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AI & MACHINE LEARNING PROFESSIONAL COURSE
The AI and Machine Learning Course is designed to train learners in building intelligent data-driven and predictive applications using modern algorithms and tools. This course covers core concepts of artificial intelligence machine learning data analysis model development and real-world implementation across multiple industries.
This program is hands-on project-based and aligned with current industry requirements.
COURSE OBJECTIVES
By the end of this course, learners will be able to:
- Understand AI and machine learning fundamentals
- Build machine learning models from scratch
- Analyze and process large datasets
- Apply algorithms to real-world problems
- Deploy machine learning solutions
PYTHON FOR AI & ML
By the end of this course, learners will be able to:
- Python programming fundamentals
- Data types and functions
- NumPy and Pandas
- Data visualization basics
VERSION CONTROL & COLLABORATION
Version Control & Collaboration involves managing and tracking
- Git Fundamentals
- GitHub / GitLab
- Branching & Merging Strategies
CI/CD TOOLS & AUTOMATION
Learn efficient CI/CD Tools & Automation
- Continuous Integration Concepts
- Jenkins (Pipeline Creation)
- Build Automation
- Artifact Management
CLOUD COMPUTING
Cloud Computing is the delivery of computing services
- Cloud Fundamentals
- AWS (EC2, S3, IAM, VPC, RDS)
- Cloud Resource Management
- Cost Optimization Basics
DATA ANALYSIS & PREPROCESSING
- Data cleaning techniques
- Handling missing values
- Feature engineering
- Exploratory data analysis
MACHINE LEARNING FUNDAMENTALS
- Supervised learning
- Unsupervised learning
- Regression and classification
- Clustering techniques
MACHINE LEARNING ALGORITHMS
- Linear regression
- Logistic regression
- Decision trees
- Random forest
- K nearest neighbors
- Support vector machines
MODEL TRAINING & EVALUATION
- Train test split
- Performance metrics
- Overfitting and underfitting
- Model optimization
INTRODUCTION TO DEEP LEARNING
- Neural network basics
- TensorFlow or PyTorch introduction
- Simple deep learning models
AI APPLICATIONS
- Image recognition basics
- Natural language processing basics
- Recommendation systems
- Predictive analytics
AI APPLICATIONS
- Image recognition basics
- Natural language processing basics
- Recommendation systems
- Predictive analytics
WHO CAN ENROLL
- IT Professionals
- Developers & System Administrators
- Cloud Engineers
- Fresh Graduates & Career Switchers
CAREER OPPORTUNITIES
- DevOps Engineer
- Site Reliability Engineer (SRE)
- Cloud Engineer
- Release Engineer
CERTIFICATION & PLACEMENT SUPPORT
- Industry-recognized certification
- Resume & DevOps portfolio preparation
- Interview preparation & mock interviews
- Internship & placement assistance
Basic Online (Budget)
Duration : 1 Month
Portions : DevOps Basics, CI/CD Pipelines, Deployment Strategies, Practical Training, Certification.
Fees : Rs. 15,000/-
Comprehensive (Mid-Range)
Duration : 3 Months
Portions : DevOps Fundamentals, CI/CD Pipelines, Deployment Strategies, Cloud & Infrastructure, Project & Practical Training, Database Management, Certification.
Fees : Rs. 25,000/-
Premium
Duration : 6 Months
Portions : DevOps Fundamentals, CI/CD Pipelines, Deployment Strategies, Cloud & Infrastructure, Project & Practical Training, Certification & Placement Focus.
Fees : Rs. 50,000/-
