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PROGRAM

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TechMaster Certificate Program in Artificial Intelligence (AI) with Data Science.

Open the door to exciting career opportunities in artificial intelligence. Leverage your tech background to cross-skill into AI, to build your knowledge to an advanced level to be job-ready with AI and data science certifications from IBM and Microsoft.
  • IBM
  • Microsoft

BLENDED

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MENTORED

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ADVANCED

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Duration

6 months

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Fee

$3,000

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With 90% of leading organizations now investing in AI (Grand View Research), building skills in this fast-moving field is a great way way to future-proof your career.

This technology-focused program is ideally suited to tech professionals who are seeking to transition to a career in AI. It is specifically designed to provide you with the in-demand skills, practical understanding, and certifications employers are actively looking for.

As you progress through the modules, the program introduces you to the fundamentals of both AI and data science and then builds your skills and knowledge to an advanced level, so you are ready to work in AI as soon as you graduate.

You gain the in-depth understanding of AI technologies AND the underpinning knowledge of data science that you need for a successful career in AI. You complete hands-on labs, platform-specific projects, and an industry-oriented capstone project. Plus, you get valuable opportunities to earn certifications from our partners, Microsoft and IBM.

By the end of the program, you then have a resume that will catch the eye of a prospective employer.

This 6-month TechMaster Certificate Program comprises 15 artificial intelligence and data science courses that take you on a journey from the fundamentals to an advanced skill level.

Our proven learning methodology blends the best that instructor-led training and self-paced learning have to offer. Leveraging the power of instructor feedback, mentor-supported hands-on practice, and additional home-based studying, you will build the deep technical and practical understanding today’s employers are looking for.

Additionally, you will enjoy learning via an interactive online classroom environment where you will be able to participate and actively engage with your peers, instructors, and mentors. Plus, you will get the opportunity to earn recognized AI and data science certifications which will help your resume and LinkedIn profile stand out.

The materials for each module are accessible from the start of each course and will remain available for the duration of your enrollment. Methods of learning and assessment will include reading material, hands-on labs, and online practice exam questions.

As part of our mentoring service, you will have access to valuable guidance and support throughout the program. We provide a dedicated discussion space where you can ask questions, chat with your peers, and resolve issues. And as part of our career services, you will get guidance on how to boost your profile and prepare for interviews. Further details are below.

You will :

  • Understand how to apply and leverage AI and data science concepts.
  • Be able to write Python scripts with NumPy and Pandas for data analysis.
  • Be able to use Python libraries, say, Matplotlib, and Seaborn for data visualization.
  • Use NumPy and Pandas for data manipulation and Matplotlib and Seaborn for data visualization, enabling effective data analysis.
  • Understand SQL fundamentals and advanced query techniques, including set operations, optimization, and database design principles.
  • Be able to apply advanced SQL concepts such as procedures, triggers, and integrations to develop sophisticated database solutions.
  • Be able to analyze datasets using statistical techniques such as calculating descriptive statistics, creating visualizations for exploratory data analysis, and identifying patterns and trends in data.
  • Be able to solve probability problems to understand and apply different probability distributions.
  • Be able to conduct statistical inference, including hypothesis testing.
  • Be able to apply dimensionality reduction techniques to simplify datasets, while preserving important information and improving model efficiency and performance.
  • Be able to analyze data for feature selection and handle missing data and outliers to enhance model accuracy and interpretability.
  • Be able to use scaling techniques such as min-max scaling to scale features to a similar range, reducing the impact of different scales on model training.
  • Be able to solve regression and classification problems using datasets, and apply techniques such as linear regression, logistic regression, decision trees, and support vector machines.
  • Be able to apply clustering algorithms such as K-means to group similar data points together and use clustering for customer segmentation and pattern recognition.
  • Be able to use principal component analysis (PCA) or t-SNE to reduce the dimensionality of datasets, visualize high-dimensional data in lower dimensions, and improve model performance.
  • Be able to apply Markov decision processes, dynamic programming, Deep Q-Networks, Monte Carlo methods, and temporal difference learning in real-world scenarios.
  • Be able to analyze and evaluate the effectiveness of these methods.
  • Be able to apply neural network architectures such as CNNs and RNNs to solve complex problems.
  • Be able to apply Azure AI services for text and speech processing, image and video analysis, bot development, and cognitive search.
  • Be proficient in AI solution development on Azure through the use of Azure AI services.
  • Demonstrate proficiency in AI solution development on Azure through the use of Azure AI services.
  • Be able to design data ingestion, model training, and deployment solutions in Azure Machine Learning, using workspace resources and developer tools effectively.
  • Be able to apply machine learning concepts, including automated ML, hyperparameter tuning, and model deployment, to develop and deploy models in Azure.
  • Understand generative AI concepts, including Generative Adversarial Networks (GANs), and how they are used to create content.
  • Apply ChatGPT and prompt engineering techniques to generate human-like text and engage with users effectively, demonstrating proficiency in natural language generation.
  • Be able to apply computer vision concepts such as image processing, object detection, and recognition, as well as Convolutional Neural Networks (CNNs) for image analysis.
  • Be able to use text preprocessing techniques, text representation methods, and applications of NLP, to enable the analysis and understanding of textual data.

