mitigate climate change impacts, and address global food security challenges. 📊 Agribusiness Manager: Lead strategic initiatives in agribusiness, from market analysis and supply chain management to sales and marketing, driving growth and profitability in agricultural enterprises.   Embark on your journey to success in agriculture today! Enroll in our Agriculture course and unlock a world of opportunities in this thriving industry. 🌱🌟   FAQ (Frequently Asked Questions) - Agriculture Course Q1: What is Agriculture? Agriculture is the practice of cultivating crops, raising animals, and other activities involved in the production of food, fiber, and other products used to sustain human life. It encompasses various practices such as crop cultivation, animal husbandry, forestry, and aquaculture. Agriculture plays a crucial role in providing food security, supporting livelihoods, and contributing to economic development globally. Q2: What are the key principles of sustainable agriculture? Sustainable agriculture aims to meet current food production needs without compromising the ability of future generations to meet their own needs. Key principles of sustainable agriculture include soil health management, water conservation, biodiversity preservation, integrated pest management, and promoting efficient resource use. It emphasizes environmentally friendly practices that promote resilience, minimize negative impacts on ecosystems, and ensure the long-term viability of agricultural systems. Q3: What are the major challenges facing modern agriculture? Modern agriculture faces various challenges, including climate change, soil degradation, water scarcity, pest and disease outbreaks, and socio-economic disparities. Climate change disrupts weather patterns, leading to more frequent extreme weather events such as droughts and floods, which affect crop yields and livestock production. Soil degradation reduces fertility and threatens agricultural productivity, while water scarcity limits irrigation and threatens crop survival. Pests and diseases can devastate crops if not managed effectively, and socio-economic disparities impact access to resources and markets for smallholder farmers. Q4: How can technology improve agricultural productivity? Technology plays a vital role in enhancing agricultural productivity and efficiency. Innovations such as precision farming, genetically modified crops, drones, and remote sensing technologies help farmers monitor crops, optimize inputs, and manage resources more effectively. Machinery and equipment such as tractors, harvesters, and irrigation systems streamline farming operations, saving time and labor. Information and communication technologies provide farmers with access to market information, weather forecasts, and agricultural extension services, enabling them to make informed decisions and improve their yields. Q5: What career opportunities are available in the field of agriculture? The field of agriculture offers diverse career opportunities across various sectors, including farming, agribusiness, research and development, extension services, education, policy-making, and conservation. Career options include agronomist, agricultural engineer, livestock specialist, farm manager, agricultural economist, food scientist, extension officer, environmental consultant, and policy analyst. With the growing demand for sustainable food production and innovation in agriculture, there is a need for skilled professionals to address the challenges and opportunities in the agricultural sector. Course Curriculum Module 1 Introduction to Agriculture Introduction to Agriculture 00:00 Module 2 Soil Management Soil Management 00:00 Module 3 Sustainable Agriculture Practices Sustainable Agriculture Practices 00:00 Module 4 Marketing and Business Management in Agriculture Marketing and Business Management in Agriculture 00:00 Module 5 Agricultural Technology Agricultural Technology 00:00

Discover the fascinating world of hydroponics with this expertly designed online course that guides you through setting up your own home hydroponic farm. From understanding the fundamental principles behind soil-less growing to selecting the right equipment and rooting media, this course offers a clear pathway to cultivating healthy plants in a controlled environment. Whether you are a keen gardener or simply interested in sustainable food production, you will gain valuable insights into plant nutrition, seedling care, and how to maintain optimal growing conditions indoors. This course also addresses common nutritional challenges plants face and offers practical solutions to keep your hydroponic system flourishing. Additionally, it covers the nuances of growing in a greenhouse setting, allowing you to extend your gardening capabilities throughout the year. All content is delivered online, allowing you to learn at your own pace without any need for physical attendance. Ideal for anyone wanting to explore innovative gardening methods, this course provides a thorough understanding of hydroponic