AI is Reshaping Healthcare – Are You Equipped?

Gain Indispensable AI Mastery for Healthcare in Just 1 Month. Your Professional Future Demands It.

Limited Seats – A few remaining

7 Day Money Back Guarantee

Course Highlights

Covers Everything Healthcare Professionals Should Know of AI
Spend Just 30 Minutes per day, Any Time of the Day
50+ Videos, 30 Hosted Sessions, 4 Live Sessions, 4 Assessment, 1 Project
WhatsApp Group Access with Mentors and Trainers
Learn to Use 50+ AI Medical Tools
Learn to Make Your own AI Medical Tools
Weekly Live Sessions by Industry Leaders
Globally Valid Certification
Lifetime Access to Updated Course Content
Free Access to Premium AI Medical Tools
Career Guidance on AI Created job opportunities
Introduction to Healthcare AI Startup Funding
New Clinician Scholar Annual Membership
Healthcare AI Community Access

Certification by HAIC and The British Institutes

New Clinician has partnered with the Healthcare AI Consortium (HAIC) and The British Institutes to provide a globally valid certification in Healthcare AI. This strategic alliance addresses the critical need for advanced AI literacy among medical professionals worldwide by using an up-to-date AI Curriculum (see below).

Course Fee: ₹29900/-

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For Institutional or Bulk Discounts WhatsApp +919388893555

Course Details

Healthcare AI Mastery – One Month Online Certification Crash Course

This intensive, One month online certification crash course is specifically designed for busy medical professionals like you. We cut through the jargon and deliver focused, practical, and immediately applicable AI knowledge that empowers you to thrive in the new era of healthcare.

This isn’t just theory; it’s about giving you the hands-on mastery you need to lead, innovate, and excel.

What’s Included: Components of the Course

When you enroll in the Healthcare AI Certification Program, you’re not just signing up for a course – you’re gaining a comprehensive ecosystem designed for your success and mastery in AI:

Modular Online Learning: Our expertly structured modules break down complex AI concepts into manageable, digestible units, allowing you to learn at your own pace and revisit topics as needed.
Daily 30 Minutes Learning: Never miss a beat! Access daily recorded sessions, perfect for flexible learning around your demanding clinical schedule. Review, re-learn, and reinforce your understanding anytime, anywhere.
Weekly Expert-Led Live Sessions: Deepen your understanding and get your questions answered in real-time. Engage directly with our subject matter experts who bring practical, real-world experience to the forefront.
Special Sessions by Industry Leaders: Gain invaluable insights from the pioneers and decision-makers shaping the future of AI in healthcare. Learn about emerging trends, challenges, and opportunities directly from the top.
Up-to-Date Course Materials: Our curriculum is constantly updated to reflect the latest advancements, research, and best practices in healthcare AI, ensuring your knowledge is always current and relevant.
New Clinician Scholar Membership: Unlock exclusive resources, advanced content, and ongoing support designed to empower you beyond the course completion. Stay connected and continue your growth journey.
Access to Premium AI Tools: Get hands-on experience! We provide access to selected premium AI tools and platforms, allowing you to apply theoretical knowledge and build practical skills directly.
AI-Oriented Career Guidance: Chart your path in the evolving landscape of healthcare AI. Receive specialized guidance to identify new opportunities, enhance your professional profile, and leverage your AI expertise for career advancement.
Healthcare AI Community Access: Join a vibrant network of like-minded medical professionals and AI enthusiasts. Collaborate, share insights, and build valuable connections within a supportive and innovative community.
Globally Valid Certificate: Upon successful completion, you will receive a prestigious, globally recognized certification, validating your expertise and commitment to mastering AI in healthcare.

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Course Faculty

The course is led by three eminent faculty members handling different aspects of Healthcare AI. In addition there are several industry leaders who appear as guest faculty during the Live Sessions.

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Curriculum of the 1 Month Crash Course

Module 1: Fundamentals of AI

This section lays the essential groundwork, providing medical professionals with a solid understanding of core AI concepts without requiring prior technical expertise.

Section 1: Introduction to Artificial Intelligence for Healthcare

What is AI? Defining AI, Machine Learning, Deep Learning, and their relationship.
Brief history and evolution of AI.
Why AI in healthcare now? The imperative for medical professionals.
Basic AI terminology and concepts (e.g., algorithms, data sets, models).
Ethical considerations: A preliminary look at bias, fairness, and transparency in AI.

Section 2: Data Fundamentals and Preprocessing in Healthcare

Understanding healthcare data: Types (EHR, imaging, genomics, wearables), sources, and challenges.
Importance of data quality and integrity for AI.
Basic concepts of data collection, cleaning, and preparation.
Introduction to structured vs. unstructured data in medical contexts.
Data privacy and security (HIPAA, GDPR, etc.) – foundational principles.

Section 3: Introduction to Machine Learning for Clinical Use

Overview of common Machine Learning types: Supervised, Unsupervised, Reinforcement Learning.
Core ML algorithms relevant to healthcare: Classification, Regression, Clustering.
How ML learns from data: Training, validation, and testing.
Understanding model performance metrics (accuracy, precision, recall, F1-score) in a clinical context.
Simple examples of ML in clinical decision support.

Section 4: Deep Learning and Neural Networks Explained

What is Deep Learning and why is it powerful for healthcare?
Introduction to Neural Networks: Architecture, layers, and how they learn complex patterns.
Convolutional Neural Networks (CNNs) for image analysis.
Recurrent Neural Networks (RNNs) for sequential data (e.g., time series patient data).
Understanding the “black box” problem and the need for explainable AI (XAI).

