UG Certification in AI-Enhanced Clinical Workflows
This programme is offered by TheSSML in collaboration with the Continuing Technology and Interprofessional Education (CTIPE).
About the Programme
The UG Certification in AI-Enhanced Clinical Workflows is a 24 Months program designed to equip undergraduate students with the knowledge and skills needed to integrate artificial intelligence (AI) into healthcare systems, improving clinical workflows and patient care. The program focuses on the intersection of AI, healthcare, and medical technologies, preparing students to work in clinical settings that utilize advanced AI tools to optimize decision-making, diagnostics, treatment plans, and patient management.
The curriculum covers a broad range of topics, including AI fundamentals, machine learning, and data analytics, with a specific emphasis on applications within clinical workflows. Students will explore AI-driven solutions for medical imaging, patient data analysis, predictive analytics for disease diagnosis, and the automation of routine tasks such as documentation and scheduling.
In addition to technical learning, the program addresses the ethical, legal, and regulatory considerations of implementing AI in healthcare, ensuring that students understand the implications of using AI in clinical environments. Through hands-on projects and real-world case studies, students will gain practical experience in applying AI technologies to improve healthcare delivery and patient outcomes.
By the end of the program, graduates will be well-prepared for roles in healthcare technology, AI in medicine, and clinical data analysis, with the ability to work alongside healthcare professionals to enhance clinical workflows and drive innovation in patient care.
Key Skills Developed
Who is the programme for?
The UG Certification in AI-Enhanced Clinical Workflows is designed for undergraduate students with an interest in healthcare, technology, and artificial intelligence. It is ideal for those pursuing careers in healthcare technology, clinical data analysis, or AI applications in medicine. The program is suitable for students with backgrounds in life sciences, computer science, engineering, or related fields who want to specialize in improving clinical workflows using AI.
Additionally, it is well-suited for individuals looking to bridge the gap between technology and healthcare to contribute to the advancement of patient care and healthcare efficiency.
How will you study?
The UG Certification in AI-Enhanced Clinical Workflows follows a blended learning approach, combining online modules, live sessions, hands-on experience, and industry insights to ensure comprehensive learning. Here’s how you will study:
- Instructor-led Live Sessions: Interactive online classes where you’ll learn the key concepts of AI and machine learning in healthcare, focusing on real-world applications, clinical workflows, and AI technologies.
- Pre-recorded Video Lectures: Self-paced learning modules that allow you to explore topics like data analysis, medical imaging, and AI algorithms at your own pace, enabling you to revisit complex concepts.
- Hands-on Projects: Practical coding exercises and clinical data analysis projects where you will implement AI models and solutions tailored to real-world healthcare scenarios.
- Case Studies: Real-world case studies will help you understand how AI is applied in clinical settings, such as in patient data analysis, predictive healthcare, and automating administrative tasks.
- Collaborative Work: Group assignments and peer collaboration will give you the opportunity to work on healthcare technology projects, improving teamwork and problem-solving skills in an industry setting.
- Capstone Project: A final project that will allow you to integrate everything you’ve learned, applying AI to optimize clinical workflows and demonstrate your expertise in a practical, real-world context.
- 1:1 Mentorship: Guidance and feedback from industry experts, offering career insights and personalized support throughout the course.
This combination of live sessions, self-paced learning, hands-on projects, and mentorship ensures you develop both theoretical knowledge and practical experience in AI-enhanced clinical workflows.
Accreditation and Collaboration at TheSSML
The Standard School of Machine Learning (SSML) is committed to maintaining the highest academic and industry standards, supported by endorsements from globally recognized organizations such as the Machine Learning Accreditation Council (MACUL) and the All India Council for Technical Skill Development (AICTSD). These esteemed accreditations ensure that SSML’s initiatives align with international benchmarks, guaranteeing academic excellence and relevance in the rapidly evolving AI landscape.
In addition to these accreditations, SSML is proud to announce strategic collaborations with several distinguished academic and research institutions, as well as leading organizations across various industries. These partnerships enhance the institution's offerings, providing students with unparalleled access to cutting-edge AI research, development, and industry applications.
