Radical Technologies
AI
★★★★★
(2,095 ratings)  50,000+ Student

AI WITH MACHINE & DEEP LEARNING

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.

RT
Radical Technologies
50,000+ English 60 hours Weekdays / Weekends Classroom / Online / Corporate
Online / Classroom

AI WITH MACHINE & DEEP LEARNING

IT Training Programme

Duration 60 hours
Batch Type Weekdays / Weekends
Mode of Training Classroom / Online / Corporate
Locations Pune, Bangalore, Kochi
Language English
Certification Globally Recognized
Call Now

100% placement assistance

Enquire Now

Get course fees, batch dates & a callback

We never share your details.

What you'll learn

Understand core concepts and architecture from the ground up
Get hands-on with the tools used by working professionals
Build real-world projects you can add to your portfolio
Learn industry best practices and coding standards
Practice with real datasets and real-world scenarios
Prepare for certification and technical interviews
Work on collaborative, team-based exercises
Apply performance tuning and optimization techniques
Understand how the technology fits into a larger ecosystem
Complete assignments reviewed by mentors

Programme Overview

18 sections covering the complete curriculum — a single, progressive learning arc.

60 hours
Training Duration
18
Core Modules
115
Total Lessons
4.8
Average Rating
50K+
Students Trained
01

Foundations & Core Concepts

Get hands-on with the fundamentals and architecture — the building blocks for everything that follows.

Fundamentals Architecture Setup
02

Hands-On Practical Training

Work through real exercises and assignments designed to mirror what you will do on the job.

Practicals Assignments Labs
03

Real-World Projects

Apply what you have learned to end-to-end projects that go straight into your portfolio.

Projects Portfolio Case Studies
04

Advanced Techniques

Go beyond the basics with advanced concepts, integrations and production-grade practices.

Advanced Integration Best Practices
05

Ecosystem Integration

Understand how this technology connects with the broader tools and platforms used in the industry.

Ecosystem Tools Platforms
06

Performance & Interview Prep

Master optimization techniques and prepare for the technical interview questions employers actually ask.

Optimization Interview Prep Certification

Who is this programme for?

Whether you're already writing code, working with data, or supporting applications today — this programme is built to take you into a AI role.

Software Developers

Engineers who want to add this skill set to their toolkit

Analysts & Consultants

Professionals moving into a more technical, hands-on role

IT Professionals

System admins and support engineers upskilling into a new domain

Fresh Graduates

CS/IT graduates aiming for a job-ready technical role

Course Curriculum

18 sections  •  115 lessons  •  60 hours

01 Introduction with Artificial Intelligence (Project – 1)
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.
02 ML and other related terms to AI (Project -1)
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?
03 A working example of AI and ML (Project – 1)
Project 1 – These simple tasks are to make you understand how AI and ML can find their applications in real life.
04 Python libraries for ML (Project – 1)
What are Libraries, packages and Modules?
What are top Python libraries for ML in Python?
05 Setting up Anaconda development environment (Project – 1)
Why choosing Anaconda development environment?
Setting up Anaconda development environment on Windows 10 PC.
Verifying proper installation of Anaconda environment.
06 Getting into core development of ML(Project – 1)
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
07 Different ML techniques (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.
What all ML techniques are there?
Evaluation methods of all ML techniques.
development
08 Developing complete project of ML (IRIS flower project) (Project – 2)
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)
09 Introduction of Ai with Deep Learning (Project – 3)
After completing these project, you have done and understood multiple complete projects of Machine Learning.
Installation
CPU Software Requirements
CPU Installation of PyTorch
PyTorch with GPU on AWS
PyTorch with GPU on Linux
PyTorch with GPU on MacOSX
 first ML program – development
10 PyTorch Fundamentals : Matrices (Project – 3)
Matrix Basics
Seed for Reproducibility
Torch to NumPy Bridge
NumPy to Torch Bridge
GPU and CPU Toggling
Basic Mathematical Tensor Operations
Summary of Matrices
11 Linear Regression with PyTorch (Project – 3)
Linear Regression Introduction
Linear Regression in PyTorch
Linear Regression From CPU to GPU in PyTorch
Summary of Linear Regression
12 Logistic Regression with PyTorch (Project – 3)
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
13 Feedforward Neural Network with PyTorch (Project – 3)
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
14 Convolutional Neural Network (CNN) with PyTorch (Project – 3)
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
15 Recurrent Neural Networks (RNN) (Project – 3)
Introduction to RNN
RNN in PyTorch
More RNN Models in PyTorch
RNN From CPU to GPU in PyTorch
Summary of RNN
16 Long Short-Term Memory Networks (LSTM) (Project – 3)
Introduction to LSTMs
LSTM Equations
LSTM in PyTorch
More LSTM Models in PyTorch
LSTM From CPU to GPU in PyTorch
Summary of LSTM
17 Deep Learning Projects (Project – 4)
 
