Python for AI

Python for AI

Batch Details

Trainer NameMr. Rahul
Trainer Experience15+ Years
Next Batch Date10th February 2024 (5:00 PM IST)
Training ModesOnline Training (Instructor Led)
Course Duration45 Days
Call us at+91 9052144555
Email Us
Demo Class Details Click here to chat on WhatsApp

Python for AI

Course Topics

1.1 Overview of Artificial Intelligence

  • Definition and Scope
  • Historical Perspective

1.2 Introduction to Python for AI

  • Basic Python Syntax
  • Data Types and Variables
  • Control Flow (if statements, loops)

2.1 Understanding Machine Learning

  • Types of Machine Learning (Supervised, Unsupervised, Reinforcement Learning)
  • Applications of Machine Learning

2.2 Python Libraries for Machine Learning

  • NumPy and Pandas for Data Manipulation
  • Scikit-Learn for Machine Learning Algorithms

3.1 Data Cleaning and Handling Missing Values

  • Imputation techniques
  • Outlier detection and removal

3.2 Feature Scaling and Normalization

  • Standardization and Min-Max Scaling

3.3 Feature Engineering

  • Creating new features
  • Handling categorical variables

4.1 Linear Regression

  • Simple and Multiple Regression
  • Evaluation Metrics

4.2 Classification Algorithms

  • Logistic Regression
  • Decision Trees and Random Forests
  • Support Vector Machines

4.3 Ensemble Learning

  • Bagging and Boosting

5.1 Clustering Algorithms

  • K-Means Clustering
  • Hierarchical Clustering

5.2 Dimensionality Reduction

  • Principal Component Analysis (PCA)
  • t-Distributed Stochastic Neighbor Embedding (t-SNE)

6.1 Basics of Neural Networks

  • Perceptrons and Activation Functions
  • Feedforward and Backpropagation

6.2 Deep Learning Frameworks

  • Introduction to TensorFlow and PyTorch

7.1 Understanding Convolutional Layers

  • Image Recognition
  • Transfer Learning

8.1 Introduction to Sequence Models

  • Applications in Natural Language Processing

9.1 Tokenization and Text Processing

  • Sentiment Analysis
  • Named Entity Recognition

10.1 Basics of Reinforcement Learning

– Markov Decision Processes

– learning and Policy Gradient Methods

11.1 AI in Industry

– Healthcare, Finance, Autonomous Vehicles, etc.

11.2 Capstone Project

– Apply learned concepts to solve a real-world problem

12.1 Bias and Fairness

– Ethical concerns in AI development

12.2 Privacy and Security

– Safeguarding sensitive information

13.1 Current Research and Advancements

  • GANs, AutoML, Explainable AI

13.2 Continuous Learning and Resources

Python for AI

Key Points

Expert Faculty

Brolly AI Institute in Hyderabad boasts a team of seasoned professionals with extensive expertise in both Python programming and Artificial Intelligence, ensuring high-quality training.

Comprehensive Curriculum

The Python for AI training program covers a wide range of topics, including fundamental Python concepts, AI algorithms, and practical applications, providing students with a well-rounded education.

Hands-on Projects

Students are engaged in hands-on projects that allow them to apply theoretical knowledge to real-world scenarios, fostering practical skills crucial for success in the field of AI.

Industry-Relevant Content

The curriculum is regularly updated to align with the latest industry trends and technological advancements, ensuring that students are equipped with the most relevant skills sought by employers.

Flexible Learning Options

Brolly AI Institute offers flexible learning options, including both in-person and online classes, catering to diverse student needs and preferences.

Career Guidance

Brolly AI Institute goes beyond training by offering career guidance services, including resume building, interview preparation, and job placement assistance to help students kickstart their careers in AI.

Regular Assessments

To track the progress of each student, the institute conducts regular assessments, quizzes, and coding challenges, providing valuable feedback and identifying areas for improvement.


Upon successful completion of the Python for AI training, students receive a recognized certification, validating their proficiency in both Python programming and AI concepts, which can significantly boost their credibility in the job market.

What is Python for AI?

Python for AI


Python Ai

Python for AI

Course Outline


The Python for AI training at Brolly AI Institute begins with an introduction to Python programming, covering basic syntax and data types.


