Masterclass Certificate in Disruptive Technologies Deep Dive for Leaders
-- ViewingNowThe Masterclass Certificate in Disruptive Technologies Deep Dive for Leaders is a comprehensive course designed to empower aspiring and current leaders with the knowledge and skills necessary to navigate the rapidly evolving technological landscape. This certification program focuses on industry-disrupting technologies such as Artificial Intelligence, Machine Learning, Internet of Things, Blockchain, and Augmented Reality, among others.
5,988+
Students enrolled
GBP £ 149
GBP £ 215
Save 44% with our special offer
ě´ ęłźě ě ëí´
100% ě¨ëźě¸
ě´ëěë íěľ
ęłľě ę°ëĽí ě¸ěŚě
LinkedIn íëĄíě ěśę°
ěëŁęšě§ 2ę°ě
죟 2-3ěę°
ě¸ě ë ěě
ë기 ę¸°ę° ěě
ęłźě ě¸ëśěŹí
⢠Unit 1: Introduction to Disruptive Technologies
⢠Unit 2: Artificial Intelligence and Machine Learning
⢠Unit 3: Internet of Things (IoT) and Edge Computing
⢠Unit 4: Blockchain and Distributed Ledger Technologies
⢠Unit 5: Augmented Reality, Virtual Reality, and Mixed Reality
⢠Unit 6: 5G and Advanced Telecommunications
⢠Unit 7: Quantum Computing and Cryptography
⢠Unit 8: Biotechnology and Genomic Engineering
⢠Unit 9: Autonomous Vehicles and Robotics
⢠Unit 10: Implementing and Leading Disruptive Technology Initiatives
ę˛˝ë Ľ 경ëĄ
- AI Engineer: With 12% of the job market share, AI Engineers are in high demand, working on integrating artificial intelligence into various products and services.
- Data Scientist: Claiming 20% of the job market, Data Scientists analyze and interpret complex digital data, assisting businesses in making informed decisions.
- Cloud Architect: Cloud Architects, accounting for 15% of the job market, design and manage an organization's cloud computing strategy, infrastructure, and services.
- Machine Learning Engineer: At 18%, Machine Learning Engineers create and maintain machine learning systems that automate decision-making processes based on data patterns.
- Full Stack Developer: The most common tech role, Full Stack Developers, make up 35% of the job market, handling both front-end and back-end development tasks.
- AI Engineer: ÂŁ45,000 - ÂŁ95,000 (Python, TensorFlow, machine learning, computer vision, and natural language processing)
- Data Scientist: ÂŁ30,000 - ÂŁ80,000 (Python, R, SQL, machine learning, and statistical analysis)
- Cloud Architect: ÂŁ50,000 - ÂŁ120,000 (AWS, Azure, Google Cloud, Kubernetes, and Docker)
- Machine Learning Engineer: ÂŁ40,000 - ÂŁ100,000 (Python, TensorFlow, PyTorch, scikit-learn, and big data frameworks)
- Full Stack Developer: ÂŁ25,000 - ÂŁ75,000 (JavaScript, HTML, CSS, Node.js, React, Angular, and MERN/MEAN stack)
ě í ěęą´
- 죟ě ě ëí 기본 ě´í´
- ěě´ ě¸ě´ ëĽěë
- ěť´í¨í° ë° ě¸í°ëˇ ě ꡟ
- 기본 ěť´í¨í° 기ě
- ęłźě ěëŁě ëí íě
ěŹě ęłľě ěę˛Šě´ íěíě§ ěěľëë¤. ě ꡟěąě ěí´ ě¤ęłë ęłźě .
ęłźě ěí
ě´ ęłźě ě ę˛˝ë Ľ ę°ë°ě ěí ě¤ěŠě ě¸ ě§ěęłź 기ě ě ě ęłľíŠëë¤. ꡸ę˛ě:
- ě¸ě ë°ě 기ę´ě ěí´ ě¸ěŚëě§ ěě
- ęśíě´ ěë 기ę´ě ěí´ ęˇě ëě§ ěě
- ęłľě ě겊ě ëł´ěě
ęłźě ě ěąęłľě ěźëĄ ěëŁí늴 ěëŁ ě¸ěŚě뼟 ë°ę˛ ëŠëë¤.
ě ěŹëë¤ě´ ę˛˝ë Ľě ěí´ ě°ëŚŹëĽź ě ííëę°
댏롰 ëĄëŠ ě¤...
ě죟 돝ë ě§ëŹ¸
ě˝ě¤ ěę°ëŁ
- 죟 3-4ěę°
- 쥰기 ě¸ěŚě ë°°ěĄ
- ę°ë°Ší ëąëĄ - ě¸ě ë ě§ ěě
- 죟 2-3ěę°
- ě 기 ě¸ěŚě ë°°ěĄ
- ę°ë°Ší ëąëĄ - ě¸ě ë ě§ ěě
- ě 체 ě˝ě¤ ě ꡟ
- ëě§í¸ ě¸ěŚě
- ě˝ě¤ ěëŁ
ęłźě ě ëł´ ë°ę¸°
íěŹëĄ ě§ëś
ě´ ęłźě ě ëšěŠě ě§ëśí기 ěí´ íěŹëĽź ěí ě˛ęľŹě뼟 ěě˛íě¸ě.
ě˛ęľŹěëĄ ę˛°ě ę˛˝ë Ľ ě¸ěŚě íë
