Artificial Intelligence Course

Deep Learning Models Imitate Human Intelligence To Solve The Unsolvable.

Languages and Tools covered

Python tool
OpenCV tool
MySQL tool
Keras tool
TensorFlow tool
Scikit-learn tool

Online

₹55,000/ *

  • Online Training Program

Offline

₹65,000/ *

  • Classroom Training Program
  • 14 Weeks, 42 Sessions Program
  • 3 Project
  • Hybrid Learning Model
  • Pick your own project
  • Project Assistance
  • Free Career Guidance
  • Regular or Weekend Batches

Get FREE 1:1 Counselling

By submitting this form, you consent to our Terms of Use & Privacy Policy and to be contacted by us via Email/Call/Whatsapp/SMS.

Artificial Intelligence

This course covers the fundamental and advanced concepts in Machine Learning and Deep Neural Networks. It includes hands-on projects, essential programming skills, and practical applications of AI technologies.

Introduction & Essentials

+

  • Introduction to Artificial Intelligence
  • History and Evolution of AI
  • Key Concepts and Terminologies in AI
  • Ethics and Challenges in AI

Python Language

+

  • Introduction to Python Programming
  • Python Data Structures
  • Libraries for AI: NumPy, Pandas, Matplotlib
  • Writing and Testing Python Code

Machine Learning

+

  • Supervised and Unsupervised Learning
  • Regression and Classification Algorithms
  • Clustering and Dimensionality Reduction
  • Evaluation Metrics and Model Selection

Introduction to Neural Networks

+

  • Understanding Neural Networks
  • Biological vs Artificial Neurons
  • Activation Functions
  • Training and Optimization Techniques

Artificial Neural Networks (ANN)

+

  • Architecture of ANN
  • Forward and Backward Propagation
  • Loss Functions and Optimization
  • Regularization and Generalization

Convolutional Neural Networks (CNN)

+

  • Introduction to CNN
  • Convolutional and Pooling Layers
  • Image Classification with CNN
  • Advanced CNN Architectures (e.g., ResNet, VGG)

In-house Project

+

  • Project Planning and Proposal
  • Data Collection and Preprocessing
  • Model Development and Testing
  • Project Documentation and Presentation

Recurrent Neural Networks (RNN)

+

  • Introduction to RNN
  • Sequence Modeling and Time Series Prediction
  • LSTM and GRU Architectures
  • Applications of RNN in NLP

Applications of Deep Learning

+

  • Deep Learning in Computer Vision
  • Deep Learning in Natural Language Processing
  • Generative Models (GANs, VAEs)
  • Case Studies of Industry Applications

Cloud Deployment Techniques

+

  • Introduction to Cloud Computing
  • Deploying AI Models on AWS/GCP/Azure
  • Serverless Architectures for AI
  • Monitoring and Scaling AI Applications

Real-time Project(s)

+

  • End-to-End AI Project Implementation
  • Collaborative Project Development
  • Real-time Data Processing and Analysis
  • Project Deployment and Maintenance

Hackathon - Open Challenge

+

  • Participating in AI Hackathons
  • Problem-Solving Strategies
  • Collaborative Coding and Development
  • Presenting AI Solutions to a Jury

Curriculum

The Curriculum supports step-by-step transformation while building confidence to handle various domain problems.

14 Weeks

Learning content

10+

Languages & Tools

Download Curriculum

WhyArtificial Intelligence

Artificial Intelligence (AI) enables machines to learn from experience, adapt to new inputs, and perform tasks that typically require human intelligence. With applications in deep learning, computer vision, and natural language processing, AI is transforming industries and creating vast career opportunities.