Students will progress to understanding core concepts of machine learning, including supervised and unsupervised learning techniques.


The course delves into the implementation of neural networks, exploring their architecture and applications in artificial intelligence.


Practical coding exercises and projects are incorporated to reinforce the theoretical concepts learned during the training.


Students will gain proficiency in using popular Python libraries such as NumPy, Pandas, and Matplotlib for data manipulation and visualization.


The curriculum includes in-depth coverage of natural language processing (NLP) and computer vision, showcasing Python’s role in these AI domains.


Advanced topics like reinforcement learning and deep learning frameworks like TensorFlow and PyTorch are introduced, expanding students’ expertise.


The course concludes with a comprehensive overview of deploying AI models, preparing students for practical applications in the industry.

Python for AI

Couse Overview

python for ai

The Python for AI training program at Brolly AI Institute in Hyderabad provides a comprehensive learning experience for individuals aspiring to delve into the dynamic field of artificial intelligence. The course begins with a solid foundation in Python programming, ensuring that participants are well-versed in the language’s syntax and capabilities. As the training progresses, students explore essential machine-learning concepts, gaining hands-on experience through practical projects and coding exercises. The course further delves into the intricacies of popular Python libraries such as NumPy, Pandas, and Matplotlib, empowering students to manipulate and visualize data effectively.

Participants also gain insights into advanced AI domains like reinforcement learning and deep learning, with a spotlight on prominent frameworks like TensorFlow and PyTorch. The program concludes with a comprehensive overview of deploying AI models, preparing graduates to apply their skills in real-world scenarios. Throughout the training, Brolly AI Institute emphasizes a collaborative and interactive learning environment, ensuring that students not only grasp the theoretical concepts of Python for AI but also acquire the practical skills essential for success in the evolving AI landscape.

Modes Of Training

Classroom Training

Online Training

Corporate Training

Python for AI

Career Opportunities


Machine Learning Engineer: Design and implement machine learning models using Python to solve complex problems and make data-driven decisions.


Data Scientist: Utilize Python for AI to analyze large datasets, extract meaningful insights, and develop predictive models for business intelligence.


Artificial Intelligence Developer: Develop AI applications and systems using Python, focusing on natural language processing, computer vision, and other AI domains.


Deep Learning Engineer: Specialize in building and optimizing deep neural networks for tasks such as image recognition, speech processing, and language translation using Python frameworks like TensorFlow or PyTorch.


Computer Vision Engineer: Leverage Python to develop algorithms and applications that enable computers to interpret visual information, enabling technologies like facial recognition and object detection.


Natural Language Processing (NLP) Engineer: Apply Python to create algorithms and models that understand, interpret, and generate human language, enhancing applications like chatbots and language translation.


AI Research Scientist: Conduct research to advance the field of AI, utilizing Python for prototyping, testing, and implementing novel algorithms.


AI Consultant: Provide expertise to businesses on implementing AI solutions, including assessing needs, recommending strategies, and overseeing the development of AI projects using Python.


Automation Engineer: Use Python for AI to design and implement automated systems, optimizing processes through the integration of artificial intelligence and machine learning.


Quantitative Analyst: Employ Python for financial modeling, risk assessment, and algorithmic trading strategies, applying AI techniques to analyze market trends and make data-driven investment decisions.

Python for AI


The Python for AI certification offered by Brolly AI Institute holds significant importance in the rapidly evolving field of artificial intelligence. This certification not only validates a learner’s proficiency in Python programming but also signifies their expertise in applying Python to build AI solutions. As Python continues to be a dominant language in the AI community, the certification from Brolly AI Institute serves as a recognized credential, enhancing an individual’s credibility and employability in the competitive job market. 