This program is ideal for working tech professionals and tech-oriented career switchers keen to build a career in AI. Ideal candidates include:

  • Technology students with a keen interest in hands-on AI.
  • Tech enthusiasts seeking to implement AI in their work.
  • IT professionals looking to transition onto an AI career pathway.
  • Software developers seeking to extend their technical skills to include AI.

You will benefit most from this program if you have the following:

  • A technical education or a technical career background
  • Knowledge of/experience in programming languages such as Python and Java
  • Knowledge of/experience in statistics
  • 2+ years of work experience recommended

Once you have successfully completed this TechMaster Certificate Program, you will be awarded a series of globally recognized certificates. These certificates provide validation of your knowledge, job-ready skills, and practical experience, and make a valuable addition to your resume and LinkedIn profile.  Plus, you can gain continuing education credits that confirm your ongoing commitment to developing your knowledge and professional skills.

  • 1 SkillUp Online TechMaster Certificate
  • 3 IBM certifications
  • Skill development and mapping to 2 industry-recognized Microsoft certifications
  • Continuing education credits

This program will prepare you for taking 2 key Microsoft certification exams. These exams must be taken externally through Pearson Vue.

Finely tuned soft skills are critical for success in both professional and personal life.

Research carried out by Wonderlic has shown that 97% of employers believe soft skills affect job performance. Now, professionals with strong human skills are often favored in job applications and interviews. This TechMaster Certificate Program includes targeted sessions from our popular human skills courses. These sessions will improve your communication, leadership, problem solving, and analytical skills, plus they will prepare you for interviews once you’ve completed the program.

Once you have successfully completed this TechMaster Certificate Program, our career guidance service will begin. This will include:

A Tech Skills Assessment & Mock Interview.

  • A technical assessment test to gauge your skills level- this will ensure we provide the career mentoring you need.
  • Pre-employability training
  • Mock HR interviews
  • Mock technical interviews

7-day Finishing School Program.

  • Resume and online profile preparation
  • Further mock HR and technical interviews
  • Interview coaching
  • Individual counselling

Our mentors are specialists in their technical fields. They have the experience and expertise required to understand the challenges you face as you tackle complex technical subject matter.

To support you as you learn, not only will you get real-time feedback from experienced instructors, but also 1-on-1 mentoring assistance that enhances your understanding. Our mentors are on-call to help as you build your practical experience in the hands-on labs. They’ll also be contactable through our popular discussion spaces. Plus, they’ll monitor your progress and provide constructive and timely feedback to ensure you complete the program.

You'll benefit from:

  • - Real-time feedback and support from qualified instructors.
  • 1-to-1 mentoring support for query resolution and guidance.
  • Actively managed discussion space support.
  • Constructive and timely progress monitoring.
  • Regular formative and summative assessments.
  • Industry expert sessions introducing the corporate environment.

Baseline Knowledge Check in Artificial Intelligence (AI) with Data Science

Take our quick quiz and see how your knowledge stacks up. This Artificial Intelligence (AI) with Data Science knowledge check consists of 18 multiple-choice questions.

Once you’ve completed the test and submitted your answers, we’ll email you your result. Sound good? Great, let’s get started.

