Career Transition Programs in Data Analytics & AI

Structured, mentor-led training for professionals seeking to transition into data-driven and AI-focused roles.

Request Program Details

Who This Is For

Working professionals looking to switch careers

Engineers transitioning to data or AI roles

Researchers and graduate students

Professionals returning to the workforce

Program Tracks

Choose the track that aligns with your career goals and experience level

Data Analytics Foundations
Master the fundamentals of data analysis with Python, SQL, and modern visualization tools

Target Audience

Professionals new to data analytics or seeking structured training

Duration

12 weeks

Format

Online / Mentor-led

Key Topics

  • •Python programming for data analysis
  • •SQL and database fundamentals
  • •Data visualization with Tableau/Power BI
  • •Statistical analysis and reporting
  • •Working with real-world datasets
Request Details
Applied Machine Learning
Build practical ML skills with supervised and unsupervised learning techniques

Target Audience

Data professionals and engineers transitioning to ML roles

Duration

16 weeks

Format

Online / Mentor-led

Key Topics

  • •Supervised & unsupervised learning
  • •Feature engineering and selection
  • •Model evaluation and validation
  • •ML pipelines and deployment concepts
  • •Hands-on projects with scikit-learn
Request Details
AI for Domain Professionals
Apply AI solutions in healthcare, finance, engineering, and other specialized domains

Target Audience

Domain experts looking to integrate AI into their field

Duration

14 weeks

Format

Online / Mentor-led

Key Topics

  • •AI applications in healthcare, finance, and engineering
  • •Responsible and explainable AI
  • •Domain-specific case studies
  • •Ethics and bias in AI systems
  • •AI integration strategies
Request Details
Research & Advanced Topics
Deep dive into cutting-edge AI research including deep learning, NLP, and time-series analysis

Target Audience

Researchers, graduate students, and advanced practitioners

Duration

18 weeks

Format

Online / Mentor-led

Key Topics

  • •Deep learning architectures
  • •Natural Language Processing
  • •Time-series forecasting
  • •Computer vision fundamentals
  • •Research paper implementation
Request Details

How the Program Works

Flexible Schedule

Part-time format designed for working professionals

Live Sessions

Interactive sessions with guided hands-on projects

Mentorship

One-on-one mentorship and career guidance

Portfolio Outcomes

Build real-world projects for your portfolio

Request Program Details

Fill out the form below and our team will contact you via email with detailed information about our programs.

Our Enrollment Process

We don't accept direct payments on our website. Once you submit your interest, our team will contact you via email at ceo@seventhsenselab.com to discuss program details, pricing, and enrollment options tailored to your needs.