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

Note : Depends upon Trainers above projects may vary

18 Machine Learning Projects (Project – 4)
 
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

Tools & Technologies

Every tool listed here is installed, configured and used in a hands-on lab session.

Core Tools

Hands-On Labs

Practical Environment

Industry-Standard Tools

Real-World Setup

Guided Exercises

Skill Building

Sample Datasets

Practice Material

Practice & Projects

Mini Projects

Applied Practice

Assignments

Mentor Reviewed

Doubt Sessions

Live Support

Career Readiness

Resume Building

Career Support

Mock Interviews

Interview Prep

Certification Prep

Global Recognition

Deployment & Delivery

Production Practices

Real-World Ready

Best Practices

Industry Standards

115+
Hands-On Lessons
18
Core Modules
60 hours
Training Duration
100%
Practical Training

You don't just learn AI WITH MACHINE & DEEP LEARNING. You ship it.

Three major projects, each mirroring how production teams actually work — from guided foundations to a portfolio-ready capstone.

PROJECT // 01

Guided Foundation Project

Requirement Analysis

Guided Implementation

Mentor Review

Iteration

Foundation Beginner

Apply the fundamentals in a structured, mentor-reviewed project

Take the core concepts from the first half of the curriculum and apply them to a realistic scenario, with guidance and feedback from your mentor at every step.

Structured project brief
Step-by-step implementation
Mentor feedback and review
Documented outcome
Stack Core Concepts Best Practices
PROJECT // 02

Applied Practice Project

Scenario Design

Independent Build

Testing & Validation

Peer Review

Applied Intermediate

Build a more independent project mirroring real production scenarios

Work through a project that combines multiple concepts from the curriculum, closer to how work is actually structured on the job — less hand-holding, more ownership.

End-to-end implementation
Testing and validation
Documentation
Peer/mentor review
Stack Applied Skills Testing
PROJECT // 03

Capstone Project

Planning

End-to-End Build

Review & Refinement

Presentation

Capstone Advanced

Take a project from requirements to a polished, portfolio-ready deliverable

Your final project — plan, build, test and present a complete solution using everything covered in the curriculum, reviewed by mentors before you graduate.

Complete working solution
Presentation-ready documentation
Mentor sign-off
Portfolio-ready deliverable
Stack Full Curriculum Portfolio

All 3 projects go directly into your portfolio & resume — reviewed by mentors before you graduate.

See Sample Project Reports

Upcoming Batches

Start Date Time Day Mode Enroll
19/09/2026 03:00 PM – 05:00 PM Weekend Online Enroll Now

Why Radical Technologies

Live Online Training
  • Highly practical oriented training
  • Installation support on your system
  • 24/7 Email and Phone support
  • 100% Placement Assistance
  • Global Certification Preparation
  • Trainer-Student Interactive Portal
  • Assignments and Projects by Mentors
Live Classroom Training
  • Weekend / Weekdays / Morning / Evening batches
  • 80:20 Practical and Theory ratio
  • Real-life Case Studies
  • Easy make-up for missed sessions
  • PSI | Kryterion | Redhat Test Centers
  • Lifetime Video Classroom Access (coming soon)
  • Resume Prep and Mock Interviews
Self-Paced Training
  • Learn 300+ courses at your own time
  • 50,000+ Satisfied Learners
  • Course Completion Certificate
  • Practical Labs available
  • Mentor Support available
  • Doubt Clearing Session available
  • 10% Discounted Global Certification

Like the Curriculum? Let's Get Started

Join 50,000+ students already enrolled at Radical Technologies

Enroll Now

Global Certification

Radical Technologies is the leading IT certification institute in Pune, offering globally recognized certifications across various domains. With expert trainers and comprehensive materials, we ensure students gain in-depth knowledge and hands-on experience to excel in their careers. Our certification programs are tailored to meet industry standards — from cloud technologies to data science — empowering individuals to stay ahead in the ever-evolving tech landscape.