BaslineKnow

Why Learn with SkillUp Online?

We believe every learner is an individual and every course is an opportunity to build job-ready skills. Through our human-centered approach to learning, we will empower you to fulfil your professional and personal goals and enjoy career success.

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Reskilling into tech? We’ll support you.

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Upskilling for promotion? We’ll help you.

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Cross-skilling for your career? We’ll guide you.

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Personalized Mentoring & Support

1-on-1 mentoring, live classes, webinars, weekly feedback, peer discussion, and much more.

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Practical Experience

Hands-on labs and projects tackling real-world challenges. Great for your resumé and LinkedIn profile.

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Best-in-Class Course Content

Designed by the industry for the industry so you can build job-ready skills.

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Job-Ready Skills Focus

Competency building and global certifications employers are actively looking for.

FAQs

Training is delivered using live and interactive virtual instructor-led sessions conducted by our subject matter experts. Self-paced learning is supported by our Mentoring Team for each of the artificial intelligence and data science courses included in this program.

During the live sessions, learners can post questions to the instructor using the live chat option. Additionally, the training platform has various tools that enable learners to get the attention of a mentor so they can ask a question.

The hands-on practicals are conducted using online virtual labs. All you need is a PC or a laptop with an internet connection. We will provide you with a login ID to access and do the practicals.

Our Mentoring Team is available to answer your queries through live chat or email. If required, the team can solve your queries using remote desktop support.

We post recordings of the live sessions included in the data science and artificial intelligence courses in this program on the Learning Management System (LMS). You will be able to visit the LMS to view recordings if you miss a session. The recordings will be available to help with revision too before your final exam.

The study material and session recordings will be available throughout the duration of the program. You will be able to access them as many times as you want.

Your internet speed should be a minimum of 512Kbps.

To attend the live video streaming sessions, view session recordings, and access learning materials for each of the artificial intelligence and data science course included in this program, you can use your mobile phone. A smartphone that is 4G enabled is required. However, to do the hands-on labs and practicals, you will need a PC/laptop.

The live video streaming sessions use the concept of a virtual classroom in a metaverse environment. Learners attend live sessions with an instructor present and receive training as if they are attending the session in a classroom. The sessions are supplemented by virtual labs and post-session technical support to resolve all queries. E-learning platforms do not provide live training sessions. The content hosted on an E-learning platform is static.

AI and data science specialists are crucial in today’s business environment. Companies in all industries, from eCommerce, to finance, retail, transport, manufacturing, and healthcare are searching for new talent that can compile, analyze, and visualize data to glean powerful insights. To enhance effectiveness and efficiency, AI specialists are responsible for setting up new apps and systems that use AI to make smarter judgments. This, in turn, boosts profit, enhances customer relationships, and reduces costs. Data scientists work collaboratively with business stakeholders to figure out how data can help them accomplish their goals. They create algorithms and prediction models to extract the required data for a given objective and then analyze the data, create meaningful visual reports, and share information.

Program Offering

certificate

Type of certificate

1 SkillUp Online TechMaster Certificate

3 IBM certifications

Skill development and mapping to 2 industry-recognized Microsoft certifications

Continuing education credits

course

About this program

14 Courses

includes

Includes

Discussion space

170+ Hours virtual instructor-led

250+ Hours self-paced

115+ hours hands-on labs

16 Hours human skills

1-on-1 mentoring

04 Projects

01 Final capstone project

Career services

create

Create

Jupyter Notebook using IBM Watson Studio with Python

Analyzing and prediction model

Charts, maps, & dashboards

Future prediction model

Recurrent neural network

Restricted Boltzmann machine

Deep belief network

Virtual machine

Azure account

Function application

LUIS app

Bot QnA maker

Datastores, datasets, & pipelines

Real-time inferencing service

Batch inferencing service

exercises

Exercises to explore

MongoDB - SQL & NoSQL

Python

Visual recognition with IBM Watson

IBM Watson

SQL & database

Exploratory data analysis

Model development, evaluation and refinement

Regression, classification & clustering

Recommender systems

Deep learning

TensorFlow

Azure portal

Visual Studio code

.NET Core SDK

C++ Redistributable

Node.JS

Azure Databricks

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