Key Collaborations Include:
- Ambaincip School of Business: Renowned for its focus on business innovation and entrepreneurship, Ambaincip contributes to developing AI-powered solutions to address real-world business challenges, helping students apply AI in practical business contexts.
- Narsamma School of Finance and Blockchain: This collaboration focuses on advancing AI applications within the financial sector, with a particular emphasis on blockchain, cryptocurrency, and decentralized finance (DeFi), empowering students to lead financial innovations through AI.
- Monappa School of Quantum Computing: Partnering in the realm of quantum algorithms and quantum machine learning, this collaboration offers students the opportunity to explore the intersection of quantum computing and AI, addressing complex issues that were previously unsolvable.
- Kamber School of Researchers: A research-driven institution at the forefront of pioneering AI research and development, Kamber School offers students the chance to engage in collaborative research projects with leading AI experts.
- BlackwellAi - LaB Innovation: A cutting-edge innovation lab dedicated to AI and machine learning technologies, BlackwellAi fosters the creation of AI solutions across various industries, advancing SSML’s commitment to solving global challenges with AI-driven innovations.
Impact of Collaborations:
This extensive network bridges the gap between academia, research, and industry, fostering a multidisciplinary approach to AI and machine learning development. With expertise in sectors such as finance, blockchain, quantum computing, and business innovation, SSML ensures its students receive a well-rounded education that integrates both theoretical knowledge and practical applications.
The collaborations also guarantee that SSML’s curriculum remains aligned with global standards and frameworks, including Artificial General Intelligence (AGI) and MACUL’s Machine Learning and Computational Learning guidelines, ensuring that students are equipped with the highest academic rigor while staying relevant to the dynamic global AI landscape.
Graduate Outcomes:
Graduates of SSML are equipped with both technical expertise and industry experience to drive innovative AI solutions. The institution’s emphasis on real-world applications and ethical considerations prepares students to make significant contributions to the rapidly evolving AI sector. With globally recognized credentials and world-class learning experiences, SSML graduates are prepared to lead AI innovations in various industries and create transformative impacts.
Location
Hybrid Mode
Duration
24 Months
Intakes
January, April, June & September 2025
Tuition Fees
Rs 45,000/ -
The UG Certification in AI-Enhanced Clinical Workflows is a 24 Months undergraduate program designed to empower students with the skills and knowledge to integrate artificial intelligence into modern healthcare environments. This program focuses on transforming clinical operations by leveraging AI to improve diagnostics, treatment planning, patient data management, and overall workflow efficiency.
The curriculum begins with foundational concepts in AI, machine learning, and healthcare systems, followed by in-depth modules on clinical data analytics, medical imaging, and predictive modeling. Students will also explore how AI can streamline tasks like medical documentation, appointment scheduling, and patient monitoring.
Throughout the program, students engage in hands-on projects, real-world case studies, and collaborative work to gain practical experience in deploying AI solutions within clinical settings. Ethical and regulatory considerations are also emphasized to ensure responsible implementation of AI in healthcare.
By the end of the program, students will be equipped with the tools to enhance healthcare delivery using AI technologies and will be prepared for roles such as clinical data analyst, health tech associate, or AI healthcare coordinator.
Programme Structure and Electives
The UG Certification in AI-Enhanced Clinical Workflows follows a structured, one-year format divided into two semesters. The first semester focuses on foundational learning, covering key concepts such as artificial intelligence, machine learning, healthcare systems, and clinical data management. Students will gain a solid understanding of how AI integrates into healthcare, with emphasis on data preprocessing, basic algorithm design, and the ethical use of AI in clinical environments. The second semester advances into practical applications, including AI in medical imaging, predictive analytics, natural language processing for clinical documentation, and workflow automation. Students will participate in hands-on projects, real-world case studies, and a capstone project to demonstrate their ability to design and implement AI solutions in clinical settings. This structure ensures a balance between theoretical knowledge and industry-relevant skills, preparing students to support the future of AI-driven healthcare.
