Artificial Intelligence and Machine learning

Duration: 20 Hours

Rating: ⭐⭐⭐⭐⭐

🢂Learn AI & ML through practical exercises guided by industry experts.

🢂 Understand how to build models, use algorithms, and optimize performance for real-world applications.

🢂Flexible class schedules and a program that supports certification and placement assistance.

🢂 Sign up for Cloud Pi IT Solution to advance your career in Artificial Intelligence and Machine Learning.

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Key Highlights

Learn from Industry Experts

100% Practical & Project-Based

Flexible Learning Options

Lifetime Access

Certifications

Community & Support

Flexible Batches

Online Offline Self-Paced Corporate
21st May 2025Wednesday6:00 AM to 10:00 PM
21st May 2025Wednesday6:00 AM to 10:00 PM
21st May 2025Wednesday6:00 AM to 10:00 PM
21st May 2025Wednesday6:00 AM to 10:00 PM

Price: ₹40000/-

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Online self-learning courses offer autonomy, allowing individuals to learn at their own pace. They provide structured training materials with review exercises to enhance understanding. Utilizing multimedia resources like videos and presentations, learners actively engage with the content, while flexibility enables customization of study schedules. This fosters an environment conducive to effective learning and skill development, accommodating personal commitments.

Corporate training solutions are tailored to meet organizational goals. We offer flexible delivery modes, expert-led sessions, and project-driven modules to upskill your workforce. Contact us to create a custom learning experience aligned with your business needs.

Artificial Intelligence and Machine Learning Course Details

Cloud Pi IT Solution introduces a comprehensive AI & ML (Artificial Intelligence & Machine Learning) course designed to help aspiring data scientists, software developers, analysts, and IT professionals gain the skills needed to build intelligent systems and data-driven applications.

This course offers a deep understanding of AI concepts and machine learning algorithms, with a strong focus on real-world use cases and hands-on practice.Whether you’re a beginner stepping into the AI domain or a tech professional looking to enhance your knowledge, this course provides structured learning paths suited to all experience levels.

During the training, learners will explore the foundations of AI and ML, learn to work with essential libraries and tools such as Python, TensorFlow, Keras, and Scikit-learn, and build real-time models using regression, classification, clustering, and neural networks. The course also includes topics like Natural Language Processing (NLP), computer vision, deep learning, and model deployment.

The strength of this course lies in its practical learning approach. Students engage with live coding labs, real-time projects, and assignments that mirror actual industry problems. Experienced instructors from the field lead the training, offering direct support, interactive Q&A sessions, and personalized guidance to clarify doubts.

By the end of the course, participants will have the skills required to design, implement, and deploy intelligent systems across domains such as healthcare, finance, marketing, and more. Whether your goal is certification, career growth, or building AI-driven applications, this course will serve as your foundation for success in the world of Artificial Intelligence and Machine Learning.

Start your AI & ML journey today with Cloud Pi IT Solution and transform your career in the field of smart technologies and data science.

Curriculum

Phase 1: Foundations (1-2 months)

  • Programming Basics
    • Python (must-know)
    • Variables, loops, functions
    • Libraries: NumPy, Pandas, Matplotlib
  • Math Essentials
    • Linear Algebra (vectors, matrices)
    • Probability & Statistics (mean, variance, distributions)
    • Calculus basics (derivatives, gradients)
  • Tools & Environment
    • Jupyter Notebook
    • Google Colab
    • Git and GitHub
    • Anaconda

Phase 2: Core Machine Learning (2-3 months)

  • ML Concepts
    • Supervised: Linear Regression, Logistic Regression, Decision Trees
    • Unsupervised: K-Means, Hierarchical Clustering
    • Evaluation: Accuracy, Precision, Recall, Confusion Matrix
  • Projects
    • Predicting house prices
    • Spam email detection
    • Customer segmentation
  • Libraries: Scikit-Learn, Seaborn

Phase 3: Deep Learning (2 months)

  • Neural Networks
    • Perceptron, Activation Functions
    • Forward and Backpropagation
    • Loss functions, optimizers
  • Frameworks: TensorFlow, Keras, (Optional: PyTorch)
  • Projects: MNIST Digit Recognition, Cats vs Dogs Classifier

Phase 4: Advanced AI Topics (3-4 months)

  • NLP
    • Text preprocessing
    • Sentiment analysis
    • Chatbots using RNNs / Transformers
  • Computer Vision: CNNs, OpenCV
  • Reinforcement Learning: Q-learning, Game-playing agents

Phase 5: Real-World Applications & Deployment (1-2 months)

  • Model Deployment: Flask, FastAPI, AWS / Heroku / Render
  • MLOps Basics: Versioning, Monitoring, Docker
  • Capstone Projects: Full AI/ML project with real data

Certification

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