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AI WITH MACHINE & DEEP LEARNING
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4.4 (2081 Ratings)
AI with Machine Learning and Deep Learning represents the integration of data-driven, learning-based techniques into artificial intelligence systems, enabling them to perform complex tasks and make intelligent decisions across various domains and industries.
Overview
The Syllabus
Curriculum Designed by Experts
Project – 1
Introduction with Artificial Intelligence
- What is AI (Artificial Intelligence) ?
- What types of intelligences we are talking about?
- Different definitions and Ultimate goal of AI.
- What are application areas for AI?
- History of AI and some real life examples of AI.
ML and other related terms to AI
- What is ML and How it is related with AI?
- What is NLP and How it is related with AI?
- What is DL and How it is related with ML and AI?
- What are ANNs and DNNs and How are they related to AI?
A working example of AI and ML
Project 1 – These simple tasks are to make you understand how AI and ML can find their applications in real life.
Python libraries for ML
- What are Libraries, packages and Modules?
- What are top Python libraries for ML in Python?
Setting up Anaconda development environment
- Why choosing Anaconda development environment?
- Setting up Anaconda development environment on Windows 10 PC.
- Verifying proper installation of Anaconda environment.
Getting into core development of ML
- What is a classifier in ML?
- Important elements and flow of any ML projects.
- Let’s develop our first ML program – explanations
- Let’s develop our first ML program – development
Project – 2
These simple tasks are going to give you some great experience with Machine Learning introductory programs or better say, “Hello world” programs of Machine Learning.
Different ML techniques
- What all ML techniques are there?
- Evaluation methods of all ML techniques.
Developing complete project of ML (IRIS flower project)
- Developing complete ML project – understanding data set
- Developing complete ML project – understanding flow of project
- Developing complete ML project – visualizing data set through Python
- Developing complete ML project – development
- Developing complete ML project – concepts explanations
- Developing another project of ML (Digit recognition project)
Project – 3
- After completing these project, you have done and understood multiple complete projects of Machine Learning.
Introduction of Ai with Deep Learning
- Installation
- CPU Software Requirements
- CPU Installation of PyTorch
- PyTorch with GPU on AWS
- PyTorch with GPU on Linux
- PyTorch with GPU on MacOSX
PyTorch Fundamentals : Matrices
- Matrix Basics
- Seed for Reproducibility
- Torch to NumPy Bridge
- NumPy to Torch Bridge
- GPU and CPU Toggling
- Basic Mathematical Tensor Operations
- Summary of Matrices
PyTorch Fundamentals : Variables and Gradients
- Variables
- Gradients
- Summary of Variables and Gradients
Linear Regression with PyTorch
- Linear Regression Introduction
- Linear Regression in PyTorch
- Linear Regression From CPU to GPU in PyTorch
- Summary of Linear Regression
Logistic Regression with PyTorch
- Logistic Regression Introduction
- Linear Regression Problems
- Logistic Regression In-depth
- Logistic Regression with PyTorch
- Logistic Regression From CPU to GPU in PyTorch
- Summary of Logistic Regression
Feedforward Neural Network with PyTorch
- Logistic Regression Transition to Feedforward Neural Network
- Non-linearity
- Feedforward Neural Network in PyTorch
- More Feedforward Neural Network Models in PyTorch
- Feedforward Neural Network From CPU to GPU in PyTorch
- Summary of Feedforward Neural Network
Convolutional Neural Network (CNN) with PyTorch
- Feedforward Neural Network Transition to CNN
- One Convolutional Layer, Input Depth of 1
- One Convolutional Layer, Input Depth of 3
- One Convolutional Layer Summary
- Multiple Convolutional Layers Overview
- Pooling Layers
- Padding for Convolutional Layers
- Output Size Calculation
- CNN in PyTorch
- More CNN Models in PyTorch
- CNN Models Summary
- Expanding Model’s Capacity
- CNN From CPU to GPU in PyTorch
- Summary of CNN
Recurrent Neural Networks (RNN)
- Introduction to RNN
- RNN in PyTorch
- More RNN Models in PyTorch
- RNN From CPU to GPU in PyTorch
- Summary of RNN
Long Short-Term Memory Networks (LSTM)
- Introduction to LSTMs
- LSTM Equations
- LSTM in PyTorch
- More LSTM Models in PyTorch
