ADVANCED AI TECHNIQUES IN GENOMICS
Course 6402
5 Days
$2,400
This course dives into the fascinating intersection of artificial intelligence and genomics, exploring how advanced AI techniques can unlock new insights into genetic data. You’ll learn about the tools and methods used to analyze complex genomic datasets, paving the way for breakthroughs in personalized medicine and disease research.
Who Should Take This Course?
This course is designed for healthcare professionals, data scientists, and researchers interested in applying AI to genomics. If you’re curious about how AI can transform genetic research and improve healthcare outcomes, this course is for you.
Course Format:
Lectures, facilitator presentations, guided discussions, practical hands-on exercises (both individual and large-group), collaborative discussions, and action planning.
Payment Information: We accept credit card payments. To register using a purchase order (without a surcharge), please send the purchase order to [email protected]
Learning Objectives
- Understand the principles and applications of AI in genomics.
- Learn to preprocess and analyze genomic data using AI tools.
- Explore advanced AI techniques for genomic research and discovery.
- Gain hands-on experience in building AI models for genomic datasets.
- Develop skills to interpret and communicate findings from AI-driven genomic analyses.
Course Topics
Introduction to AI in Genomics
- Overview of AI applications in genetic research
- The role of AI in personalized medicine
Genomic Data Analysis
- Types of genomic data: sequencing, expression, and variants
- Techniques for preprocessing and managing large datasets
Machine Learning in Genomics
- Supervised and unsupervised learning for genomic data
- Applications of clustering and classification in genetics
Deep Learning for Genomic Insights
- Using neural networks to analyze genomic sequences
- Case studies of deep learning in gene expression analysis
AI Tools and Frameworks
- Overview of tools like TensorFlow and PyTorch for genomic analysis
- Implementing AI models using popular genomic libraries
Ethics and Challenges in Genomic AI
- Privacy and security concerns with genetic data
- Ethical considerations in AI-driven genomics
Real-World Applications and Case Studies
- AI in disease prediction and drug discovery
- Success stories and challenges in implementing AI in genomics
Prerequisites
To make the most out of this course, you should have:
Class Schedule
We accept credit card payments. To register using a purchase order (without a surcharge), please send the purchase order to [email protected]
August 26 - August 30, 2024
9:00 AM – 5:00 PM EST
Advanced AI - Genomics
Virtual, EST
$2,400
Class ID: 6402
September 16 - September 20, 2024
9:00 AM – 5:00 PM EST
Advanced AI - Genomics
Virtual, EST
$2,200 (Limited time Offer)
Class ID: 6402
October 14 - October 18, 2024
9:00 AM – 5:00 PM EST
Advanced AI - Genomics
Virtual, EST
$2,400
Class ID: 6402
November 11 - November 15, 2024
9:00 AM – 5:00 PM EST
Advanced AI - Genomics
Virtual, EST
$2,200 (Limited time Offer)
Class ID: 6402
January 27 - January 31, 2025
9:00 AM – 5:00 PM EST
Advanced AI - Genomics
Virtual, EST
$2,400
Class ID: 6402
February 3 - February 7, 2025
9:00 AM – 5:00 PM EST
Advanced AI - Genomics
Virtual, EST
$2,400
Class ID: 6402
March 17 - March 21, 2025
9:00 AM – 5:00 PM EST
Advanced AI - Genomics
Virtual, EST
$2,400
Class ID: 6402