Machine Learning & Deep Learning:
Explore how AI relies on machine learning and deep learning to process large datasets, recognize patterns, and make informed decisions.
Computer Vision & NLP:
Understand the role of computer vision and natural language processing (NLP) in enabling machines to interpret and interact with the world.
Real-World Applications:
Discover AI's real-life applications, from facial recognition and recommendation engines to medical diagnostics, driving innovation across industries.
Data Science

Course Information

The Artificial Intelligence course deals with various deep learning concepts such as ANN, CNN, and RNN which has direct applications in real time. This job-readiness course prepares students with practical knowledge so that they would solve real-time problems using the techniques they have learned as part of the course. Post completion of the course learners could independently work on building Deep Learning. You would be offered a chance to secure an internship with relevant industries and participate in our hackathons.

All-in-one Artificial Intelligence Program

Our Artificial Intelligence course is designed to prepare you for the high-demand AI industry. This program offers a comprehensive learning experience, focusing on a project-based approach and knowledge-skill pedagogy. With a hybrid learning model and real-world internships, you’ll be equipped with the skills necessary to excel in AI.

High-end Industry-ready program
Our curriculum is designed to meet the rigorous demands of the AI industry, ensuring you are fully prepared for a career in this field.
Project Based Approach
Learn through hands-on projects that allow you to apply theoretical knowledge to practical scenarios, ensuring you develop real-world skills.
Hybrid Learning Model
Enjoy the flexibility of both online and offline learning, allowing you to tailor your education to fit your schedule.
Minimum Batch Size
Small batch sizes ensure you receive personalized attention, helping you grasp complex AI concepts more effectively.
Job Preparation with Profile building
Prepare for the job market with dedicated support in building your professional profile, including resume crafting, portfolio creation, and mock interviews.
Internships and projects
Gain invaluable experience through internships and real-world projects, giving you a competitive edge in the AI job market.
Scholarship Assessments
Access scholarship opportunities to help reduce the cost of your education and make advanced AI learning more affordable.
Knowledge-Skill Pedagogy
Our teaching methodology bridges the gap between theoretical knowledge and practical skills, ensuring you can effectively apply what you learn in real-world situations.

Course Highlights

If you're preparing to enhance your skills and knowledge. Our courses emphasize foundational learning, practical implementation through projects, and real-world experience, ensuring you are well-prepared for the challenges of your chosen field. From engaging hybrid learning sessions to hands-on internships, our comprehensive approach is designed to build your confidence and transform your expertise into career-ready skills.

Prepare

Foundation courses designed to bring you up to the speed, irrespective of your background.

Learn

Hybrid Learning to engage learners even before the class for effective knowledge transfer.

Implement

Project-Based Learning for confidence building and transferring knowledge into skills.

Experience

Internships & Job Readiness to give real-time experience and prepare for interviews.

Artificial Intelligence Certificate

JOBS FOR A AI Practioner

Being an AI-Practioner is a coveted job where the individual deal with solving business problems using Data, Computer Vision, and Natural Language Processing methods. With the advent of pre-trained or transfer learning almost every technical organization is trying to incorporate AI solutions as part of their products or services. This increased the demand for this course and looks promising for the next decade. However, this field demands a lot of experience and versatility to develop the right solutions.

statsstatsstats

Contact us

Get in Touch With Us

Phone number
8977944952/53
Email
hello@cedlearn.com
DELHI
HYDERABAD
KOCHI
BANGLORE

Business Hours :

Monday - Saturday: 9:00a.m to 8:00p.m

Sunday: With Appointment Only

Send a Message

Write to us. We would catch up with you as soon as we receive your message

Optional
Max. 500 characters

scholarship & discounts

We believe in encouraging talented learners with Scholarships to avoid the learning hurdles due to financial limitations. However scholarships must be awarded based on the merit and hence our assessments. We would be glad to assess learners using our multi-dimensional assessment to identify the dormant potential and thus encourage them through the learning process by offering financial benefits. To know more you could contact us or register for the online assessment. If you are not clear on the career path in the field of AI, please feel free to meet our career counsellor. We would be glad to guide you through the career options to draft a personalized career path.