- LSTM From CPU to GPU in PyTorch
- Summary of LSTM
Projects
Deep Learning Projects
| Churn Modelling using ANN | Mini |
| Image Classification | Mini |
| Image classification using Transfer learning | Major |
| Sentence Classification using RNN,LSTM,GRU | Mini |
| Sentence Classification using word embeddings | Major |
| Object Detection using yolo | Major |
Machine Learning Projects
| EDA on movies database | Mini |
| House price prediction using Regression | Mini |
| Predict survival on the Titanic using Classification | Mini |
| Image Clustering | Mini |
| Document Clustering | Mini |
| Twitter US Airline Sentiment | Major |
| Restaurant revenue prediction | Major |
| Disease Prediction | Major |
Note : Depends upon Trainers above projects may vary
Enquire Now
Why Radical Technologies
Live Online Training
Highly practical oriented training
Installation of Software On your System
24/7 Email and Phone Support
100% Placement Assistance until you get placed
Global Certification Preparation
Trainer Student Interactive Portal
Assignments and Projects Guided by Mentors
And Many More Features
Course completion certificate and Global Certifications are part of our all Master Program
Live Classroom Training
Weekend / Weekdays / Morning / Evening Batches
80:20 Practical and Theory Ratio
Real-life Case Studies
Easy Coverup if you missed any sessions
PSI | Kryterion | Redhat Test Centers
Life Time Video Classroom Access ( coming soon )
Resume Preparations and Mock Interviews
And Many More Features
Course completion certificate and Global Certifications are part of our all Master Program
Self Paced Training
Self Paced Learning
Learn 300+ Courses at Your Own Time
50000+ Satisfied Learners
Course Completion Certificate
Practical Labs Available
Mentor Support Available
Doubt Clearing Session Available
Attend Our Virtual Job Fair
10% Discounted Global Certification
Course completion certificate and Global Certifications are part of our all Master Program
Skills Covered
Like the Curriculum ? Let's Get Started
Why Enroll for AI With Machine Learning & Deep Learning Course ?
In-Demand Skills
In-demand skills for AI with Machine & Deep Learning course training include mastering algorithms, neural networks, and data analysis. Enroll in this course to gain hands-on experience, work on real-world projects, and boost your career with AI expertise and certification from industry experts.
Career Opportunities
Enrolling in an AI with Machine & Deep Learning Course opens doors to roles like AI Engineer, Data Scientist, and ML Developer. Certification in this training boosts your expertise in neural networks, automation, and data analysis, preparing you for high-demand careers in AI-driven industries.
Cloud Adoption
Cloud adoption in the AI with Machine & Deep Learning Course empowers learners to harness scalable computing resources. This training enhances your ability to deploy AI models efficiently, facilitating advanced analytics and real-time data processing, critical for modern AI-driven industries.
Scalability and Flexibility
The AI with Machine & Deep Learning Course offers scalability and flexibility, allowing learners to handle large datasets and adaptable AI models. This training enhances skills in deploying AI solutions across industries, making you future-ready with advanced capabilities in AI-driven technologies.
Cost Management
The AI with Machine & Deep Learning Course emphasizes cost management, providing learners with the skills to optimize computing resources, reduce expenses, and scale AI solutions effectively. This training ensures that professionals can deploy AI models efficiently while keeping operational costs in check.
Security and Compliance
The AI with Machine & Deep Learning Course covers crucial aspects of security and compliance. This training equips learners with skills to secure AI systems, ensure data privacy, and meet industry regulations, making you well-prepared to handle AI deployments in secure environments across industries.
Course benefits
Who Can Apply for Red Hat Linux
- Information Architects and Statisticians
- Developers looking to master Machine Learning and Predictive Analytics
- Big Data, Business Analysis, Business Intelligence, and Software Engineering Professionals
- Aspirants who are looking to work as Machine Learning Experts, Data Scientists, etc.
- Anyone who wants to learn machine learning, artificial intelligence, data visualization, data analytics, data structures, and algorithms (DSA).
