What You'll Learn
Six core competency areas — from biological databases to drug discovery and career-ready data visualization
Biological Databases & Data Formats
Navigate NCBI, UniProt, and PDB, and work confidently with FASTA, GenBank, and PDB files.
FoundationMolecular Biology & Sequence Alignment
Master the central dogma, gene structure, and sequence alignment with BLAST, ClustalW, and MUSCLE.
Core SkillGenomics & NGS Analysis
Work with genome assembly, Next-Generation Sequencing, variant calling, and genomic annotation.
EssentialProtein Structure & Computational Biology
Predict protein structure with PyMOL and SWISS-MODEL, and apply algorithms for phylogenetic analysis.
In-DemandDrug Discovery & Docking
Use molecular docking and virtual screening to identify and validate real drug targets.
High ImpactData Visualization & Career Prep
Build heatmaps and phylogenetic trees in R/Python, and prepare a job-ready bioinformatics portfolio.
Career ReadyBuilt to Get You Hired in Bioinformatics
A program that combines rigorous theory with hands-on practice — so you graduate with both a portfolio and a certificate.
This Bioinformatics course is built on an industry-aligned curriculum. You'll learn the definition and scope of bioinformatics, biological databases (NCBI, UniProt, PDB), data formats (FASTA, GenBank, PDB), and molecular biology fundamentals including the central dogma and genomics.
From there you'll perform sequence alignment with BLAST, ClustalW, and MUSCLE; use tools like Biopython, R, and Galaxy; analyze genomic and NGS data; explore protein structure and function with PyMOL and SWISS-MODEL; and apply computational biology to drug discovery. The course closes with data visualization and dedicated career preparation.
Course Benefits
Course Curriculum
Four stages, eleven modules, one pipeline to becoming a bioinformatician — click any module to expand
- Definition & scope of bioinformatics
- Role in biology and medicine
- Career opportunities
- NCBI, UniProt & PDB
- Accessing & navigating public databases
- Data formats: FASTA, GenBank, PDB
- DNA, RNA & protein structure basics
- Central dogma of molecular biology
- Intro to genomics & proteomics
- Pairwise & multiple sequence alignment
- BLAST, ClustalW & MUSCLE
- Interpreting alignment results
- Biopython, R & Galaxy
- Command-line & GUI-based tools
- Setting up your bioinformatics workspace
- Genome sequencing & assembly
- Next-Generation Sequencing (NGS)
- Variant calling & annotation
- Protein structure prediction basics
- PyMOL & SWISS-MODEL
- Protein domains & motifs
- Algorithms in bioinformatics
- Phylogenetic analysis
- Machine learning in bioinformatics
- Target identification & validation
- Molecular docking & virtual screening
- Case studies in drug discovery
- Visualization principles for biological data
- R, Python & Tableau
- Heatmaps & phylogenetic trees
- Certifications & degree pathways
- Job roles: bioinformatician, analyst, researcher
- Building a project portfolio
Capstone Project · Dual Certification · Placement Ready
Every stage feeds into a portfolio-ready bioinformatician — backed by 6+ live projects and a performance-based LOR.
Your Dual Certificates
Two industry-recognized credentials awarded on successful completion
Why Choose This Course
Everything you need to go from curious learner to confident bioinformatician
Industry-Aligned Curriculum
A structured path from biological databases all the way to drug discovery.
Hands-On Projects
Work with real databases, alignment tools, and build a bioinformatics project portfolio.
Dual Certification
Course Completion + Internship Certificate — two industry-recognized credentials in one program.
Mentor Support
Get guidance from experts in bioinformatics and computational biology, whenever you're stuck.
Self-Paced Learning
Learn at your own pace with lifetime access to course materials and future updates.
Career Support
Placement assistance and direct access to professionals in pharma and life sciences.
Requirements
- Basic biology or life sciences background recommended
- Interest in data analysis, genomics, or drug discovery
- A computer with a stable internet connection
- Willingness to learn command-line and scripting (Python/R)
Material Includes
- 35+ hours of video lectures
- Lifetime LMS access — revisit anytime
- Section quizzes & assessments
- Industry-based hands-on projects
- Certificate of Completion
- Internship Experience Certificate
Simple, Transparent Pricing
Pick the learning style that suits you best — both include dual certification and placement support