Certificate of Completion

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 personalised 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.

Career Support

Course Completed? Need next steps?
Need Interview Supports?
Need Job Assistance?
Came from any other Institute?

Join our Brush-up Session & get support until you find a job!

Get Started

Radical Learning Eco-System

Exam Simulator

Cloud SandBox

Hands-on Cloud Lab

Developer Coding Ground

Student Reviews

4.8★
Average learner rating
50K+
Students trained
30+
Hiring companies alumni work at
100%
Placement assistance
4.8
★★★★★

Course Rating

★★★★★
85%
★★★★☆
12%
★★★☆☆
2%
★★☆☆☆
1%
★☆☆☆☆
0%
Studying AI at Radical Technologies was a game-changer for me. The hands-on projects and industry-aligned curriculum prepared me well for the competitive job market in Pune.
S Satisfied Student
I highly recommend Radical Technologies for anyone looking to dive into the world of AI. The instructors are top-notch, and the online courses are perfect for busy professionals in Pune.
S Satisfied Student
The AI certification course at Radical Technologies exceeded my expectations. I feel confident in my AI skills and am excited to apply them in my career here in Pune.
S Satisfied Student
Radical Technologies' AI courses are worth every penny. The comprehensive learning materials and supportive faculty made my learning journey in Pune both enriching and enjoyable.
S Satisfied Student
As a beginner in AI, I was initially intimidated, but Radical Technologies' beginner-friendly courses and supportive community made learning a breeze. Pune is lucky to have such a fantastic institute.
S Satisfied Student
The AI and ML courses at Radical Technologies are a must for anyone serious about a career in tech. I landed my dream job in Pune thanks to the skills I acquired here.
S Satisfied Student
Enrolling in Radical Technologies' AI course was the best decision I made for my career. The practical projects helped me build a strong portfolio that impressed employers in Pune.
S Satisfied Student
I can't thank Radical Technologies enough for the AI training. The course content was comprehensive, and the flexible schedule allowed me to balance my studies with work in Pune.
S Satisfied Student
Radical Technologies' AI and ML certification gave me the edge I needed to stand out in Pune's competitive job market. The skills I gained here are invaluable.
S Satisfied Student
The AI courses at Radical Technologies are second to none. The instructors are experts in their field, and the real-world projects helped me develop practical skills that are in high demand in Pune.
S Satisfied Student
I'm grateful for the support I received at Radical Technologies during my AI training. The faculty went above and beyond to ensure my success, and I'm now thriving in Pune's tech industry.
S Satisfied Student
Radical Technologies' AI course opened up new opportunities for me in Pune. The networking events and job placement assistance were invaluable in kickstarting my career.
S Satisfied Student
I never thought I'd enjoy learning AI, but Radical Technologies made it engaging and fun. I've recommended their courses to all my friends in Pune who are interested in tech.
S Satisfied Student
The AI certification from Radical Technologies helped me transition into a more lucrative career in Pune. The skills I acquired here are highly sought after by employers.
S Satisfied Student
Studying AI at Radical Technologies was an eye-opening experience. The practical, hands-on approach to learning set me up for success in Pune's tech industry.
S Satisfied Student
Radical Technologies' AI and ML courses are a cut above the rest. The curriculum is comprehensive, and the instructors are passionate about helping students succeed in Pune and beyond.
S Satisfied Student
I'm amazed at how much I learned in such a short time at Radical Technologies. The AI courses are intensive but rewarding, and I'm now confident in my abilities to tackle AI projects in Pune.
S Satisfied Student
Radical Technologies' AI course gave me the skills and confidence to pursue my dream job in Pune's thriving tech scene. I can't thank the instructors enough for their guidance and support.
S Satisfied Student
If you're looking for quality AI training in Pune, look no further than Radical Technologies. The courses are well-structured, and the instructors are committed to student success.
S Satisfied Student
Radical Technologies' AI certification helped me land multiple job offers in Pune. The practical skills I gained here set me apart from other candidates in the competitive job market.
S Satisfied Student
I'm amazed at how much I've grown professionally since enrolling in Radical Technologies' AI course. The knowledge and skills I gained here have opened doors for me in Pune's tech industry.
S Satisfied Student
The AI and ML courses at Radical Technologies are top-notch. The instructors are knowledgeable, the course materials are comprehensive, and the job placement assistance is a game-changer for anyone looking to start a career in Pune.
S Satisfied Student
I'm incredibly impressed with the quality of education I received at Radical Technologies. The AI courses are rigorous yet accessible, and the hands-on projects helped solidify my understanding of complex concepts. Pune is lucky to have such a fantastic institute.
S Satisfied Student
Radical Technologies' AI training gave me the confidence to pursue my passion for technology. The skills I acquired here have opened up countless opportunities for me in Pune's dynamic tech industry.
S Satisfied Student
I can't thank Radical Technologies enough for helping me kickstart my career in AI. The instructors' expertise, combined with the practical, hands-on approach to learning, made all the difference. Pune is home to some of the best tech talent, and I'm proud to be a part of it.
S Satisfied Student

