100 Days Coding Program: Python Data Science & Advanced AI Machine Learning

Launch Your Career with the Data Science, AI & Machine Learning Program

Data and Artificial Intelligence are driving the next wave of global innovation. Whether you want to step into data analytics, build predictive machine learning models, engineer autonomous AI agents, or architect end-to-end MLOps pipelines, the Data Science, AI & Machine Learning Program by TransEduverse provides an immersive, career-focused learning path built for the modern tech landscape.

This isn’t a passive self-paced video library. You get daily live interactive sessions, active mentorship, hands-on production challenges, and native integration with modern AI tools to ensure you become a job-ready engineer.

This isn’t just another passive video course. You get daily live interactive sessions, active mentorship, real-world backend architectural challenges, and hands-on AI tool integration to ensure you become a production-ready engineer.

🌟 Key Highlights & Benefits

• Daily Live Interactive Sessions: 90 minutes of live, instructor-led training every weekday (Monday–Friday).

• Modern AI-Driven Stack: Master cutting-edge AI developer tools (GitHub Copilot, Vanna.ai, PandasAI, LangSmith, Unsloth) alongside core engineering principles.

• Production-Grade Infrastructure: Learn complete end-to-end deployment—from SQL optimization and data visualization to vector databases, autonomous agents, and MLOps containerization.

• Guaranteed Internship Pathway: Secure an internship opportunity for up to 6 months post-training to gain authentic industry resume experience.

🎓 Who Should Enroll?

This program is tailored for driven individuals looking to build a scalable career in Data & AI:

• College Students: Gain a competitive edge early, master production tools, and build a standout portfolio for campus placements.

• Recent Graduates: Bridge the gap between academic theory and actual tech industry demands with real-world capstone projects.

• Working Professionals: Switch to high-paying data roles or upskill into advanced AI/ML architectures without interrupting your current career.

📅 Program Structure & Timeline

Phase 1: Core Data Science & Analytics Foundation(100 Days)

• • Frequency: Monday to Friday (90 Mins Daily)

  • Focus: Python foundations, DSA, relational SQL databases, data wrangling, visualization, business statistics, machine learning, deep learning, GenAI, MLOps, and capstone deployment.

Phase 2: Advanced AI & Machine Learning Specialization(50 Days)

• • Focus: Vision AI, Edge Computing, Audio Processing, Enterprise LLM Fine-Tuning, Multi-Agent Orchestration, Guardrails, and Distributed Big Data Streaming AI.

Phase 3: Live Industry Project (1 Month)

• • Focus: Build end-to-end data engineering solutions solving actual industrial problems.

Phase 4: Industry Internship (Up to 6 Months)

• • Focus: Gain authentic work experience, build production features under expert mentorship, and prepare for rigorous technical interviews.

💼 Career & Internship Opportunities

Building models in a notebook is only the first step—deploying, scaling, and monitoring them in production environments is what gets you hired. After completing the training and capstone projects, eligible candidates get access to an internship opportunity for up to 6 months.

This real-world experience equips you with:

1. Targeted Industry Roles: Qualify for job titles like Data Scientist, Machine Learning Engineer, Data Analyst, BI Developer, MLOps Specialist, and AI Agent Architect.

2. Production-Ready Resume: Showcase live, deployed applications built using industry-standard tools (PyTorch, LangChain, Docker, Airflow, PySpark).

3. Career Readiness: ATS-optimized resume tailoring, live system design whiteboarding drills, and mock technical interview sessions.