AI and Machine Learning

Kickstart your career with AI and Machine Learning

What’s Inside the AI and Machine Learning?

The AI and Machine Learning internship is a unique opportunity for students to explore the world of intelligent systems and algorithms that power today’s technology. Throughout the program, you’ll learn the foundational concepts of AI and ML, including data analysis, model training, and real-world applications of these skills. This hands-on experience is designed to give you practical knowledge, covering everything from understanding and cleaning data to building machine learning models and applying AI algorithms. With a focus on real-world projects, this internship will equip you with the essential skills needed to pursue a career in the rapidly growing field of artificial intelligence.

Benifits of this Internship

1.Hands-on Experience: Gain real-world knowledge by working on industry-relevant projects, preparing you for the demands of AI-related roles.

2.Skill Development: Build and improve your programming and analytical skills, including proficiency in Python and data handling.

3.Career Preparation: Learn directly from experts in AI/ML, helping you stand out in the job market with experience in sought-after skills.

4.Problem-Solving Abilities: Enhance your ability to tackle complex problems, making you a valuable asset in any tech-driven role.

Internship Provide

Certification
Professional Guide
24/7 Support
Real-time project Experience
Free Webinars

Recent Posts

Full Stack Development Frontend Development AI & Machine Learning

Who can Apply?

Students and Recent Graduates
one hour of focused work per day
7-10 hours of work per week
Regular communication with Team
Skills and Tools

You Learn in this Internship

Follow this RoadMap

To make more efficiency of your Internship

1

Python Programming

Duration: 4 weeks

Python Basics:

  • Variables, Loops, Functions
  • Data Structures (Lists, Sets, Dictionaries) & Algorithms
  • Introduction to Object-Oriented Programming

Tools: Jupyter, PyCharm

2

Introduction to Machine Learning

Duration: 4 weeks

Supervised Learning:
  • Linear Regression, Classification
  • Unsupervised Learning: Clustering
Hands-on Project:

Small machine learning task

Tools: Scikit-learn, Pandas, NumPy

3

Artificial Neural Networks (ANNs)

Duration: 4 weeks

Neural Network Basics:

  • Neurons, Activation Functions
  • Backpropagation and Training ANNs
  • Implementing a Simple ANN in TensorFlow/Keras

Tools: TensorFlow, Keras, Google Colab

4

Machine Learning Convolutional Neural Networks

Duration: 4 weeks

  • Introduction to CNNs and Image Classification
  • Implementing CNNs in TensorFlow or PyTorch
Tools: TensorFlow, PyTorch

5

Recurrent Neural Networks (RNNs)

Duration: 4 weeks

  • Understanding Sequential Data
  • Implementing LSTM networks in TensorFlow or PyTorchData Structures (Lists, Sets, Dictionaries) & Algorithms

Tools: TensorFlow, PyTorch

6

Model Deployment Basics

Duration: 4 weeks

  • Introduction to Model Deployment
  • Deploying Models using TensorFlow Serving or ONNX
  • Containerization with Docker
Tools: Docker, TensorFlow Serving, ONNX

Outcomes of this Internship

Acquire foundational and advanced knowledge in AI and ML concepts.

Gain practical skills that can lead to roles such as AI Engineer, Data Scientist, or Machine Learning Specialist.

Develop a strong understanding of how to create and apply machine learning models to real-world problems.

Build a project portfolio to showcase your skills and experience to future employers.

Apply Now