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Everything about your career at one place now

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Advanced Certification in Data Science & AI

Core Objectives

  • Transition from Data to Decisions: Build predictive and prescriptive models.
  • Master Modern AI: Hands-on with LLMs, Reinforcement Learning & Neural Networks.
  • Industry Readiness: Deploy production-level AI applications.

🛠️ What You Will Master

  • Advanced Python, SQL (Big Data), Git Version Control.
  • Hypothesis Testing, Probability & Optimization.
  • Machine Learning: Regression, XGBoost, Clustering, PCA.
  • Deep Learning: Transformers, BERT, Computer Vision.
  • Generative AI: Prompt Engineering & Llama 3 fine-tuning.
  • MLOps: Docker, Kubernetes & Cloud Deployment (AWS/Azure).

⏱️ Timeline & Effort

  • Duration: 7–9 Months
  • Time Commitment: 8–12 Hours per Week
  • Format: Live Online + Self-paced + Weekend Workshops

📘 Phase 1: Foundation (Months 1–2)

  • Linear Algebra, Calculus & Inferential Statistics.
  • Python (Pandas, NumPy, Matplotlib).
  • Advanced SQL (Joins, Window Functions).
  • Data Wrangling & Feature Engineering.

🤖 Phase 2: Machine Learning (Months 3–4)

  • Supervised Learning: Regression, Trees, Random Forest.
  • Unsupervised Learning: K-Means, PCA.
  • Performance Metrics: Bias-Variance, F1-score, Cross-validation.

🚀 Phase 3: Deep Learning & GenAI (Months 5–6)

  • Neural Networks & Backpropagation.
  • CNNs for Vision & Transformers (BERT/GPT).
  • RAG, Vector DB (Pinecone/Milvus), LangChain AI Agents.

☁️ Phase 4: MLOps & Deployment (Month 7)

  • Git Versioning, Docker Containerization, Kubernetes Orchestration.
  • Cloud APIs via AWS Lambda or Azure.
  • Capstone Project: Industry-grade AI application.

💎 Key Benefits

  • High resume visibility & MNC screening advantage.
  • Dual Alumni Status & Job Portal Access.
  • Weekly Mentorship from industry Data Scientists.
  • Average 40%–70% Salary Hike.

📅 Timeline Summary

Period Focus Milestone
Weeks 1–8 Prep & Data Toolkit Master Python & SQL
Weeks 9–16 Machine Learning Build Predictive Models
Weeks 17–24 AI & Deep Learning Create GenAI Apps & Agents
Weeks 25–28 Capstone & Career Final Project & Resume Building

💰 Course Fee: ₹75,000

  • Are they any academic prerequisites?
  • This course is for all those who want to learn to speak fluent English. Each course is recommended for specific audience. This course is ideal for professionals or fresher who are planning to enter corporate world. Graduates, Post-graduates, working professionals looking to improve their communication skill.
  • What Infrastructure do I need to attend this session?
  • You will need a PC/laptop with webcam, headset or speakers.
  • What is the validity of the course?
  • The course is valid for 6 months.
  • How do I login to the course?
  • User Id and password will be sent to your registered email ID. Using your ID and password you can start your course.
  • Can I run the course on multiple PCs?
  • Yes, the course can be run using your log in credentials. It is not bind to the system.
  • Can I repeat the exercises within the course?
  • What if I have an academic query or I need some assistance?

75,000

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