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AI Advanced ML

Artificial Intelligence (AI) and Machine Learning (ML) are at the core of the technological revolution we are experiencing today. These transformative fields are shaping industries, driving innovation, and solving complex problems that were previously unimaginable. The Master Course in Artificial Intelligence and Advanced Machine Learning at Growup Technologies is an extensive 6-month program that equips you with the skills to become anexpert in AI and ML, preparing you for a thriving career in these cutting-edge fields.

This course is designed for individuals who wish to dive deep into the world of AI, ML, Deep Learning (DL), Python, SQL, Power BI, Tableau, and more. With a combination of theoretical learning and hands-on experience, you will be well-prepared to tackle real-world challenges and contribute to the future of AI/ML.

Why Choose Growup Technologies for AI & Advanced ML Training?

Comprehensive AI & Advanced ML Training Curriculum

Our AI & Advanced ML Training course is designed to provide you with deep knowledge and hands-on experience ofAI & Advanced ML Training cloud services. It covers a wide range of AI & Advanced ML Training technologies, including compute, storage, networking, database, security, and more.

The curriculum is regularly updated to reflect the latest industry trends and updates from AWS, ensuring you are always learning the most relevant skills.

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Experienced Trainers

Learn from industry experts who have years of experience working with AWS in real world applications. Our trainers bring in-depth knowledge of cloud computing and AWS best practices, helping you understand how to apply AWS tools effectively.

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Hands-on Experience

Our training program includes hands-on labs, projects, and case studies that will help you gain practical experience in deploying, managing, and operating workloads on AWS.

You will work on live projects that simulate real-time cloud computing environments, allowing you to understand the challenges and nuances of working with AWS.

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100% Placement Assistance

We provide 100% placement support to ensure that our students secure job opportunities upon completing the course. Our placement team works with leading companies in IT and cloud computing to provide career opportunities to our students.

In addition, we offer resume building, mock interviews, and interview preparation to help you succeed in your job search.

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Flexible Learning Options

At Growup Technologies, we offer both online and offline learning modes, allowing you to choose the best option based on your learning style and schedule.

Our training modules are available for both beginners and advanced learners, ensuring that every student can make the most of their learning experience.

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AI & Advanced ML Training Course Highlights

Course Duration

6 months (Flexible based on student pace)

Mode of Training

Online and Offline

 

Training Format

Theory + Hands-on Projects + Case Studies

Course Level

Beginner to Advanced

 

 

Trainer’s Expertise

AI & Advanced ML Certified Trainers with real-world experience in deploying and managing cloud infrastructure

Placement Assistance

100% Job Placement Support, including resume preparation, mock interviews, and job interviews

AI & Advanced ML Training Syllabus at Growup Technologies

Our AI & Advanced ML Training course syllabus is designed to cover a comprehensive range of topics that will provide you with the knowledge required to handle various cloud-related tasks and responsibilities effectively.

