The fields of AI and data science are exploding. Organizations of all sizes are hunting for professionals with strong human skills and technical competency in statistical analysis, automation, machine learning, deep learning, big data, and data visualization. In fact, research has shown that nearly half of businesses are recruiting for data and analytics roles, alone1. However, there is a problem. Nearly half of those have struggled to fill their vacancies. This is a tough challenge for industry, but a great opportunity for professionals with the right tech and human skills.
This 11-month TechMaster Certificate Program provides data science and AI certifications that open the door to exciting opportunities in these fast-moving fields. The curriculum is designed to give you the industry-specific technical skills, critical soft skills, and platform-specific certifications employers are looking for.
As you work through the program, your knowledge will build from a fundamental base to the advanced level of understanding employers need. You will also have the opportunity to earn data science and AI certifications from our industry partners, IBM and Microsoft. And you will complete a valuable progressive capstone project that will evidence the practical skills you have learned. Most significantly, however, you will build job-ready technical and human skills you can use straight away for a rewarding career.
This technology-focused program is ideally suited to students and professionals who have not yet studied AI and data science but are interested in developing a career in these fields. The program will build your skills and knowledge to the advanced level you need to be ready to work as soon as you graduate.
1 Source: Marketingtechnews.net
This 11-month TechMaster Certificate Program comprises 15 purposely designed courses that take you on a journey from fundamentals to advanced learning.
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, through our innovative approach, you will enjoy learning via the cutting-edge technology of the Metaverse. The realistic classroom environment and interactive capabilities will enable you to participate and actively engage with your peers, instructors, and mentors as you learn.
However, we do understand that learners need flexibility. Whether you’re doing a degree, working full time, or managing a busy family, building skills for a new job is only achievable with online training that fits in with your schedule. To help, we offer training in batches that suit different lifestyles.
This includes:
You will able to:
No experience is required. This TechMaster Certificate Program is specifically designed for individuals who are interested in tech and want to develop a career in AI and data science. You do not need to have a computer science degree to enroll. Instead, this program will provide you with the advanced-level competencies, certifications, and practical experience employers are looking for. If you have strong analytical skills, and enjoy critical thinking and working in a team, this program will get you ready for your first role as soon as you graduate.
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 resumé and LinkedIn profile.
This program will prepare you for taking 4 key Microsoft certification exams. These exams must be taken externally through Pearson Vue. We will provide you with vouchers for the exams.
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:
FOR ALL LEARNERS
A tech skills assessment & mock interview.
7-day Finishing School Program.
FOR LEARNERS IN INDIA
Career mentoring for accelerated personal and professional growth.
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:
Dive into the fundamentals of AI. Immerse yourself in the basic principles of data structure and data visualization. Develop a practical understanding of Python as an AI tool.
Topic Covered:
Introduction to artificial intelligence
Database concepts
AI programming fundamentals: Python
AI statistics - Python
Data visualization with Python
You can choose to enroll for this individual course. Click here to see course details.
Discover the world of data science, its applications and use cases. Explore key data science concepts including big data, data mining, machine learning, and deep learning.
Topic Covered:
Defining data science
What data scientists do
Big data and data mining
Deep learning and machine learning
Data science in business
Careers and recruiting in data science
You can choose to enroll for this individual course. Click here to see course details.
Build your knowledge of the fundamentals of Python. Solve real-world problems in Python through hands-on exercises.
Topic Covered:
Python basics
Python data structures
Python programming fundamentals
Working with data in Python
Working with NumPy arrays.
You can choose to enroll for this individual course. Click here to see course details.
Gain practical, hands-on experience working with SQL in a data science environment. Use Jupyter Notebooks to perform SQL access to relational databases.
Topic Covered:
Introduction to databases and basic SQL
Basic SQL
String patterns, ranges, sorting, and grouping
Functions, sub-queries, multiple tables
Accessing databases using Python
You can choose to enroll for this individual course. Click here to see course details.
Learn how to analyze data using Python. Discover how to prepare data for analysis, perform simple statistical analyses, create meaningful data visualizations, and predict future trends from data.
Topic Covered:
Importing datasets
Data wrangling
Exploratory data analysis
Model development
Model evaluation
You can choose to enroll for this individual course. Click here to see course details.
Learn how to present data using key libraries in Python. Explore pie charts, waffle charts, scatter plots, and bubble plots, and discover how to visualize geospatial data. Plus, get free access to IBM Watson Studio.
Topic Covered:
Introduction to visualization tools
Basic visualization tools
Specialized visualization tools
Advanced visualization tools
Creating maps and visualizing geospatial data
Creating dashboards with Plotly and Dash
You can choose to enroll for this individual course. Click here to see course details.
