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Artificial Intelligence And Machine Learning

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Artificial Intelligence And Machine Learning Online Course

Unlock the power of Artificial Intelligence and Machine Learning with our comprehensive online program. Learn how to build intelligent systems, train ML models, and apply AI solutions across industries like healthcare, finance, and e-commerce. With hands-on projects, live case studies, and practical tool training, you’ll transform data into real-world solutions. This course is designed to take you from fundamentals to advanced AI applications, helping you stand out in the fastest-growing tech field.

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6 Month

.Duration

Virtual Live

Classes

100% Job

Assurance

Languages

English | Hindi

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Course Highlights

Top AI Tools & Frameworks

Master Python, TensorFlow, PyTorch & cloud deployment.

Industry-Relevant Curriculum

Stay ahead with Generative AI, speech recognition & modern ML workflows.

Career Growth Ready

Learn how to embed AI tools, APIs (like ChatGPT, Gemini, Claude), and ML models into web applications.

AI & ML Mastery

Learn algorithms, deep learning, NLP & computer vision step by step.

Master these Tools

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Skills Covered

Deep Learning & Neural Networks

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Computer Vision

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Big Data & Cloud AI

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MLOps & Deployment

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Natural Language Processing (NLP)

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Data Preprocessing & Visualization

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Course Curriculum

The Artificial Intelligence & Machine Learning Mastery Course is designed to take you from the basics of Python and data handling to advanced topics like predictive modeling, neural networks, natural language processing, and computer vision. You’ll also explore big data technologies, cloud-based AI services, and modern MLOps practices. Through interactive projects, real-world case studies, and guided mentorship, you’ll build the expertise to solve complex problems and launch a successful career in AI & ML.

  • - Introduction to Artificial Intelligence
    - History and Evolution of AI
    - Types of AI (Narrow, General, Super AI)
    - Basics of Machine Learning & Deep Learning
    - AI Applications in Industry (Healthcare, Finance, Retail)
    - Introduction to Full Stack Development
    - Frontend, Backend, and Database Overview
    - Full Stack vs AI/ML Roles
  • - Python Basics & OOP Concepts
    - Data types, Loops, Conditional Statements
    - Functions, Modules, and Packages
    - NumPy for numerical computing
    - Pandas for data handling
    - Matplotlib, Seaborn, Plotly for visualization
    - Jupyter & Google Colab environments
    - Exception Handling & Debugging
    - File Handling & CSV/JSON processing
  • - Data cleaning & transformation
    - Handling missing values & outliers
    - Encoding categorical variables (One-hot, Label Encoding)
    - Feature scaling & normalization
    - Feature selection techniques
    - Dimensionality reduction (PCA, t-SNE, LDA)
    - Data pipelines with Scikit-learn
    - Handling imbalanced datasets
  • - Supervised Learning (Regression, Classification)
    - Unsupervised Learning (Clustering, Association)
    - Reinforcement Learning basics
    - Model evaluation metrics (Accuracy, Confusion Matrix, ROC, Precision/Recall)
    - Cross-validation & Hyperparameter tuning
    - Scikit-learn in practice
    - Hands-on ML projects
  • - Ensemble Learning (Bagging, Boosting, Random Forest, XGBoost, LightGBM)
    - Time Series Analysis & Forecasting
    - ARIMA, SARIMA models
    - Recommendation Systems (Collaborative & Content-Based Filtering)
    - Anomaly Detection
    - Real-world ML applications
  • - Introduction to Neural Networks
    - Forward & Backpropagation
    - Activation functions, Optimizers, Loss functions
    - Building models in TensorFlow & PyTorch
    - CNNs for images, RNNs for sequences
    - LSTM & GRU networks
    - Hyperparameter tuning
    - Regularization & Dropout
  • - Text preprocessing (tokenization, stemming, lemmatization)
    - Sentiment analysis, text classification
    - Named Entity Recognition (NER)
    - Word embeddings (Word2Vec, GloVe)
    - Transformer models (BERT, GPT) using Hugging Face
    - Chatbots & conversational AI
    - Text summarization & translation
  • - Image preprocessing with OpenCV
    - Convolutional Neural Networks (CNNs)
    - Object detection (YOLO, SSD, Faster R-CNN)
    - Image classification & segmentation
    - Transfer Learning (VGG, ResNet, Inception)
    - Real-world CV applications (Autonomous Driving, Healthcare Imaging)
  • - Introduction to Large Language Models (LLMs)
    - Prompt Engineering
    - Fine-tuning models like GPT, LLaMA, Falcon
    - Building AI Assistants & Chatbots
    - Text generation, summarization, translation
    - Generative AI in art, music, and coding
    - Ethics & responsible AI in GenAI
  • - Introduction to Big Data concepts
    - Hadoop & Spark overview
    - Apache Spark for ML (MLlib)
    - Cloud ML tools (AWS SageMaker, Azure ML, Google Vertex AI)
    - Training & deploying models on cloud
    - Data storage solutions (S3, Data Lake, SQL/NoSQL)
  • - Model versioning & tracking (MLflow, DVC)
    - Containerization with Docker
    - Scaling with Kubernetes
    - API development with Flask/FastAPI
    - CI/CD pipelines for ML
    - Monitoring models in production
    - Logging & alerting
  • - Bias in AI models
    - Explainability (LIME, SHAP, Grad-CAM)
    - Fairness, transparency & interpretability
    - AI regulations & governance
    - Ethical AI frameworks
    - Building trustworthy AI systems
  • - End-to-end AI/ML project (data → deployment)
    - Kaggle competitions participation
    - Real-world case studies
    - Portfolio building with GitHub
    - Team collaboration and code review
  • - Resume building for AI/ML roles
    - Interview preparation & mock sessions
    - Communication & presentation skills
    - Portfolio showcasing
    - Career guidance from experts
    - Freelancing & project-based opportunities
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About Artificial Intelligence And Machine Learning Course