  1. What is Artificial Intelligence (AI)?
    Definition, history, and applications of AI.
    Types of AI: Narrow AI vs. General AI.
    The role of AI in automation and problem-solving.
  2. Overview of Machine Learning (ML)
    Understanding ML and its subsets: Supervised, Unsupervised, and Reinforcement
    Learning.
    How ML differs from traditional programming.
    Real-life examples of ML applications.
  3. Key Concepts in AI & ML
    Algorithms and models: Basic to advanced concepts.
    Data representation: Structures, feature selection, and data types.
    Tools and technologies for AI and ML.
  4. Introduction to Neural Networks
    Understanding the structure and functioning of neural networks.
    Activation functions, layers, and neurons.
  1. Python Basics for AI/ML
    Data structures (lists, tuples, sets, dictionaries).
    Functions, modules, and libraries.
    Python syntax and programming paradigms.
  2. Python for Data Manipulation
    Working with NumPy and Pandas for data analysis.
    Data cleaning: Handling missing data, encoding categorical data, normalization.
    Data visualization with Matplotlib and Seaborn.
  3. Python Libraries for AI and ML
    scikit-learn for implementing machine learning algorithms.
    TensorFlow and Keras for Deep Learning.
    NLTK and spaCy for Natural Language Processing (NLP).
  1. SQL for Data Analysis
    Retrieving and manipulating data using SQL queries.
    Aggregate functions, joins, subqueries, and unions.
    Using SQL with Python: Integration and practical applications.
  2. Database Design and Data Warehousing
    Relational databases and normalization.
    Understanding and applying indexes, primary keys, and foreign keys.
  3. Big Data Technologies
    Introduction to NoSQL databases (e.g., MongoDB).
    Understanding Hadoop and Spark for Big Data processing.
  1. Supervised Learning Algorithms
    Linear Regression and Logistic Regression.
    Decision Trees and Random Forest.
    Support Vector Machines (SVM) and K-Nearest Neighbors (KNN).
    Naive Bayes classifiers.
  2. Unsupervised Learning Algorithms
    K-Means Clustering.
    Hierarchical Clustering and DBSCAN.
    Principal Component Analysis (PCA).
  3. Reinforcement Learning
    Basics of reinforcement learning: Agents, environment, and reward.
    Q-learning and policy gradient methods.
    Applications of reinforcement learning in robotics and autonomous systems.
  1. Introduction to Deep Learning
    The need for deep learning in solving complex problems.
    Understanding the architecture of deep learning models.
  2. Building Neural Networks
    The architecture of neural networks: Layers, weights, and biases.
    Activation functions: Sigmoid, ReLU, Softmax, etc.
    Backpropagation algorithm and loss functions.
  3. Advanced Deep Learning Techniques
    Convolutional Neural Networks (CNNs): Image recognition and processing.
    Recurrent Neural Networks (RNNs): Sequence-based data, time-series forecasting,
    and language models.
    Long Short-Term Memory (LSTM): Advanced RNNs for handling long-term
    dependencies.
  4. Transfer Learning and Fine-Tuning
    Using pre-trained models for fast and efficient model building.
    Fine-tuning models for specific applications.
  1. Introduction to NLP
    NLP basics: Tokenization, stemming, lemmatization.
    Understanding text processing: Regular expressions, stopwords removal, etc.
  2. Text Vectorization Techniques
    Bag of Words (BoW), TF-IDF, and Word Embeddings (Word2Vec, GloVe).
  3. Advanced NLP Techniques
    Named Entity Recognition (NER) and Part-of-Speech (POS) tagging.
    Sentiment Analysis: Understanding customer feedback and reviews.
    Text Summarization and Language Generation using Transformers (e.g., GPT, BERT).
  4. Applications of NLP
    Machine translation, speech recognition, and chatbot development.
  1. Introduction to Power BI and Tableau
    Data connection and preparation.
    Building interactive dashboards, reports, and visualizations.
  2. Data Cleaning and Transformation
    Power Query in Power BI.
    Data blending, shaping, and aggregation.
  3. Advanced Visualization Techniques
    Creating interactive charts, slicers, and time-based visualizations.
    Mapping and geographical visualizations.
  4. Reporting and Sharing Insights
    Power BI report publishing, dashboard sharing, and Tableau server.
    Storytelling with data: How to present findings to stakeholders effectively.
  1. Ethical Considerations in AI
    Fairness, accountability, and transparency in AI.
    The impact of bias in AI algorithms and decision-making systems.
  2. Regulatory and Governance Frameworks
    Understanding AI governance frameworks and guidelines.
    International laws and regulations regarding AI and data privacy.
  3. Responsible AI
    Designing and implementing ethical AI systems.
    Reducing risks and enhancing transparency.
  1. Deep Reinforcement Learning (DRL)
    Combining deep learning with reinforcement learning.
    Applications in robotics, gaming, and autonomous driving.
  2. Generative Adversarial Networks (GANs)
    How GANs work: The concept of generator vs. discriminator.
    Applications of GANs in image generation, deepfakes, and creative AI.
  3. AI for Robotics
    Understanding robot perception, navigation, and decision-making.
    Implementing AI in robotics using frameworks like ROS (Robot Operating System).
  1. Capstone Project Development
    Selection of a real-world problem to solve using AI/ML techniques.
    Data gathering, cleaning, and preprocessing for the project.
    Building and optimizing AI/ML models to solve the problem.
    Presentation of project findings and insights to stakeholders.

Real-Time Projects and Case Studies

At Growup Technologies, we believe in the power of hands-on learning. Our  AI and ML course Includes real-time projects and case studies to help you apply the knowledge gained in class to solve real-world problems.

Examples of real-time AI and ML course projects include:

  • Predictive Maintenance Using Machine Learning
  • Chatbot Development for Customer Support
  • Image Recognition and Classification with Deep Learning
  • Real-time Fraud Detection in Financial Transactions
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100% Placement Support

At Growup Technologies, we ensure that all our AWS students are prepared to succeed in
their job search. Here’s how we assist our students with placement:

  • Resume Building
  • Mock Interviews
  • Job Interviews
  • Placement Assistance
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Why AI and ML course Certification Matters

AI & ML certification validates your expertise, making you stand out in a competitive job market. It enhances your career opportunities by showcasing your skills in real-world applications. With industries rapidly adopting AI, certified professionals have a higher chance of securing high-paying roles.

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Why Growup Technologies is Your Ideal AI and ML course Training Partner

  1. Experienced Trainers: Our trainers are AWS-certified professionals with years of industry experience.
  2. Hands-on Projects: You’ll work on live projects that help you gain practical knowledge of AWS tools and services.
  3. Flexible Learning Options: Choose between online or offline classes based on your schedule.
  4. 100% Placement Support: Get all the guidance you need to land your first job in AWS.

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How to Enroll?

To enroll in the AI and ML Certification Course at Growup Technologies, follow these simple steps:

📌 Visit Our Center: 2nd floor, No.266, Velachery Rd, next to Jolen Hospital, Durga Colony, Sembakkam, Chennai, Tamil Nadu 600073.

📞 Reach us at 9363860869 for more details.

📩 Online Enrollment: You can also register online by filling out the enrollment form on our website.

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Student Feedback

Our dedication to providing top-notch assistance is reflected in the positive feedback we receive from our clients. Here's why our customer feedback speaks of our commitment to excellence

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Julia Levin

Once I decided to reach out, their online contact form was straightforward and hassle-free. I appreciated the prompt response I received from their team, showing their commitment to customer satisfaction right from the beginning. the person's experience with the online contact form was positive due to its user-friendly the company's commitment to promptly addressing customer inquiries.

Josie Richey

The handyman who arrived at my home was not only punctual but also highly skilled and professional. He quickly assessed the tasks at hand and efficiently completed each one to my utmost satisfaction. His attention to detail and craftsmanship were remarkable, leaving no room for any concerns or complaints. Moreover, the handyman was polite, respectful, and had a positive attitude.

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Start your journey with Growup Technologies and build a career in IT. Your gateway to a high-paying IT career begins here!

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