Frequently Asked Questions

14 questions about the AI WITH MACHINE & DEEP LEARNING course.

01 What is the duration of the AI Course at Radical Technologies?
The duration of our AI Course varies depending on the specific program you choose. We offer flexible options ranging from intensive bootcamps to comprehensive diploma courses, with durations typically ranging from a few weeks to several months.
02 Do you offer AI courses for beginners at Radical Technologies?
Yes, we cater to learners of all levels, including beginners. Our AI courses are designed to accommodate individuals with no prior experience in the field, providing a solid foundation in key concepts before progressing to more advanced topics.
03 Are your AI courses online or in-person?
We offer both online and in-person AI courses to cater to diverse learning preferences. You can choose the format that best fits your schedule and learning style, whether you prefer the flexibility of online learning or the interactive experience of in-person classes.
04 What are the prerequisites for enrolling in your AI courses?
The prerequisites vary depending on the specific course you’re interested in. While some of our beginner-level courses may have no prerequisites, others may require basic knowledge of programming languages such as Python and familiarity with mathematical concepts like linear algebra and calculus.
05 Does Radical Technologies provide job placement assistance after completing the AI course?
Yes, we offer comprehensive job placement assistance to our students upon completion of the AI course. Our dedicated placement cell works closely with leading companies in the industry to connect our graduates with exciting job opportunities that match their skills and interests.
06 Can I access course materials and lectures after completing the AI course?
Yes, we provide lifetime access to course materials and recorded lectures for our students. This allows you to review the content at your own pace, revisit key concepts, and stay updated on the latest advancements in AI even after completing the course.
07 Are there any scholarships or financial aid options available for your AI courses?
Yes, we offer various scholarship and financial aid options to eligible students based on merit, financial need, and other criteria. You can inquire with our admissions team to learn more about the available opportunities and how to apply.
08 Do you provide hands-on projects as part of the AI courses?
Absolutely! Hands-on projects are an integral part of our AI courses. We believe in learning by doing, and our curriculum includes a range of practical projects that allow you to apply the concepts and techniques you’ve learned to real-world scenarios.
09 Are the AI courses at Radical Technologies industry-aligned?
Yes, our AI courses are carefully crafted in collaboration with industry experts to ensure they are aligned with the latest industry trends, technologies, and best practices. This equips you with the skills and knowledge demanded by employers in the rapidly evolving field of AI.
10 What sets Radical Technologies' AI courses apart from other institutes?
Our AI courses stand out for their comprehensive curriculum, hands-on learning approach, expert faculty, industry relevance, flexible learning options, and robust job placement assistance. We prioritize quality education and strive to empower our students for success in their AI careers.
11 Can I enroll in multiple AI courses simultaneously?
While it’s possible to enroll in multiple courses, we recommend focusing on one course at a time to ensure you can fully dedicate yourself to learning and mastering the material. Our advisors can provide personalized guidance on course selection based on your goals and interests.
12 Are there any networking opportunities available for students enrolled in the AI courses?
Yes, we regularly organize networking events, workshops, guest lectures, and industry meetups for our students to connect with peers, mentors, and professionals in the AI community. These events provide valuable opportunities for collaboration, knowledge sharing, and career advancement.
13 Is there a demo or trial period for the AI courses before enrollment?
Yes, we offer demo sessions or trial periods for select AI courses to give you a glimpse into our teaching methodology, course structure, and learning environment. This allows you to make an informed decision before committing to the full course.
14 Do you provide mentorship support during the AI courses?
Absolutely! Mentorship support is an integral part of our AI courses. Our experienced faculty members are dedicated to providing personalized guidance, feedback, and support to help you navigate the course materials, projects, and challenges effectively.