Our AI & Machine Learning Program is designed to equip you with the skills needed to build intelligent, data-driven applications. You’ll learn core AI concepts, machine learning, deep learning, natural language processing, computer vision, and generative AI, empowering you to solve real-world problems, boost your career, or start your freelancing journey.

✅ Practical, Project-Based Learning
Through hands-on projects, capstone assignments, and Kaggle-style challenges, you’ll build a strong portfolio showcasing your AI/ML skills, making you job-ready for high-demand roles in tech and data science.

✅ Expert Mentorship & Career Support
Learn directly from industry experts, receive personalized career guidance, interview preparation, and earn a recognized certification to stand out to employers or clients in the competitive AI/ML market.

✅ For Everyone Ready to Master AI
Whether you’re a student, working professional, or entrepreneur, this program will help you master AI/ML techniques, Python programming, data preprocessing, model deployment, and responsible AI practices, preparing you for smarter, faster, and scalable AI solutions.

👥 Who Should Enroll?
✔ Students & graduates aiming to start a career in AI/ML or Data Science
✔ Working professionals looking to upskill or switch to AI/ML roles
✔ Entrepreneurs & business owners wanting to integrate AI into their products or services

Earn Industry Recognised Certificates from:

Career Opportunities After the Course

List potential roles students can pursue after completing the course, such as
  • Machine Learning Engineer
  • AI Engineer
  • Deep Learning Specialist
  • NLP Engineer
  • Data Analyst
  • Business Intelligence Developer with AI/ML

With 100% job assurance, our course prepares you for a lucrative career in AI/ML.

Authorised Training Partners

Transform Your Career Today!

Seats are filling fast! Get expert guidance in 24 hours and earn certifications from Google, Meta, HubSpot & more

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Live Virtual Classes

₹14999

EMI Options Available

Batch Timings

📅 Weekdays: 7 PM – 9 PM
📅 Weekends: 10 AM – 12 PM.

   ⭐ Intensive interview preparation.
⭐ Real-life interview case study.

Total Course Duration : 6 Months

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Our Alumni Works At

Alumni's Testimonies

The live interactive sessions made learning AI & ML so much easier. I could ask doubts instantly and work on projects with classmates. It felt like a real classroom, but from the comfort of home
Megh Sanjay Gade
ML Engineer
“What I loved most was the practical approach — every module had hands-on projects. By the end of the course, I had a complete portfolio, which helped me land multiple interview calls.”
Pooja Vinay Shukla
AI Assurance Engineer

Frequently Asked Questions

This course is designed for:

  • Students & Fresh Graduates who want to build a strong foundation in Artificial Intelligence & Machine Learning and boost their career prospects.

  • Working Professionals (IT, software, analytics, engineering) looking to upskill or switch careers into high-demand AI/ML roles.

  • Career Changers from non-technical backgrounds who want to transition into data-driven tech roles with structured guidance.

  • Entrepreneurs & Innovators who want to leverage AI/ML to build smarter products and solutions.

  • Researchers & Enthusiasts curious to explore AI/ML concepts and apply them in real-world projects.

You’ll learn the foundations of Python, Data Science, and Machine Learning, followed by Deep Learning, NLP, and Generative AI. The course covers industry tools like TensorFlow, PyTorch, and Scikit-learn, with hands-on projects and live mentorship. By the end, you’ll be able to build real-world AI/ML applications and become job-ready.

The course duration is 6 months, with flexible learning options.

Yes, you’ll receive an industry-recognized certificatios from Google Cloud, Microsft, AWS, Linkedin, W3 Schools ,HITMI and more upon successful completion.

We provide 100% Placement Assistance & Job Assurance

To know the exact fee details, please fill out the inquiry or admission form, and our team will get in touch with you to provide all the necessary information, including pricing, payment options, and available discounts.

Click on the Enroll Now button and follow the simple registration process.

 
We have a strict no-refund policy. Once purchased, access rights are processed for your account, and therefore, refund requests will not be entertained under any circumstances.

About Us

At HITMI, we’re committed to delivering cutting-edge education across today’s most in-demand tech domains. With hands-on training, real-world tools, and 100% job assistance, our programs empower individuals to thrive in the fast-paced digital economy.Whether you’re starting fresh or upskilling, our expert-led courses help you stay ahead in the world of tech and innovation.

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  • hitmiindia@gmail.com

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