Artificial Intelligence and Machine Learning
Comprehensive Learning Path: Master key concepts in AI, Machine Learning, Deep Learning, and Data Science from the ground up.Work on real-world projects: predictive modeling, image recognition, NLP, and more.10+ popular tools and libraries like Python, TensorFlow, Pandas and NumPy5+ Real Industry Case StudiesCareer-Boosting Resources: Resume guidance, interview prep, and portfolio tips to help you land your dream AI/ML job.
Course Overview
This course will help you to success the fundamental Artificial Intelligence concepts and develop practical machine learning skills.
Gain confidence to lead the world of AI with the knowledge of ML models and its best practices for development & model selection techniques.
Learn the cutting edge game-changing technology in the beginner-friendly fashion
what you will learn
- Analytical and problem-solving skills to tackle AI and ML challenges.
- Proficiency in data analysis tools, including Python, R, and TensorFlow.
- Understanding of machine learning algorithms and model development.
- Business process optimization using AI-driven insights.
- Implementation of predictive analytics and decision-making tools.
- Techniques to preprocess, clean, and manage large datasets.
- Application of deep learning frameworks for advanced AI solutions.
- Best practices for deploying and monitoring AI models in production environments.
Next Cohort Starts On 30 Nov
Skilled Covererd
- AI, ML, and deep learning core concepts
- AI ethics
- Natural Language Processing
- ML types: Supervised, unsupervised, and reinforcement learning
- ML Libraries
- Data handeling and processing concepts
Benefits
The certification can help you land lucrative roles in IT, manufacturing, finance, healthcare, and other exciting industries certified project managers drive better project performance and are often rewarded with substantial pay raises as shown below.
Designation
Annual Salary
Hiring Companies
Course Curriculum
Introduction to Artificial Intelligence
What is AI?
History & Evolution of AI
AI vs ML vs DL
Narrow vs General AI
Real-world AI Applications
AI Problem-Solving & Search Techniques
Knowledge Representation & Logic
Probabilistic Reasoning
Introduction to ML
Python for ML
EDA & Data Preprocessing
Feature Engineering
Linear & Logistic Regression
KNN & SVM
Decision Trees & Random Forests
Model Evaluation
Unsupervised Learning
PCA & t-SNE
Association Rule Mining
Ensemble Methods
Cross Validation & Tuning
Introduction to NLP (AI Module)
Introduction to Computer Vision (AI Module)
Model Deployment Basics
Capstone Project – Part 1
Capstone Project – Part 2
Capstone Project – Part 3
Artificial Intelligence and Machine Learning FAQ
Anyone interested in learning how AI and ML work — from beginners to professionals seeking to upskill in data-driven technologies.
AI and ML are among the most in-demand skills today. Completing this course can open doors to roles such as Data Analyst, Machine Learning Engineer, or AI Specialist, and boost your earning potential.
Basic programming knowledge (preferably Python) is helpful but not required. The course includes beginner-friendly programming tutorials.
1. Who is this course suitable for?
Anyone interested in learning how AI and ML work — from beginners to professionals seeking to upskill in data-driven technologies.
2. How will this course help my career?
AI and ML are among the most in-demand skills today. Completing this course can open doors to roles such as Data Analyst, Machine Learning Engineer, or AI Specialist, and boost your earning potential.
3. Do I need to know programming before joining?
Basic programming knowledge (preferably Python) is helpful but not required. The course includes beginner-friendly programming tutorials.
4. What tools and technologies are covered?
You’ll get hands-on experience with Python, NumPy, Pandas, Matplotlib, Scikit-learn, TensorFlow, and Keras, among others.
Absolutely! You’ll work on multiple real-world projects like predictive analytics, image classification, and sentiment analysis.
Eligibility
- Learn High-Demand Skillset: Gain expertise in AI and Machine Learning — two of the most in-demand technologies in today’s job market.
- Global Career Opportunities: Open doors to tech roles worldwide across industries like IT, finance, healthcare, marketing, and e-commerce.
- Attractive Salary Packages: Professionals with AI/ML skills earn 30–50% higher salaries compared to traditional IT roles.
- Diverse Career Roles: Qualify for roles such as:Machine Learning Engineer, Data Scientist, AI Research Associate, Data Analyst, NLP Engineer, Computer Vision Specialist, and more.
- Future-Proof Your Career: Stay relevant in the era of automation and intelligent systems — where AI powers every major industry.
- Build a Strong Portfolio: Showcase your hands-on projects to employers, demonstrating your ability to apply AI/ML concepts to real-world challenges.
- Boost Your Professional Profile: Add an Educlassix AI & ML Certificate to your resume and LinkedIn to stand out in job applications.
- Career Guidance Included: Get support with resume building, LinkedIn optimization, and interview preparation tailored to AI/ML roles.
- Pathway to Advanced Roles: Use this course as a foundation for specialized career paths in Deep Learning, Data Science, or AI Product Development.
Pre-requisites
- Basic programming knowledge — familiarity with Python is recommended (but not mandatory).
- Fundamental understanding of mathematics — especially linear algebra, statistics, and probability.
- Analytical thinking and curiosity about data-driven decision-making.
- Exposure to Excel, data visualization, or any programming language.
Contact Us
1800-212-7688
(Toll Free)
Why join this program
Develop skills for real career growth
Cutting-edge curriculum designed in guidance with industry and academia to develop job-ready skills
Learn from experts active in their field, not out-of-touch trainers
Leading practitioners who bring current best practices and case studies to sessions that fit into your work schedule.
Learn by working on real-world problems
Capstone projects involving real world data sets with virtual labs for hands-on learning
Structured guidance ensuring learning never stops
24×7 Learning support from mentors and a community of like-minded peers to resolve any conceptual doubts
