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

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-to-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.