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Start Date	Time	Days	Mode	Book Seat
16/11/2024	12:00 AM	Weekend	Online	Enroll Now

AI WITH MACHINE & DEEP LEARNING TRAINING IN PUNE | ONLINE

Duration of Training : 60 hrs

Batch type : Weekdays/Weekends

Mode of Training : Classroom/Online/Corporate Training

Ai with Machine & Deep Learning Training & Certification in Pune

Highly Experienced Certified Trainer with 10+ yrs Exp. in Industry

Realtime Projects, Scenarios & Assignments

Why Radical Technologies

100% Placement Guarantee for the Right Candidate

10+ Years Real Time Experienced Trainers

Learn from Industry Experts, Hands-on labs

Flexible Options: online, instructor-led, self-paced

14+ Years of Industry Recognitions

1 Lakh+ Students Trained

50,000+ Students Placed

Guaranteed 5+ Interview Calls

Top MNCs - Associated with 800+ Recruiters

Free Internship Project & Certification

Monthly Job Fair - Virtual as well as Physica

5000+ Reviews & Ratings

COURSE CONTENT :

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

Student Stories and Reviews :

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.

Radical 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.

Radical 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.

Radical 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.

Radical 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.

Radical 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.

Radical 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.

Radical 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.

Radical 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.

Radical 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.

Radical 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.

Radical 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.

Radical 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.

Radical 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.

Radical 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.

Radical 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.

Radical 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.

Radical 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.

Radical 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.

Radical 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.

Radical 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.

Radical 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.

Radical 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.

Radical 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.

Radical 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.

Radical Student

FAQs :

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

Are the AI courses at Radical Technologies recognized internationally?

While our primary focus is on delivering high-quality education and practical skills, many of our courses are recognized internationally for their relevance and rigor. Additionally, our industry-recognized certifications add value to your credentials and enhance your career prospects globally.

Can I switch to a different AI course if I change my specialization interests?

Yes, we understand that your interests and career goals may evolve over time. If you wish to switch to a different AI course within our offerings, you can discuss your options with our academic advisors, who will guide you through the process and ensure a smooth transition.

Are there any group discounts available for enrolling in AI courses with friends or colleagues?

Yes, we offer group discounts for individuals enrolling in AI courses together with friends, colleagues, or as part of a corporate group. This encourages collaborative learning and provides additional incentives for group enrollment.

Do you offer online forums or communities for students to interact outside of class?

Yes, we provide online forums, discussion boards, and dedicated communities for our students to interact, collaborate, and engage with peers and instructors outside of class hours. These platforms facilitate ongoing learning, support, and knowledge sharing among our student community.

Can I request personalized tutoring or additional support if I'm struggling with certain concepts in the AI course?

Absolutely! We offer personalized tutoring, additional support sessions, and one-on-one consultations for students who require extra assistance or clarification on specific concepts in the AI course. Our goal is to ensure every student receives the support they need to succeed.

Are there any opportunities for advanced specialization or further study after completing the AI course?

Yes, after completing the AI course, you may have the opportunity to pursue advanced specialization tracks, participate in research projects, or continue your education with higher-level courses or certifications offered by Radical Technologies or our partner institutions. We provide guidance and support for your continued learning journey.

Most Probable Interview Questions for Artificial Intelligence AI with Machine Learning & Deep Learning

Interview Question No. 1 for Artificial Intelligence AI with Machine Learning & Deep Learning : How do you differentiate between Artificial Intelligence, Machine Learning, and Deep Learning?
Interview Question No. 2 for Artificial Intelligence AI with Machine Learning & Deep Learning : Can you explain the concept of supervised learning and provide an example of its application in real-world scenarios?
Interview Question No. 3 for Artificial Intelligence AI with Machine Learning & Deep Learning : What are some common techniques used for feature selection in Machine Learning?
Interview Question No. 4 for Artificial Intelligence AI with Machine Learning & Deep Learning : How do you handle overfitting in a Machine Learning model?
Interview Question No. 5 for Artificial Intelligence AI with Machine Learning & Deep Learning : Can you discuss the difference between batch gradient descent and stochastic gradient descent?
Interview Question No. 6 for Artificial Intelligence AI with Machine Learning & Deep Learning : What is the role of activation functions in Deep Learning neural networks?
Interview Question No. 7 for Artificial Intelligence AI with Machine Learning & Deep Learning : How do convolutional neural networks (CNNs) differ from recurrent neural networks (RNNs)?
Interview Question No. 8 for Artificial Intelligence AI with Machine Learning & Deep Learning : Can you explain the concept of transfer learning and its significance in Deep Learning?
Interview Question No. 9 for Artificial Intelligence AI with Machine Learning & Deep Learning : What are some common regularization techniques used in Deep Learning?
Interview Question No. 10 for Artificial Intelligence AI with Machine Learning & Deep Learning : How do you evaluate the performance of a Machine Learning model?
Interview Question No. 11 for Artificial Intelligence AI with Machine Learning & Deep Learning : Can you discuss the challenges associated with training deep neural networks?
Interview Question No. 12 for Artificial Intelligence AI with Machine Learning & Deep Learning : What is the importance of hyperparameter tuning in Machine Learning?
Interview Question No. 13 for Artificial Intelligence AI with Machine Learning & Deep Learning : Can you explain the concept of backpropagation and its role in training neural networks?
Interview Question No. 14 for Artificial Intelligence AI with Machine Learning & Deep Learning : How do you address class imbalance in a classification problem?
Interview Question No. 15 for Artificial Intelligence AI with Machine Learning & Deep Learning : What are some popular frameworks and libraries used for implementing Machine Learning and Deep Learning models?
Interview Question No. 16 for Artificial Intelligence AI with Machine Learning & Deep Learning : Can you discuss the concept of unsupervised learning and provide examples of algorithms used in this context?
Interview Question No. 17 for Artificial Intelligence AI with Machine Learning & Deep Learning : What are the advantages and disadvantages of using ensemble methods in Machine Learning?
Interview Question No. 18 for Artificial Intelligence AI with Machine Learning & Deep Learning : How do you preprocess textual data before feeding it into a Machine Learning model?
Interview Question No. 19 for Artificial Intelligence AI with Machine Learning & Deep Learning : Can you explain the concept of generative adversarial networks (GANs) and their applications?
Interview Question No. 20 for Artificial Intelligence AI with Machine Learning & Deep Learning : How do you handle missing data in a dataset before applying Machine Learning algorithms?

Learn Artificial Intelligence AI Course with Machine Learning & Deep Learning – Course in Pune with Training, Certification & Guaranteed Job Placement Assistance!

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:

Expertise: Our faculty comprises seasoned professionals with extensive industry experience, ensuring that you learn from the best in the field.
Hands-on Learning: Theory meets practice in our state-of-the-art labs and real-world projects, allowing you to apply theoretical concepts to practical scenarios.
Customized Learning Paths: We understand that each learner is unique. That’s why we offer tailored learning paths that align with your goals and pace.
Flexibility: Whether you prefer in-person classes or the convenience of online learning, we provide flexible options to accommodate your schedule and preferences.
Industry-Relevant Curriculum: Stay ahead of the curve with our constantly updated curriculum, designed in collaboration with industry experts to reflect the latest trends and technologies.
Certification: Earn industry-recognized certifications that validate your skills and enhance your career prospects in the competitive job market.
Supportive Community: Join a vibrant community of learners, mentors, and industry professionals who share your passion for AI and ML, fostering collaboration and networking opportunities.

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.

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