Who should join this foundation models and agentic AI biology course?

The course is suitable for bioinformatics learners, synthetic biology researchers, computational biology students, AI practitioners, genomics professionals, biotechnology professionals, PhD scholars, academicians, biological data scientists, and life science innovators.

Does the course cover AI agents for biological workflows?

Yes. The course covers AI agent concepts, biological data workflows, genomics task support, foundation model applications, and how agentic AI can assist research planning, analysis, and interpretation in biology.

How are foundation models useful in genomics and synthetic biology?

Foundation models are useful in genomics and synthetic biology because they can analyze biological sequences, identify patterns in complex datasets, support design workflows, assist biological interpretation, and enable data-driven bioengineering applications.

Programming Biology With Foundation Models & Agentic AI

Q: What is the Programming Biology with Foundation Models & Agentic AI course about?

This course focuses on programming biology using foundation models and agentic AI, covering biological data, AI agents, genomics, synthetic biology workflows, and computational methods for life science innovation.

Attribute

Detail

Format

Recorded Lectures (Self-Paced)

Level

Beginner

Duration

6 Weeks

Certification

e-Certification + e-Marksheet

Tools

Python, Jupyter Notebook, Google Colab, Microsoft Excel, Relevant Online Databases

About the Programming Biology With Foundation Models And Agentic Ai Course

Foundation models trained on massive biological datasets—such as protein sequences, DNA/RNA, structural databases, and multi-omics repositories—are transforming bioinformatics and molecular research. Models inspired by large language models (LLMs) can now predict protein structure, annotate genomes, design sequences, and extract biological meaning from complex datasets. These models reduce the need for task-specific training and enable transfer learning across biological domains.

Agentic AI extends this capability by building autonomous systems that can reason, plan, query databases, run code, and iteratively refine results. In this course, participants will learn how to integrate foundation models with Python-based programming, APIs, and tool-using agents to build intelligent biological analysis pipelines. The focus is entirely dry-lab, emphasizing reproducible computational workflows for genomics, proteomics, structure prediction, and systems biology.

Program Highlights

• Comprehensive coverage of Programming Biology with Foundation Models and Agentic AI from fundamentals to advanced applications

• Hands-on projects and real-world case studies in Science & Technology

• Expert-curated curriculum aligned with current industry standards

• Access to recorded lectures and e-LMS platform for flexible, self-paced learning

• e-Certification and e-Marksheet upon successful completion

• Dedicated mentor support and interactive doubt-clearing sessions

• Exposure to industry-standard tools and platforms used in Science & Technology

• Career-oriented training for academic and professional growth in Science & Technology

Course Curriculum

Module 1: Introduction to Programming Biology with Foundation Models and Agentic AI

Overview and historical evolution of Programming Biology with Foundation Models and Agentic AI
Key terminology, definitions, and core concepts in Science & Technology
Current industry landscape, trends, and career opportunities
Setting up the learning environment and essential tools

Module 2: Fundamentals and Theoretical Foundations

Core principles and scientific/theoretical underpinnings of Programming Biology with Foundation Models and Agentic AI
Mathematical and analytical frameworks relevant to Science & Technology
Comparative analysis of major approaches and methodologies
Understanding key standards, guidelines, and best practices

Module 3: Advanced Topics and Emerging Trends in Science & Technology

Cutting-edge research and innovations in Programming Biology with Foundation Models and Agentic AI
Integration with AI, automation, and modern technologies
Industry case studies and real-world problem solving
Future directions and career pathways in Science & Technology

Module 4: Capstone Project and Assessment

End-to-end project implementation using Programming Biology with Foundation Models and Agentic AI skills
Peer review, collaborative exercises, and expert feedback
Portfolio-ready project documentation and presentation
Final assessment and course completion evaluation

Tools, Techniques, or Platforms Covered

Python
Jupyter Notebook
Google Colab
Microsoft Excel
Relevant Online Databases

Real-World Applications

Apply Programming Biology with Foundation Models and Agentic AI skills directly to academic research, thesis work, and publications
Build a professional portfolio showcasing practical Science & Technology competencies
Solve industry-relevant problems using Programming Biology with Foundation Models and Agentic AI methodologies and tools
Contribute to open-source projects and collaborative research in Science & Technology
Prepare for competitive examinations, interviews, and professional certifications in Science & Technology

Who Should Attend & Prerequisites

Students pursuing degrees in Science & Technology, science, engineering, or related disciplines
Working professionals seeking to upskill or transition into Science & Technology roles
Researchers and academicians looking to adopt modern techniques in Science & Technology
Entrepreneurs, freelancers, and self-learners interested in practical Science & Technology knowledge

Prerequisites: No prior experience in Science & Technology is required. Basic computer literacy and a stable internet connection are sufficient. This course is designed to be beginner-friendly.

Frequently Asked Questions

1. What is the format of this Programming Biology with Foundation Models and Agentic AI course?

This is an Recorded Lectures (Self-Paced) course delivered via our e-LMS platform. You will have access to pre-recorded video lectures, reading materials, assignments, quizzes, and hands-on projects that you can complete at your own pace.

2. Will I receive a certificate after completing this course?

Yes! Upon successful completion of all modules, assignments, and assessments, you will receive an e-Certification along with an e-Marksheet from NanoSchool (NSTC) that you can showcase on your CV and LinkedIn profile.

3. What are the prerequisites for this course?

No prior experience is required. This course is designed for beginners and takes you step by step from the basics to advanced topics.

4. How long will I have access to the course materials?

You will have access to all course materials for the duration of 6 Weeks. The self-paced format allows you to learn according to your own schedule through our online learning management system.

5. Is mentor support available during the course?

Yes, dedicated mentor support is available throughout the course. You can reach out for doubt-clearing sessions, project guidance, and career advice related to Science & Technology. Our mentors are industry experts and experienced professionals.

Enroll in Programming Biology with Foundation Models and Agentic AI today and take the next step in your professional journey. With expert-curated content, practical projects, and industry-recognized certification, this course is your gateway to mastering Science & Technology skills that matter.

Brand	NSTC
Format	Recorded Lectures
Duration	6 Weeks
Level	Beginner
Hands-On	Yes – Practical projects with industrial datasets

Achieve Excellence & Enter the Hall of Fame!

Elevate your research to the next level! Get your groundbreaking work considered for publication in prestigious Open Access Journal (worth USD 1,000) and Opportunity to join esteemed Centre of Excellence. Network with industry leaders, access ongoing learning opportunities, and potentially earn a place in our coveted

Hall of Fame.

Achieve excellence and solidify your reputation among the elite!

Programming Biology with Foundation Models and Agentic AI