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

Launch Your AI Career with the Leading Data Science and Machine Learning Course Kochi, Kerala Offers

Artificial Intelligence, Deep Learning, and Generative AI are transforming industries across Kerala’s expanding technology hubs in Infopark, SmartCity, and Technopark. If you are searching for an advanced data science and machine learning course kochi candidates can count on for real-world production engineering skills, the Gen AI based 100 Days Coding Program by TransEduverse offers an immersive, industry-aligned learning path.

Unlike traditional theoretical training or passive video libraries, this daily live program integrates next-generation AI tools (such as GitHub Copilot, Vanna.ai, LangSmith, and Unsloth) directly into your workspace. You won’t just learn basic algorithms—you will learn to build, fine-tune, deploy, and monitor scalable Machine Learning models, Autonomous AI Agents, RAG architectures, and MLOps pipelines. Explore our complementary web engineering tracks like the Python Full Stack Developer Course Kochi or view our full Course Directory.

🌟 Key Highlights & Program Benefits

• Daily Live Interactive Labs: 90 minutes of intensive, instructor-led AI coding sessions every weekday (Monday–Friday).

• End-to-End Enterprise Stack: Master Python 3.12, Relational SQL, Scikit-Learn, PyTorch, PySpark, Airflow, Docker, FastAPI, and AWS.

• Cutting-Edge Generative AI & Agents: Build Retrieval-Augmented Generation (RAG) systems with LangChain and ChromaDB, fine-tune LLMs using LoRA/QLoRA, and construct multi-agent networks with CrewAI and AutoGen.

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

🎓 Who Should Enroll?

This data science and machine learning course kochi curriculum is designed for ambitious individuals pursuing high-impact AI careers:

• College Students: Establish a competitive edge early, master production ML frameworks, and build a standout GitHub research portfolio for campus drives.

• Recent Graduates: Bridge the gap between academic mathematics and enterprise software demands with real-world capstone projects.

• Working Professionals: Transition from traditional software development, testing, or analytics roles into high-paying AI/ML engineering positions.

📅 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.