farming to help you grow fresh, healthy produce right at home. Key Features CPD Accredited FREE PDF + Hardcopy certificate Fully online, interactive course Self-paced learning and laptop, tablet and smartphone-friendly 24/7 Learning Assistance Discounts on bulk purchases Course Curriculum of Build Your Own Home Hydroponic Farm Module 01 :Introduction to Hydroponics Module 02 :Equipment for Hydroponics Module 03 :Rooting Media Module 04 :Plant Nutrition Module 05 :Seed, Seedling and Plant Maintenance Module 06 :Nutritional Problems in Plant Module 07 :Nutritional Problems and Solutions in Plant Module 08 : Growing in Greenhouse Learning Outcomes: Grasp Hydroponic Fundamentals: Understand the core principles of hydroponic farming. Equip with Essential Tools: Familiarize yourself with the necessary hydroponic equipment. Optimize Plant Nutrition: Learn to provide optimal nutrition for robust plant growth. Master Seedling Care: Cultivate healthy seedlings and sustain plant vitality. Resolve Nutritional Challenges: Identify and address common plant nutrition issues. Flourish in Greenhouse Environment: Gain expertise in greenhouse-based cultivation. Accreditation This course is CPD Quality Standards (CPD QS) accredited, providing you with up-to-date skills and knowledge and helping you to become more competent and effective in your chosen field. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Enthusiastic gardening hobbyists seeking a modern approach. Urban dwellers with limited outdoor gardening space. Homeowners keen on sustainable and efficient farming methods. Botany enthusiasts eager to delve into hydroponics. Students pursuing horticulture or related fields. Individuals interested in self-sustaining agriculture practices. Entrepreneurs exploring innovative farming ventures. Gardeners aiming to diversify their skill set. Career path Hydroponic Farm Consultant Indoor Farming Technician Sustainable Agriculture Researcher Greenhouse Operations Manager Urban Agriculture Specialist Hydroponics Equipment Sales Representative Certificates Digital certificate Digital certificate - Included Once you've successfully completed your course, you will immediately be sent a FREE digital certificate. Hard copy certificate Hard copy certificate - Included Also, you can have your FREE printed certificate delivered by post (shipping cost £3.99 in the UK). For all international addresses outside of the United Kingdom, the delivery fee for a hardcopy certificate will be only £10. Our certifications have no expiry dates, although we do recommend that you renew them every 12 months.

Register on the Horticulture Diploma today and build the experience, skills and knowledge you need to enhance your professional development and work towards your dream job. Study this course through online learning and take the first steps towards a long-term career. The course consists of a number of easy to digest, in-depth modules, designed to provide you with a detailed, expert level of knowledge. Learn through a mixture of instructional video lessons and online study materials. Receive online tutor support as you study the course, to ensure you are supported every step of the way. Get a digital certificate as a proof of your course completion. The Horticulture Diploma is incredibly great value and allows you to study at your own pace. Access the course modules from any internet-enabled device, including computers, tablet, and smartphones. The course is designed to increase your employability and equip you with everything you need to be a success. Enrol on the now and start learning instantly! What You Get With The Horticulture Diploma Receive a e-certificate upon successful completion of the course Get taught by experienced, professional instructors Study at a time and pace that suits your learning style Get instant feedback on assessments 24/7 help and advice via email or live chat Get full tutor support on weekdays (Monday to Friday) Course Design The course is delivered through our online learning platform, accessible through any internet-connected device. There are no formal deadlines or teaching schedules, meaning you are free to study the course at your own pace. You are taught through a combination of Video lessons Online study materials Certification Upon successful completion of the course, you will be able to obtain your course completion e-certificate free of cost. Print copy by post is also available at an additional cost of £9.99 and PDF Certificate at £4.99. Who Is This Course For: The course is ideal for those who already work in this sector or are an aspiring professional. This course is designed to enhance your expertise and boost your CV. Learn key skills and gain a professional qualification to prove your newly-acquired knowledge. Requirements: The online training is open to all students and has no formal entry requirements. To study the Horticulture Diploma, all your need is a passion for learning, a good understanding of English, numeracy, and IT skills. You must also be over the age of 16.

