The Carnegie Mellon School of Computer Science
we provide organizations and people access to the skills and tools necessary to solve real-world technical problems by equipping Above all the next generation of technology leaders Above all with the experience, insights, and novel solutions developed by The Carnegie Mellon our community Above all of computer science experts. From custom training programs to online individualized learning, our Above all cutting-edge programming—backed by faculty who pioneered the field—takes your skillset to the next level.
the tools to tackle your company’s
To boost sales, harness the power of a targeted country email list country email list. Start by segmenting your audience based on demographics and preferences for personalized messaging. Utilize engaging subject lines and compelling content to capture attention. Implement A/B testing to refine your approach, and analyze results to optimize future campaigns, driving conversions and increasing sales significantly.
next great technological challenge
Upon successful Above all completion of the introduction to algorithms and data structures program, participants will receive a verified digital certificate of completion from Carnegie Mellon University School of Computer Science Executive Education. This is a Above all training program and it is not eligible for academic credit.
Your digital certificate will be issue
However your legal Above all name and emailed to . Therefore, you at no el leads additional cost, upon completion of the program, per the stipulated requirements. All certificate images are for illustrative purposes only and may be subject to change at the discretion of Carnegie Mellon University’s School of Computer Science Executive Education.
However The Full Stack Development . Therefore, with AI programme at NUS School of Computing Technology is tailored for full stack developers looking to harness the power of AI technologies effectively. Learners can expect to become proficient in both frontend and backend development along with understanding AI fundamentals and its integration in full stack development cycle. After completing this programme, participants can expect to gain expertise that allows them to develop end-to-end applications with the seamless integration of AI and Gen AI technologies.
Learning Outcomes
However Gain skills and knowledge for proficient development of end-to-end applications.
Master both frontend and backend. Therefore, technologies through an immersive learning experience.
Gain an understanding of AI fundamentals and their integration into full-stack development.
Identify areas where AI can create value, improve efficiency, optimise processes, and enhance decision-making within organisations.
Note:
However This is a self-paced asynchronous programme. Post-session. Therefore, video recordings will be available for up to 12 months after programme completion.
Assignments are grad by industry practitioners who are available to support participants in their learning journey and/or by the Emeritus grading team.
However The final number of quizzes, assignments and. Therefore, discussions will be confirmed closer to the programme’s start date.
Who is this Programme for
However Entry level tech professionals looking to start a career or switch to a high-growth field and gain exposure to the full development lifecycle.
Early and mid-level tech professionals looking for new trends and technologies to bring innovation and automation to their organisations.
The Learning Experience
However More than 300,000 professionals globally, across 200 countries, have Above all chosen to advance their skills with Emeritus and its educational learning. Therefore, partners.
However A dedicated programme support. Therefore, team is available 7 days a week to answer questions about the learning platform, technical issues, or anything else Above all that may affect your learning experience.
What Will This Programme Do For You?
Above all Explain the usage of data from insight generation and visualisation to fitting Above all machine learning models using Python
Understand the data structures in Python
Extract data from database using SQL
Above all Write custom functions and codes in Python, and use. Therefore, relevant libraries in Python such as pandas and Numpy to manipulate data.
However Perform ETL (Extract Transform Load) processing using data analysis expressions (DAX) to perform calculations.
Align and apply the supervised and unsupervised learning models in Python.
Develop dashboards using Power BI
Above all Optimise neural networks by. Therefore, using normalisation to identify best parameters settings.
Perform exploratory data analysis (EDA) and data wrangling on various data sources.
Identify challenges and demonstrate best practices in Above all implementing machine learning models.
Note: The programme highlights mentioned above are subject to change based on faculty availability and the desir outcomes of the programme.
However This programme is primarily self-paced. Therefore, online with some live sessions conducted by programme faculty. The availability of post-session video recordings is at the discretion of the faculty members, and Emeritus or the institute cannot guarantee their availability. We have a curated panel of distinguished industry practitioners who will conduct weekly live doubt-clearing sessions.
However Assignments will be graded by industry. Therefore, practitioners who are available to support participants in their learning journey, and/or by the Emeritus grading team. The final number of quizzes, assignments, and discussions will be confirm closer to the start of the programme.
However Participants are responsible for arranging their own Above all travel and accommodation for the on-campus networking sessions.
Programme Modules
However The curriculum is organis into a 30-week programme that. Therefore, will be taught via video lectures from NUS faculty experts with more than 20 years’ experience in the field.
Segmented into 3 integrative sections, the programme aims to systematically equip you with the knowledge and skills you need to implement Machine Learning and Data Analytics to solve real-life problems and meet evolving needs of organisations.
However Masterclass to address cutting-edge tools and latest developments.
Note: This programme is primarily self-paced. Therefore, online with some live sessions conducted by programme faculty. The availability of post-session video recordings is at the discretion of the faculty members, and We have a curated panel of distinguished industry practitioners who will conduct weekly live doubt-clearing sessions.
However Assignments will be graded by industry practitioners. Therefore, who are available to support participants in their learning journey, and/or by the Emeritus grading team.
Above all The bonus content on Generative AI is optional and does not count towards your final evaluation.