Core Periods Modules
The UG Certification in AI-Enhanced Clinical Workflows follows a structured, one-year format divided into two semesters. The first semester focuses on foundational learning, covering key concepts such as artificial intelligence, machine learning, healthcare systems, and clinical data management. Students will gain a solid understanding of how AI integrates into healthcare, with emphasis on data preprocessing, basic algorithm design, and the ethical use of AI in clinical environments. The second semester advances into practical applications, including AI in medical imaging, predictive analytics, natural language processing for clinical documentation, and workflow automation. Students will participate in hands-on projects, real-world case studies, and a capstone project to demonstrate their ability to design and implement AI solutions in clinical settings. This structure ensures a balance between theoretical knowledge and industry-relevant skills, preparing students to support the future of AI-driven healthcare.
- Period 0
Introduction to AI in Healthcare
What is Artificial Intelligence? Evolution of AI in Medicine Clinical Workflows Defined Opportunities for AI in Clinical Workflows Ethical Considerations in Healthcare AI Case Studies of AI in Healthcare
- Period 1
Machine Learning for Clinical Decision Support
Basics of Machine Learning Data Preprocessing for Healthcare Predictive Analytics in Clinical Workflows Clinical Decision Support Systems (CDSS) Model Evaluation Metrics Hands-On: Building a Simple Predictive Model
- Period 2
Natural Language Processing in Clinical Documentation
Introduction to NLP Unstructured Data in Healthcare Automating EHR Documentation NLP for Clinical Insights Chatbots and Virtual Assistants Practical NLP Application
- Period 3
AI-Driven Workflow Automation and Optimization
Workflow Automation Concepts AI for Scheduling and Resource Allocation Robotic Process Automation (RPA) AI in Medical Imaging Workflows Integration with Existing Systems Case Study: AI-Optimized Hospital Workflow
- Period 4
Implementing and Evaluating AI in Clinical Practice
AI Implementation Framework Regulatory and Compliance Issues Change Management in Healthcare Evaluating AI Performance Addressing Bias and Fairness Capstone Project
- Period 5
Industry Work Experience (6 Months), 2 Electives
The continuation of the work experience allows participants to deepen their expertise and apply their learning in more complex business scenarios. With additional electives, participants refine their understanding.
Electives
To further tailor your learning, TheSSML offers the following electives as part of the Executive Strategic AI for Business Leaders Programme. These electives will help you specialize in areas that align with your professional interests and career aspirations.
- Profile Building++
- Decision Sciences
- Entrepreneurship & Family Enterprise
- Responsible AI and Ethical Considerations
- AI-Driven Customer Experience
- Emerging AI Technologies and Trends
Your Future Career at TheSSML
Professionals will be equipped with the strategic and technical expertise required to lead AI initiatives across industries. As AI continues to play an increasingly pivotal role in business transformation, participants will be well-positioned for career opportunities in top technology companies, consulting firms, and multinational corporations that are integrating AI into their core operations.
Furthermore, TheSSML provides comprehensive career support, including personalized coaching, exclusive networking opportunities, and access to premium job openings within its global network. Professionals will also be eligible for opportunities with the Ambaincip School of Business, where they can apply their AI expertise to lead and innovate in high-growth, business-driven environments.
Secure Your Job at Ambaincip School of Business After Completing UG Certification in AI-Enhanced Clinical Workflows at TheSSML
Upon successful completion of the Professional Programme at TheSSML, you will gain exclusive access to rewarding career opportunities at Ambaincip School of Business. This collaboration provides professionals with a unique opportunity to apply AI-driven business strategies and leadership skills within a fast-paced, growth-oriented business environment.
Ambaincip School of Business is dedicated to empowering graduates by placing them in influential leadership roles where they can lead AI-driven transformations, shape business strategies, and drive innovation within organizations. With the advanced expertise gained through the program, you will be well-prepared to assume senior roles, manage AI-driven projects, and contribute significantly to the success and growth of leading businesses.