Duration 1 Days 6 CPD hours This course is intended for It is essential information for beginning IT Asset Managers and other IT professionals involved in asset management, resource budgeting, finance, software licensing, contract management and strategic planning. Overview During this course, students learn best practices in Software Asset Management Reducing Risk Increasing Accountability Uncovering Savings Gaining Control of the IT Environment The IAITAM Certified Software Asset Manager (CSAM) Course is a foundational education program that ensures students are able to manage software assets. Students also learn about the ever-changing variables throughout our industry. From software piracy and compliance issues to legislation and organizational challenges, it is necessary to evaluate both the internal and external influences that bring about change in how organizations manage their IT assets. A successful Software Asset Manager must look at the overall goals of the organization and determine where Software Asset Management will be a strategic influence in achieving those goals. This course also includes the exam for CSAM certification. Course Outline The Scope of Software Strategic License Management Software Harvesting License Documentation The Right to Audit Proactive vs. Reactive SAM Developing Goals Savings Opportunities ITAM Compliance Audit Letter Examples of License Data Documentation Compliance Enforcement Understanding the EULA Due Diligence for Compliance The Art of Negotiation Ts & Cs Advice ITAM Automation Selecting a Discovery Tool ITAM Repository Hardware & Organizational Impacts Additional course details: Nexus Humans Certified Software Asset Manager (CSAM) 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 Certified Software Asset Manager (CSAM) 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 Audience: Data Scientists, Software Developers, IT Architects, and Technical Managers. Participants should have the general knowledge of statistics and programming Also familiar with Python Overview ? NumPy, pandas, Matplotlib, scikit-learn ? Python REPLs ? Jupyter Notebooks ? Data analytics life-cycle phases ? Data repairing and normalizing ? Data aggregation and grouping ? Data visualization ? Data science algorithms for supervised and unsupervised machine learning Covers theoretical and technical aspects of using Python in Applied Data Science projects and Data Logistics use cases. Python for Data Science ? Using Modules ? Listing Methods in a Module ? Creating Your Own Modules ? List Comprehension ? Dictionary Comprehension ? String Comprehension ? Python 2 vs Python 3 ? Sets (Python 3+) ? Python Idioms ? Python Data Science ?Ecosystem? ? NumPy ? NumPy Arrays ? NumPy Idioms ? pandas ? Data Wrangling with pandas' DataFrame ? SciPy ? Scikit-learn ? SciPy or scikit-learn? ? Matplotlib ? Python vs R ? Python on Apache Spark ? Python Dev Tools and REPLs ? Anaconda ? IPython ? Visual Studio Code ? Jupyter ? Jupyter Basic Commands ? Summary Applied Data Science ? What is Data Science? ? Data Science Ecosystem ? Data Mining vs. Data Science ? Business Analytics vs. Data Science ? Data Science, Machine Learning, AI? ? Who is a Data Scientist? ? Data Science Skill Sets Venn Diagram ? Data Scientists at Work ? Examples of Data Science Projects ? An Example of a Data Product ? Applied Data Science at Google ? Data Science Gotchas ? Summary Data Analytics Life-cycle Phases ? Big Data Analytics Pipeline ? Data Discovery Phase ? Data Harvesting Phase ? Data Priming Phase ? Data Logistics and Data Governance ? Exploratory Data Analysis ? Model Planning Phase ? Model Building Phase ? Communicating the Results ? Production Roll-out ? Summary Repairing and Normalizing Data ? Repairing and Normalizing Data ? Dealing with the Missing Data ? Sample Data Set ? Getting Info on Null Data ? Dropping a Column ? Interpolating Missing Data in pandas ? Replacing the Missing Values with the Mean Value ? Scaling (Normalizing) the Data ? Data Preprocessing with scikit-learn ? Scaling with the scale() Function ? The MinMaxScaler Object ? Summary Descriptive Statistics Computing Features in Python ? Descriptive Statistics ? Non-uniformity of a Probability Distribution ? Using NumPy for Calculating Descriptive Statistics Measures ? Finding Min and Max in NumPy ? Using pandas for Calculating Descriptive Statistics Measures ? Correlation ? Regression and Correlation ? Covariance ? Getting Pairwise Correlation and Covariance Measures ? Finding Min and Max in pandas DataFrame ? Summary Data Aggregation and Grouping ? Data Aggregation and Grouping ? Sample Data Set ? The pandas.core.groupby.SeriesGroupBy Object ? Grouping by Two or More Columns ? Emulating the SQL's WHERE Clause ? The Pivot Tables ? Cross-Tabulation ? Summary Data Visualization with matplotlib ? Data Visualization ? What is matplotlib? ? Getting Started with matplotlib ? The Plotting Window ? The Figure Options ? The matplotlib.pyplot.plot() Function ? The matplotlib.pyplot.bar() Function ? The matplotlib.pyplot.pie () Function ? Subplots ? Using the matplotlib.gridspec.GridSpec Object ? The matplotlib.pyplot.subplot() Function ? Hands-on Exercise ? Figures ? Saving Figures to File ? Visualization with pandas ? Working with matplotlib in Jupyter Notebooks ? Summary Data Science and ML Algorithms in scikit-learn ? Data Science, Machine Learning, AI? ? Types of Machine Learning ? Terminology: Features and Observations ? Continuous and Categorical Features (Variables) ? Terminology: Axis ? The scikit-learn Package ? scikit-learn Estimators ? Models, Estimators, and Predictors ? Common Distance Metrics ? The Euclidean Metric ? The LIBSVM format ? Scaling of the Features ? The Curse of Dimensionality ? Supervised vs Unsupervised Machine Learning ? Supervised Machine Learning Algorithms ? Unsupervised Machine Learning Algorithms ? Choose the Right Algorithm ? Life-cycles of Machine Learning Development ? Data Split for Training and Test Data Sets ? Data Splitting in scikit-learn ? Hands-on Exercise ? Classification Examples ? Classifying with k-Nearest Neighbors (SL) ? k-Nearest Neighbors Algorithm ? k-Nearest Neighbors Algorithm ? The Error Rate ? Hands-on Exercise ? Dimensionality Reduction ? The Advantages of Dimensionality Reduction ? Principal component analysis (PCA) ? Hands-on Exercise ? Data Blending ? Decision Trees (SL) ? Decision Tree Terminology ? Decision Tree Classification in Context of Information Theory ? Information Entropy Defined ? The Shannon Entropy Formula ? The Simplified Decision Tree Algorithm ? Using Decision Trees ? Random Forests ? SVM ? Naive Bayes Classifier (SL) ? Naive Bayesian Probabilistic Model in a Nutshell ? Bayes Formula ? Classification of Documents with Naive Bayes ? Unsupervised Learning Type: Clustering ? Clustering Examples ? k-Means Clustering (UL) ? k-Means Clustering in a Nutshell ? k-Means Characteristics ? Regression Analysis ? Simple Linear Regression Model ? Linear vs Non-Linear Regression ? Linear Regression Illustration ? Major Underlying Assumptions for Regression Analysis ? Least-Squares Method (LSM) ? Locally Weighted Linear Regression ? Regression Models in Excel ? Multiple Regression Analysis ? Logistic Regression ? Regression vs Classification ? Time-Series Analysis ? Decomposing Time-Series ? Summary Lab Exercises Lab 1 - Learning the Lab Environment Lab 2 - Using Jupyter Notebook Lab 3 - Repairing and Normalizing Data Lab 4 - Computing Descriptive Statistics Lab 5 - Data Grouping and Aggregation Lab 6 - Data Visualization with matplotlib Lab 7 - Data Splitting Lab 8 - k-Nearest Neighbors Algorithm Lab 9 - The k-means Algorithm Lab 10 - The Random Forest Algorithm