Why AI With Machine Learning & Deep Learning Course ?
Scalability
The AI with Machine & Deep Learning Course ensures scalability by training experts to create AI models that can manage massive datasets and changing requirements. Certification in this course equips you to build flexible, scalable AI systems that effectively adjust to the changing demands of the industry.
Flexibility
The AI with Machine & Deep Learning Course offers unmatched flexibility, teaching adaptable AI models for diverse applications. Certification in this course enhances your ability to customize solutions across industries, making you proficient in handling dynamic and evolving AI-driven challenges.
Hybrid Capabilities
The AI with Machine & Deep Learning Course enhances hybrid capabilities by training learners to integrate AI with cloud and on-premise systems. Certification equips you to deploy flexible AI models across diverse platforms, making you versatile in meeting modern industry requirements.
Security and Compliance
The AI with Machine & Deep Learning Course emphasizes security and compliance, training professionals to ensure data protection, privacy, and adherence to regulations. Certification equips you with skills to deploy AI solutions safely, addressing both industry standards and evolving security threats.
Cost-Effectiveness
Enrolling in AI with Machine & Deep Learning Course Training is a cost-effective investment for future-proofing your career. This certification provides cutting-edge skills in AI, machine learning, and deep learning, boosting employability while offering high ROI. Maximize your potential today!
Innovation
AI with Machine & Deep Learning Course Training drives innovation by equipping you with advanced skills in AI technology. This certification opens doors to groundbreaking solutions, empowering you to lead in a rapidly evolving tech world. Stay ahead with innovative tools and cutting-edge training.
Global Certification
Red Hat Linux Fees in Bangalore
Online Classroom PREFERRED
- Live Classes from IIT Faculty & Industry Experts
- Certification from IHUB IIT Roorkee
- Career Services (Mock Interviews, Resume Preparation)
- Placement Assistance upon clearing PRT
- Dedicated Learning Manage
16 jul
TUE - FRI
07.00AM TO 09.00
AM LST (GMT +5:30)
Radical
20 jul
SAT - SUN
10.00AM TO 01.00
PM LST (GMT +5:30)
Radical
20 jul
SAT - SUN
08.00PM TO 11.00
PM LST (GMT +5:30)
Radical
Online Classroom PREFERRED
- Live Classes from IIT Faculty & Industry Experts
- Certification from IHUB IIT Roorkee
- Career Services (Mock Interviews, Resume Preparation)
- Placement Assistance upon clearing PRT
- Dedicated Learning Manage
career services
At Radical Technologies, we are committed to your success beyond the classroom. Our 100% Job Assistance program ensures that you are not only equipped with industry-relevant skills but also guided through the job placement process. With personalized resume building, interview preparation, and access to our extensive network of hiring partners, we help you take the next step confidently into your IT career. Join us and let your journey to a successful future begin with the right support.
At Radical Technologies, we ensure you’re ready to shine in any interview. Our comprehensive Interview Preparation program includes mock interviews, expert feedback, and tailored coaching sessions to build your confidence. Learn how to effectively communicate your skills, handle technical questions, and make a lasting impression on potential employers. With our guidance, you’ll walk into your interviews prepared and poised for success.
At Radical Technologies, we believe that a strong professional profile is key to standing out in the competitive IT industry. Our Profile Building services are designed to highlight your unique skills and experiences, crafting a resume and LinkedIn profile that resonate with employers. From tailored advice on showcasing your strengths to tips on optimizing your online presence, we provide the tools you need to make a lasting impression. Let us help you build a profile that opens doors to your dream career.
Red Hat Linux Course Projects
Infrastructure Provisioning
And Configuration Management
Implementing automated infrastructure provisioning and configuration management using Ansible. This may include setting up servers, networking devices, and other infrastructure components using playbooks and roles.
Applications Deployment
And Orchestration
Automating the deployment and orchestration of applications across development, testing, and production environments. This could involve deploying web servers, databases. middleware, and other application components using Ansible
Continuous Integration
And Continuous Deployment
Integrating Ansible into CI/CD pipelines to automate software. build, test, and deployment processes. This may include automating the creation of build artifacts, running tests, and deploying applications to various environments.