Note: There are no official certifications

Python for AI


Brolly AI Institute's Python for AI training was a turning point my career. The hands-on projects and expert guidance helped me seamlessly transition into the role of a data scientist. The practical focus of the curriculum and the comprehensive coverage of Python's applications in AI make this training truly invaluable.
I highly recommend Brolly AI Institute's Python for AI training. The engaging sessions, real-world projects, and in-depth coverage of machine learning concepts provided me with the skills needed for my role as a machine learning engineer. The institute's commitment to staying current with industry trends sets it apart.
Enrolling in Brolly AI Institute's Python for AI program was a career-defining decision. The curriculum's focus on AI development using Python frameworks like TensorFlow expanded my skill set significantly. The institute's commitment to practical learning ensures that graduates are industry-ready.
Brolly AI Institute's Python for AI training exceeded my expectations. The deep dive into deep learning and the hands-on experience with frameworks like PyTorch were immensely valuable. The supportive environment and access to industry experts make this training a standout choice for anyone passionate about deep learning.
Priya G
The Python for AI training at Brolly AI Institute provided a solid foundation for my career in natural language processing. The curriculum's focus on NLP, coupled with practical projects, equipped me with the skills needed to contribute meaningfully in the rapidly evolving field of AI. Highly recommended!
Rahul B
Choosing Brolly AI Institute for Python for AI training was instrumental in my journey towards becoming an AI researcher. The program's emphasis on research-oriented projects, combined with access to cutting-edge resources, has been invaluable in shaping my understanding of AI concepts. I'm grateful for the comprehensive and forward-thinking approach of the institute.

Python for AI


Versatility and Popularity

Learning Python for AI provides a versatile skill set, as Python is widely used in the AI community, making it easier to find resources, libraries, and support.

Increased Employability

Having Python for AI skills enhances employability, as many employers seek professionals proficient in Python for roles ranging from machine learning engineers to data scientists and AI developers.

Ease of Learning

Python's simple syntax and readability make it an ideal language for beginners, ensuring a smoother learning curve for individuals entering the AI field.

Rich Ecosystem

Python boasts a rich ecosystem of libraries and frameworks, such as TensorFlow and PyTorch, streamlining the development of AI applications and minimizing the need to build solutions from scratch.

Industry Relevance

Python is the go-to language for many AI applications, ensuring that individuals with Python for AI training are equipped with skills directly applicable to real-world industry scenarios.

Community Support

The large and active Python community offers a wealth of resources, forums, and collaborative platforms, providing continuous learning and networking opportunities for aspiring AI professionals.

Python for AI

Market Trend


Python for AI is witnessing a rising demand in the job market, with employers seeking professionals proficient in the language for various AI roles.


The versatility of Python and its extensive use in AI development contribute to its consistent popularity among both developers and organizations.


Many cutting-edge AI frameworks, including TensorFlow and PyTorch, predominantly use Python, reinforcing its role as a key language in the AI ecosystem.


The market trend shows an increasing preference for candidates with Python for AI skills, making it a valuable asset for career growth in the tech industry.


Python’s readability and simplicity contribute to its widespread adoption, facilitating collaboration and code maintenance in AI projects.


The continuous development of Python libraries tailored for AI applications reflects the language’s adaptability to evolving industry needs.


As AI continues to grow in various industries, Python’s role as a primary language for AI development is likely to strengthen further.


The market trend underscores the importance of staying updated with the latest Python for AI advancements to remain competitive and relevant in the dynamic tech landscape.


No, Python is known for its simplicity and readability, making it a great choice for beginners in AI. The course at Brolly AI Institute is designed to help you grasp Python easily.

Our course is designed to provide hands-on experience and practical knowledge in AI using Python. We focus on real-world applications to ensure you are well-prepared for the industry.

No, the course is suitable for beginners. Our instructors will guide you step-by-step, starting from the basics of Python and gradually progressing to AI concepts.

The duration of the course is around 2-3 months, but it is structured to cover essential Python and AI concepts thoroughly. You can check our course details for specific duration information.

Yes, all course materials and resources will be available online for easy access. We want to ensure that you can study at your own pace and convenience.

Our instructors are dedicated to helping you succeed. You can expect regular assistance through live sessions, discussion forums, and personalized feedback on your assignments.

Python training at Brolly AI  is at an affordable price. For further queries contact : 905 2144555 or  Email us at

Yes, we understand the importance of flexibility. The course is designed to accommodate individuals with busy schedules, allowing you to learn AI with Python at your own pace.

No, we provide access to all necessary software and tools as part of the course package. You won’t need to make any additional purchases to complete the Python for AI program.

Yes, upon successful completion of the course, you will be awarded a certificate from Brolly AI Institute. This certificate can be a valuable asset to showcase your skills and knowledge in Python for AI to potential employers.

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