AI WITH MACHINE & DEEP LEARNING Interview Questions

10 questions commonly asked in AI WITH MACHINE & DEEP LEARNING interviews.

  1. 01 How do you differentiate between Artificial Intelligence, Machine Learning, and Deep Learning?
  2. 02 Can you explain the concept of supervised learning and provide an example of its application in real-world scenarios?
  3. 03 What are some common techniques used for feature selection in Machine Learning?
  4. 04 How do you handle overfitting in a Machine Learning model?
  5. 05 Can you discuss the difference between batch gradient descent and stochastic gradient descent?
  6. 06 What is the role of activation functions in Deep Learning neural networks?
  7. 07 How do convolutional neural networks (CNNs) differ from recurrent neural networks (RNNs)?
  8. 08 Can you explain the concept of transfer learning and its significance in Deep Learning?
  9. 09 How do you evaluate the performance of a Machine Learning model?
  10. 10 What are some common regularization techniques used in Deep Learning?

AI With Machine Learning & Deep Learning Course Certification with Training in Pune

At Radical Technologies, we don’t just offer AI training – we provide an immersive journey into the world of Artificial Intelligence and Machine Learning. Situated in the vibrant city of Pune, we’ve earned the trust of aspiring professionals and established experts alike as the premier institute for cutting-edge technology education.

What sets us apart is our comprehensive approach to AI education. Our courses cover a wide spectrum, from foundational principles to advanced applications, ensuring that learners of all levels find the perfect fit for their aspirations. Whether you’re stepping into the realm of AI for the first time or seeking to refine your skills, our expert instructors are dedicated to guiding you every step of the way.

Why choose Radical Technologies? It’s simple. We offer:

At Radical Technologies, we don’t just teach AI – we empower you to shape the future with intelligence and innovation. Come, embark on your AI journey with us and unleash your potential in the dynamic world of Artificial Intelligence and Machine Learning.

Our Alumni Work At

Accenture
Amazon
Avisys Services
Birlasoft
Capgemini
Catchpoint
Cognizant
Darwish Cybertech
DataVision
GiBots
Google
Groots Software
HCL Technologies
IBM
Info Gain
Infosys
ITCube Solutions
KPIT
L&T Infotech
Microsoft
Mphasis
mPhatek
Oracle
Quantbit Technologies
Saina Cloud
TCS
Tech Mahindra
Wipro
YASH Technologies
Zensar Technologies
Accenture
Amazon
Avisys Services
Birlasoft
Capgemini
Catchpoint
Cognizant
Darwish Cybertech
DataVision
GiBots
Google
Groots Software
HCL Technologies
IBM
Info Gain
Infosys
ITCube Solutions
KPIT
L&T Infotech
Microsoft
Mphasis
mPhatek
Oracle
Quantbit Technologies
Saina Cloud
TCS
Tech Mahindra
Wipro
YASH Technologies
Zensar Technologies

Get a Call Back from Our Career Assistance Team

Request Callback