Learn the fundamentals of machine learning using Python. Discover how to uncover hidden insights, predict future trends, and create prototypes.
Topic Covered:
Introduction to machine learning
Regression
Classification
Clustering
Recommender systems
You can choose to enroll for this individual course. Click here to see course details.
Discover what deep learning is and how it is used. Explore the concept of neural networks and learn about MapReduce, Hadoop, and YARN.
Topic Covered:
Introduction to deep learning
Deep learning models
Deep learning platforms and libraries
You can choose to enroll for this individual course. Click here to see course details.
Build skills and get hands-on experience using TensorFlow. Explore its main functions and operations, and investigate different types of deep architecture, including convolutional networks, recurrent networks, and autoencoders.
Topic Covered:
Introduction to TensorFlow
Convolutional networks
Recurrent neural networks
Unsupervised learning
Autoencoders
You can choose to enroll for this individual course. Click here to see course details.
Explore key concepts in Azure, including cloud concepts, core Azure services, and Azure management and governance features and tools.
Topic Covered:
Cloud concepts
Core Azure services
Core solutions
General security and networking features
Identity, governance, privacy, and compliance
Azure pricing and lifecycle
You can choose to enroll for this individual course. Click here to see course details.
Explore key concepts in Azure AI, including computer vision, natural language processing, and knowledge mining. Learn about Azure Cognitive Services, Microsoft Bot Framework, and conversational AI solutions.
Topic Covered:
Introduction to AI on Azure
Developing AI apps with Cognitive Services
Getting started with natural language processing
Building speech-enabled applications
Creating language understanding solutions
Building a QnA solution
Conversational AI and the Azure Bot Service
Getting started with computer vision
Developing custom vision solutions
Detecting, analyzing, and recognizing faces
Reading text in images and documents
Creating a knowledge mining solution
You can choose to enroll for this individual course. Click here to see course details.
Learn how to operate machine learning solutions at cloud scale using Azure Machine Learning. Leverage your existing knowledge of Python for machine learning in Microsoft Azure.
Topic Covered:
Getting started with Azure Machine Learning
Visual tools for machine learning
Running experiments and training models
Working with data
Working with compute
Orchestrating operations with pipelines
Deploying and consuming models
Training optimal models
Responsible machine learning
Monitoring models
You can choose to enroll for this individual course. Click here to see course details.
Learn how to use Azure Databricks to explore, prepare, and model data. Build the valuable skills required to integrate Databricks machine learning processes with Azure Machine Learning.
Topic Covered:
Introduction to Azure Databricks
Training and evaluating machine learning models
Managing experiments and models
Integrating Azure Databricks and Azure Machine Learning
You can choose to enroll for this individual course. Click here to see course details.
Improve your communication, leadership, problem solving, and analytical skills, plus prepare for interviews once youve completed this program.
Topic Covered:
Interview preparation
Resum writing
Personal grooming
Expectation management
You can choose to enroll for this individual course. Click here to see course details.
Complete a capstone project that will showcase your new skills and knowledge through practical application. This project presents you with a real-world challenge. Once you've successfully completed the project, will be able to evidence your understanding of the subject matter in interviews and on your resume.
Topic Covered:
04 Projects
01 Final capstone project
You can choose to enroll for this individual course. Click here to see course details.
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.
1-on-1 mentoring, live classes, webinars, weekly feedback, peer discussion, and much more.
Hands-on labs and projects tackling real-world challenges. Great for your resumé and LinkedIn profile.
Designed by the industry for the industry so you can build job-ready skills.
Competency building and global certifications employers are actively looking for.
1 x SkillUp Online TechMaster Certificate
8 x IBM Certificates
1 x FutureSkills Prime Certificate
Mapping to 4 x Microsoft Certifications
15 Courses
Discussion space
177 Hours virtual instructor-led
250 Hours self-paced
119 hours hands-on labs
16 Hours human skills
1-on-1 mentoring
04 Projects
01 Final capstone project
Career services
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
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
This course is led by experienced Microsoft Certified Trainers (MCTs).
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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 vizualize 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.
1 x SkillUp Online TechMaster Certificate
8 x IBM Certificates
1 x FutureSkills Prime Certificate
Mapping to 4 x Microsoft Certifications
15 Courses
Discussion space
177 Hours virtual instructor-led
250 Hours self-paced
119 hours hands-on labs
16 Hours human skills
1-on-1 mentoring
04 Projects
01 Final capstone project
Career services
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
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
This course is led by experienced Microsoft Certified Trainers (MCTs).
Subscribe to get the latest tech career trends, guidance, and tips in your inbox.