Secure Your Job at Ambaincip School of Business
TheSSML: Your Gateway to Innovation
At TheSSML, we cultivate a culture of curiosity, creativity, and collaboration, empowering individuals to solve complex real-world problems and contribute meaningfully to the advancement of technology. Whether you are a student, professional, or researcher, TheSSML is your gateway to mastering the skills and insights needed to lead in the rapidly evolving world of artificial intelligence and machine learning.
Fees & Admissions
Entry Requirements
Company Experience
- A minimum of 1 years of experience at a company is required, particularly in roles where you have gained exposure to AI or technology-driven projects.
- Experience in driving strategic business initiatives, AI implementations, or related fields is highly valuable.
Academic Qualifications
- A strong honours degree or its equivalent from a recognised institution.
- A compelling personal statement that showcases
- A pronounced interest in business.
- Theambition to explore beyond the confines of their initial degree discipline.
- Anaptitude for working within a multidisciplinary environment
Tuition Fees
National Applicants: Rs 45,000/ -
International Applicants: $ 527.15
We offer a range of savings and funding options. For a full breakdown of all our fees, visit our fees and funding page below.
Our Application Process at TheSSML
At TheSSML, we have simplified the application process to ensure a smooth and efficient entry into our academic community. Our clear, step-by-step application process is designed to help you prepare and submit your application with ease.
For those who might not meet the aforementioned academic criteria for the Executive Programme, consideration will be based on individual merit. Additionally, candidates who do not meet the set academic or language standards may still be eligible for entry upon successful completion of TheSSML Executive Premasters Award.
How to ApplyTop-Tier Education at TheSSML
Double Your Reach
Gain exclusive access to TheSSML's extensive alumni network, alongside global connections, enhancing your professional prospects and career opportunities.
Accredited and Recognized
TheSSML is dedicated to providing high-quality education with internationally recognized certifications, ensuring that you gain a competitive edge in the global job market.
Post-Study Career Opportunities
International students at TheSSML may benefit from career development programs and assistance in securing job placements or internships, offering valuable industry experience after graduation.
Global Partnerships
TheSSML collaborates with leading industry players, including tech giants and global corporations, to provide students with access to cutting-edge technologies, real-world learning experiences, and exciting career prospects.
Learn From the Very Best at TheSSML
At TheSSML, you will be taught by distinguished faculty members who are leaders in their fields. Our professors bring a wealth of experience from renowned global institutions and top-tier companies such as Amazon, the United Nations, IBM, Deloitte, Accenture, and Microsoft. Their extensive industry knowledge and academic expertise will provide you with the insights and practical skills needed to thrive in the dynamic world of machine learning and AI.
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TheSSML Partners with AICTSD And MACUL
At The Standard School of Machine Learning (TheSSML), our programmes are enhanced through prestigious accreditations and partnerships with leading organizations such as MACUL (Michigan Association for Computer Users in Learning) and AICTSD (All India Council for Technical Skill Development). These collaborations ensure our courses meet global industry standards and incorporate cutting-edge advancements in artificial intelligence and machine learning. The partnership with MACUL brings a rigorous framework for curriculum quality and academic excellence, while AICTSD fosters skill development and practical exposure through workshops, certifications, and real-world projects. By aligning with these esteemed bodies, TheSSML guarantees that students receive industry-recognized training, preparing them for leadership roles in a rapidly evolving AI landscape.
TheSSML Alumni Survey
At TheSSML, we are dedicated to equipping our students with the knowledge and skills needed to launch successful careers in the AI and machine learning industries. Our alumni are well-prepared to make a meaningful impact in the professional world, with many securing positions at leading global companies.
Alumni Survey (2022)
91%
of ourgraduates secured employment within six months of graduation
84%
of students received job offers before completing their programme
72%
of our alumni hold managerial or senior positions in prominent organisations
79%
of our graduates earn a competitive salary ranging from ₹8 lakhs to ₹12 lakhs per annum