Premium Track
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Portfolio & Placement Support
Machine Learning Certification Training for Industry & Career Growth
Master Machine Learning end-to-end using Python through live sessions, hands-on labs, real-world projects, and a portfolio-focused capstone — guided by industry experts with placement support.
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In-house Courses
Explore Educkshetra’s flagship in-house programs designed for students and working professionals.
ACE FlagshipACE – Career Launch TrackInternship + project + placement support.
EDGE Long TrackEDGE – Employability JourneyStructured multi-semester growth pathway.
CAP AcceleratorCAP – Career AcceleratorFast skill upgrade + interviews.
AI TrackGenerative AI with AI ToolsAgents, tools, use-cases, portfolio builds.
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Course Provisions (Add/Customize)
Batch OptionsWeekday / Weekend / Fast-track batches (add dates).
Fees & EMIShow course fee, EMI plan, and scholarship provision.
Learning SupportLMS access, assignments, doubt-clearing sessions.
CertificationEduckshetra certification + optional vendor support.
Placement SupportResume, LinkedIn, mock interviews, referrals (as applicable).
Course Overview
This program builds strong fundamentals, practical modeling skills, and real-world readiness through guided practice, assessments, and deployable project work.
What you’ll be able to do
Build ML models end-to-endFrom data preparation to training, evaluation, and model selection.
Solve real business problemsDatasets from finance, e-commerce, healthcare, and operations.
Create a recruiter-ready portfolioGitHub-ready notebooks, reports, and capstone deliverables.
Interview & placement supportResume + LinkedIn optimization, mock interviews, job readiness sessions.
Why Educkshetra
Industry mentorshipGuidance on learning path, projects, and career progression.
Live project-based learningHands-on tasks and mini projects across modules.
Career pathway mappingEntry → mid-level role mapping and portfolio positioning.
Global readiness optionInternational CV + LinkedIn optimization and profile building.
Key Highlights
Premium course features that improve skill mastery and job outcomes.
40+ Hours Applied LearningLive sessions + structured practiceInstructor-led learning with guided labs.
Hands-on ProjectsReal datasets & case studiesBuild industry-style solutions and reports.
Mentor SupportTechnical + career mentoringPortfolio guidance and interview readiness.
Job Ready OutcomePlacement supportResume + LinkedIn + mock interviews.
Curriculum (Module-wise)
Well-structured topics aligned with real interview and project expectations.
Module 1: ML Foundations & Workflow Basics • Setup • Data mindset
- ML overview, use cases, and workflow
- Data preparation and feature basics
- Train/test split and evaluation concepts
Module 2: Supervised Learning Regression • Classification
- Linear Regression and diagnostics
- Logistic Regression and classification metrics
- Overfitting/underfitting, regularization basics
Module 3: Unsupervised Learning Clustering • Patterns
- K-Means clustering
- Dimensionality reduction (intro concepts)
- Use-case: customer segmentation
Module 4: Tree-Based Models Decision Trees • Random Forest
- Decision Trees (entropy/gini intuition)
- Random Forest: bagging, importance, tuning
- Model interpretation basics
Module 5: Ensemble + Time Series (Intro) Boosting • Forecasting
- Bagging vs boosting
- Time series: trend/seasonality basics
- Mini project: simple forecast pipeline
Tools & Technology Stack
Expand as per your actual syllabus.
Python
NumPy
Pandas
Matplotlib
Scikit-learn
Jupyter
Git & GitHub
Cloud (Optional)
Projects, Capstone & Portfolio
We clearly define outcomes and deliverables.
Mini Projects
Regression predictionModel + evaluation report
Classification workflowPrecision/recall, confusion matrix
Customer segmentationK-means + interpretation
Capstone (Industry Style)
Choose a domain (e-commerce / finance / healthcare / operations) and deliver:
Problem framing + EDAObjectives, metrics, constraints
Model training + evaluationBaseline → improved models
Portfolio deliverablesNotebook + report + GitHub repo
Career Outcomes
Role pathways and placement support are built into the learning journey.
Job Roles You Can Target
Machine Learning EngineerModel building & evaluation
Junior Data ScientistApplied ML + experimentation
Data Analyst (ML)Insights + predictive modeling
Placement Support Includes
ATS-friendly resumeProject-first, role-aligned
LinkedIn optimizationKeywords + portfolio links
Mock interviewsTechnical + HR rounds
Corporate Engagements
Corporate training programs tailored for teams—custom syllabus, projects, and measurable outcomes.
Skill Gap AssessmentBaseline → custom learning roadmap.
Hands-on WorkshopsCase studies, labs, and real project mentoring.
ReportingAttendance, progress, assessment metrics.
College Add-ons
Value-added programs for colleges: skill modules, exams, projects, and certification support.
Semester-wise Add-on ModulesAligned to outcomes and placement readiness.
Project + Viva SupportCapstone, documentation, presentations.
Certification PathwayEduckshetra + optional vendor mapping.
Placement Training
Aptitude, communication, competitive coding, interview prep, and placement-ready portfolios.
Aptitude + ReasoningDaily practice + mock tests.
Competitive CodingDSA, problem solving, platforms, contests.
Interview MasteryHR + technical mocks, resume, LinkedIn.
Abroad Preparation
International CV, LinkedIn optimization, profile building, and interview readiness for global opportunities.
International CV & LinkedInATS + keyword strategy + proof-of-work.
Portfolio & CertificationsProject-backed profile to stand out globally.
Interview PreparationMock interviews + guidance for role mapping.
FAQ
Quick answers to common questions.
Is this beginner-friendly? Yes
Basic programming helps. Bridge sessions are provided for beginners.
Do I get a certificate? Yes
Educkshetra certificate is provided after assessments + project evaluation.
Is placement guaranteed? Support Provided
We provide structured support; outcomes depend on performance and openings.