Module 2: AI Applications in Healthcare

This section delves into the practical, real-world implementations of AI across various domains within healthcare, showcasing its current impact.

Section 5: AI in Diagnostics and Imaging

Leveraging AI for enhanced medical image analysis (Radiology, Pathology, Dermatology).
AI-powered diagnostic assistance tools and their accuracy.
Early disease detection and risk prediction using AI.
Case studies: AI in cancer detection, diabetic retinopathy screening, etc.
Challenges and future of AI in diagnostic workflows.

Section 6: AI in Personalized Medicine and Drug Discovery

AI for genomics and precision medicine: Tailoring treatments to individual patients.
Accelerating drug discovery and development pipelines with AI.
Repurposing existing drugs using AI.
Predicting drug efficacy and potential side effects.
Ethical considerations in AI-driven personalized treatments.

Section 7: AI in Clinical Operations and Patient Management

Optimizing hospital operations: AI for resource allocation, bed management, and staff scheduling.
Predictive analytics for patient readmission risk and no-show rates.
AI-powered virtual assistants and chatbots for patient engagement and support.
Automating administrative tasks and reducing physician burnout.
Enhancing telemedicine and remote patient monitoring with AI.

Section 8: AI for Public Health and Epidemic Preparedness

Using AI for disease surveillance and outbreak prediction.
AI in tracking and modeling infectious disease spread.
Resource allocation and intervention planning during public health crises.
AI for analyzing social determinants of health.
Global health applications and ethical considerations in population-level AI.

Module 3: Agentic AI in Healthcare

This advanced section explores the concept of autonomous or semi-autonomous AI systems, their potential, and the complex considerations for their integration into clinical practice.

Section 9: Introduction to Agentic AI and Intelligent Systems

Defining Agentic AI: Autonomous agents, intelligent systems, and their characteristics.
How Agentic AI differs from traditional ML applications.
Decision-making under uncertainty: Probabilistic reasoning and expert systems.
Concepts of autonomy, adaptivity, and interaction in AI agents.
The role of human-in-the-loop and human-on-the-loop in agentic systems.

Section 10: Agentic AI in Clinical Decision Support and Robotics

Advanced clinical decision support systems: AI agents providing real-time, context-aware recommendations.
Autonomous surgical robots and their evolving capabilities.
Robotics for patient care, rehabilitation, and companionship.
AI agents for personalized treatment plan generation and dynamic adjustment.
Challenges in trust, accountability, and liability for autonomous agents in clinical settings.

Section 11: Future of Agentic AI, Regulatory, and Ethical Frameworks

Emerging trends in Agentic AI: Generative AI for medical content, self-improving agents.
Regulatory pathways and challenges for autonomous medical devices and software as a medical device (SaMD).
Deep dive into ethical frameworks for autonomous AI: Accountability, transparency, bias mitigation, and human oversight.
The societal impact of highly autonomous AI in healthcare.
Preparing for symbiotic human-AI collaboration in medicine.

Section 12: Capstone Project & Roadmap to AI Integration

Applying learned concepts: Case study analysis or conceptual project proposal focusing on an Agentic AI solution in a specific healthcare domain.
Developing a strategic roadmap for AI integration within a healthcare organization.
Best practices for evaluating, implementing, and monitoring AI systems.
Continuous learning in AI: Resources and strategies for staying current.
Course review, Q&A, and preparation for certification.

Limited Time 66% Discount. Don’t Let the Future Pass You By.

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What Our Past Students Say

Dr. Priya Sharma, General Physician, Mumbai:

“As a GP, I knew AI was changing medicine, but the sheer volume of information was overwhelming. This ‘Healthcare AI Mastery’ course from New Clinician and The British Institutes was a game-changer! In just one month, I’ve gained a practical understanding of how AI truly applies to diagnostics and patient management. The daily recorded sessions were perfect for my busy schedule, and the live expert sessions cleared all my doubts. I feel so much more confident discussing AI tools and their implications with specialists, and I’m already looking for ways to integrate AI ethically into my practice. Highly recommend for any doctor feeling left behind by technology.”

Dr. Rajesh Kumar, Orthopedic Surgeon, Delhi

“The ‘Agentic AI in Healthcare’ section of this course was truly eye-opening. As a surgeon, I’m always looking for precision and efficiency, and understanding how autonomous AI agents can assist in complex procedures and decision-making has given me a new perspective on surgical innovation. The course material was incredibly up-to-date, and the industry leader sessions provided invaluable insights into the future of healthcare. This certification isn’t just a piece of paper; it’s given me a tangible skill set that I believe will be crucial for the next decade of medical practice. A fantastic investment in my professional future.”

Ms. Ananya Singh, Head Nurse, Bengaluru

“Initially, I wondered if an AI course was truly for nurses, but the ‘Healthcare AI Mastery’ program proved invaluable. It clearly showed how AI impacts nursing workflows, patient monitoring, and even administrative tasks. The ‘Fundamentals of AI’ were explained in a way that was easy to grasp for non-tech professionals. Now, I can better understand and utilize the AI tools being introduced in our hospital, and I feel empowered to contribute to discussions about technology integration. The globally valid certificate is a huge bonus. Every healthcare professional, especially nurses, should consider this course to stay relevant.”

Ready to Master AI and Secure Your Place at the Forefront of Medicine?

The transformation is happening now. Every day you delay, the gap between AI-proficient professionals and others widens. This is your urgent opportunity to turn a potential disadvantage into your greatest asset.

Enroll in the Healthcare AI Mastery – 1 Month Online Certification Crash Course Today!