Certified Professional in Machine Learning for Advertising in Mandarin Chinese

Monday, 23 February 2026 02:11:38

International applicants and their qualifications are accepted

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Overview

Overview

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Entry requirements

The program operates on an open enrollment basis, and there are no specific entry requirements. Individuals with a genuine interest in the subject matter are welcome to participate.

International applicants and their qualifications are accepted.

Step into a transformative journey at LSIB, where you'll become part of a vibrant community of students from over 157 nationalities.

At LSIB, we are a global family. When you join us, your qualifications are recognized and accepted, making you a valued member of our diverse, internationally connected community.

Course Content

• ???????? (Gugào jiqì xuéxí jichu)
• ??????????????? (Jiqì xuéxí suànfa zài gugào tóufàng zhong de yìngyòng)
• ????????? (Gugào dianjilu yùcè móxíng)
• ??????????? (Jingzhun dìngxiàng hé yònghù huàxiàng gòujiàn)
• A/B ??????? (A/B cèshì hé móxíng pínggu)
• ??????????? (Gugào chuàngyì youhuà yu jiqì xuéxí)
• ?????????? (Dà shùjù chuli yu tèzheng gongchéng)
• ???????? (Fan zuòbì hé gugào anquán)

Assessment

The evaluation process is conducted through the submission of assignments, and there are no written examinations involved.

Fee and Payment Plans

30 to 40% Cheaper than most Universities and Colleges

Duration & course fee

The programme is available in two duration modes:

1 month (Fast-track mode): 140
2 months (Standard mode): 90

Our course fee is up to 40% cheaper than most universities and colleges.

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Awarding body

The programme is awarded by London School of International Business. This program is not intended to replace or serve as an equivalent to obtaining a formal degree or diploma. It should be noted that this course is not accredited by a recognised awarding body or regulated by an authorised institution/ body.

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  • Start this course anytime from anywhere.
  • 1. Simply select a payment plan and pay the course fee using credit/ debit card.
  • 2. Course starts
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Got questions? Get in touch

Chat with us: Click the live chat button

+44 75 2064 7455

admissions@lsib.co.uk

+44 (0) 20 3608 0144



Career path

?????????????? (Certified Professional in Machine Learning for Advertising UK)

?? (Role) ???? (Description)
????????? (Machine Learning Advertising Engineer) ???????????,???????????????????????????
??????? (Advertising Data Scientist) ????????,????????,?????????????????????????
?????????? (Senior Machine Learning Advertising Specialist) ????,?????????????,???????????????????????

Key facts about Certified Professional in Machine Learning for Advertising in Mandarin Chinese

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成为一名Certified Professional in Machine Learning for Advertising (广告机器学习认证专业人士) 将赋予您在数字营销领域中运用机器学习技术的专业能力。通过深入学习,您将掌握精准定向、自动化广告投放和个性化推荐等关键技能。


课程内容涵盖了机器学习在广告中的各种应用,例如预测建模、A/B 测试优化,以及广告创意的自动化生成。 您将学习如何使用Python和相关的机器学习库(例如TensorFlow, scikit-learn)来分析广告数据,并构建预测模型以提高广告效果。数据分析、算法、模型评估等核心概念都将在课程中得到充分阐述。


课程时长通常为数周到数月不等,具体取决于学习强度和课程设置。 灵活的在线学习模式,让您能够根据自身时间安排学习进度。 我们的Certified Professional in Machine Learning for Advertising认证课程,将帮助您掌握行业所需的实用技能。


在竞争激烈的数字广告市场,拥有Certified Professional in Machine Learning for Advertising证书,将显著提升您的职业竞争力。 许多知名广告公司和科技企业都高度重视机器学习人才,这使得持有该认证的专业人士在求职市场上拥有显著优势。您将能够胜任诸如数据科学家、机器学习工程师或广告策略分析师等高薪职位。


通过学习,您将能够独立完成复杂的广告机器学习项目,并利用所学知识解决实际业务问题。这将使您在广告行业中脱颖而出,并为您的职业发展奠定坚实的基础。 获得Certified Professional in Machine Learning for Advertising认证,意味着您具备了在数字广告领域运用机器学习技术的专业素养和技能。

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Why this course?

在当今英国广告市场,机器学习(Machine Learning) 的应用日益广泛,对掌握专业技能的从业人员需求剧增。获得认证机器学习广告专业人员 (Certified Professional in Machine Learning for Advertising) 证书,将显著提升你的竞争力。根据英国广告协会 (假设数据) 的统计,预计到2024年,英国广告行业中使用机器学习技术的公司比例将从目前的60%上升至85%。这直接反映了市场对具备机器学习专业知识的广告人才的迫切需求。

年份 使用机器学习的广告公司比例
2023 60%
2024 (预测) 85%

因此,取得认证对个人职业发展至关重要。这不仅证明你的机器学习技能,更能让你在激烈的竞争中脱颖而出,获得更高薪资和更广阔的职业前景。掌握精准的广告投放数据分析能力,成为具备未来竞争力的广告专业人士

Who should enrol in Certified Professional in Machine Learning for Advertising in Mandarin Chinese?

???? (Ideal Learners) ?? (Characteristics)
??????????? (Marketing Professionals in Advertising) ????????????????????,??????????(??,??,?????)?????????? (Digital marketing professionals looking to boost their campaign performance, seeking to leverage machine learning algorithms (e.g., regression, classification, and clustering) for predictive modeling and optimization.) ??,???,?????? 70% ???????????,???????????????(For example, in the UK, data shows over 70% of advertising spend is shifting to digital channels, making machine learning skills crucial.)
????????? (Data Scientists and Analysts) ??????????????????????,?????????????????????????????, ??????????????????????????????????(Data scientists and analysts looking to specialize in the ad-tech field, wanting to apply their data analysis skills to ad optimization and personalized recommendation systems, and wishing to learn how advanced technologies like predictive analytics, deep learning, and natural language processing are used in advertising.)
????????????? (Professionals with an Interest in Machine Learning) ??????(??????)????????????????,??????????????????(Professionals from other fields (e.g., finance or technology) with an interest in the ad-tech space looking to transition careers by learning machine learning techniques.)