Artificial Intelligence (AI) Course Training In Bangalore

Elevate your skills with our premier Artificial Intelligence Course in Bangalore! Become an expert in Deep Learning, Machine Learning, Chatbot development, Neural Networks, and Reinforcement Learning through engaging Live Projects and Blend Data Science and hands-on demos for real-world AI applications.

1784 Ratings (5.0)

Overview

“Dive into the future with our cutting-edge Artificial Intelligence Course in Bangalore. Our training methodology combines comprehensive theory with hands-on projects, ensuring a holistic learning experience. As the market for AI engineers continues to surge, our course prepares you for success with practical skills and industry-relevant projects.

Enhance your resume with a portfolio showcasing real-world applications, setting you apart in the competitive job market. Join us for AI and ML courses in Bangalore, and unlock your potential in this dynamic field.

Our program includes AI Certification, placement assistance, and the opportunity for an Artificial Intelligence internship, making it the ideal choice for those seeking a fulfilling career in AI.

Eligibility, who can take up this AI course:

  • Educational Background:

Typically requires a bachelor’s degree in computer science, engineering, mathematics, or related fields.

  • Programming Skills:

Proficiency in programming languages, particularly Python, is often beneficial.

  • Mathematics and Statistics Knowledge:

A foundational understanding of mathematics and statistics, including concepts like linear algebra and probability, may be required.

  • Interest and Aptitude:

A genuine interest in artificial intelligence, machine learning, and strong analytical skills are crucial.

  • Work Experience (Optional):

Some advanced AI courses may prefer candidates with relevant work experience in the field, though it’s not always mandatory.

What are the main advantages of Project Academy Machine Learning Training

“Experience the exceptional benefits of Project Academy’s Machine Learning Training:

  • Job Placement: A dedicated 100% placement approach for a seamless transition into the professional realm of Machine Learning and Artificial Intelligence.
  • Cutting-Edge Curriculum: Gain expertise in the future of AI with comprehensive coverage of Machine Learning, Machine Algorithms, and Deep Learning.
  • Job-Oriented Training: Tailored programs that focus on developing practical skills, ensuring a job-ready approach.
  • Extensive Learning Resources: Access e-learning modules and data materials to enhance your understanding.
  • Real-world Projects: Work on live projects aligned with industry standards, providing hands-on experience.
  • Expert-Led Instruction: Learn from seasoned professionals within the same domain, gaining insights from their practical knowledge.
  • Flexible Timings: Accommodate your schedule with flexible training timings.
  • Value for Money: Invest in your future with a training program that offers exceptional

Syllabus of AI (Artificial Intelligence) Training in Bangalore

A comprehensive AI/ML curriculum can be broken down into foundational concepts, programming languages, tools, and advanced topics. Here’s a detailed breakdown with approximate hours for each module:

  • Introduction to AI/ML
  • Data types and data structures
  • Basics of statistics and linear algebra
  • Probability theory
  • Basics of optimization
  • Python programming language
  • Libraries – NumPy, Pandas, Matplotlib
  • Data preprocessing and visualization
  • Regression analysis
  • Classification algorithms
  • Feature selection and engineering
  • Model evaluation and selection
  • Neural networks
  • Convolutional Neural Networks (CNN)
  • Recurrent Neural Networks (RNN)
  • TensorFlow and Keras
  • Text preprocessing
  • Word embeddings
  • Sequence models
  • Transformer models
  • Introduction to Jupyter Notebooks
  • Version control with Git
  • IDEs – PyCharm, VS Code
  • Docker and virtual environments
  • Cloud platforms – AWS, GCP, Azure
  • Containerization – Docker, Kubernetes
  • Model serving and monitoring
  • Fairness, accountability, and transparency
  • Ethical considerations in AI/ML
  • Mitigating bias in models

NOTE:For the installation procedure, each module will have its specific requirements, but common installations may include Python, Anaconda distribution, TensorFlow, Keras, PyTorch, and relevant IDEs.

Key Features of Artificial Intelligence/ML Training in Bangalore.

Upcoming batch schedule for Machine Learning Course in Bangalore

Jan – 2024Mon (Mon – Fri)
Weekdays Batch
09:00 AM (IST)
(Class 1Hr – 1:30Hrs) / Per Session
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Jan-2024Mon (Sat- Sunday)
Weekend Batch
08:00 AM (IST)
(Class 1Hr – 1:30Hrs) / Per Session
Get Course Fee
Feb-2024Mon (Mon – Fri)
Weekdays Batch
09:00 AM (IST)
(Class 1Hr – 1:30Hrs) / Per Session
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Trainer Profile of AI (Artificial Intelligence) Training in Bangalore.

Experienced AI and Machine Learning trainer with over 6 years of industry experience, specializing in real-time projects implementation. Skilled in delivering comprehensive training programs, fostering a deep understanding of AI and Machine Learning concepts through real-world applications.

With over 5 years of hands-on experience in the field of AI/ML, the trainer has worked on various AI/ML projects and applications, contributing significantly to the development of innovative solutions.

Expert in machine learning algorithms, deep learning, natural language processing, computer vision, and practical applications of AI/ML in diverse domains.

Adopts a practical, hands-on approach to training, emphasizing real-world scenarios, industry best practices, and project-based instruction to provide a comprehensive understanding of AI/ML concepts and applications.

Successfully led and contributed to the development of innovative AI/ML projects, demonstrating expertise in algorithm implementation, model training, and application deployment.

AI (Artificial Intelligence) Certification

After AI/ML training completion, participants obtain a certification signifying their proficiency in practical AI/ML applications and model development, boosting their credibility and career prospects in the field.

project-certificate

FAQs

AI, or Artificial Intelligence, refers to the simulation of human intelligence processes by machines, especially computer systems. These processes include learning, reasoning, problem-solving, understanding natural language, and perception. AI is used to develop systems that can perform tasks that typically require human intelligence, such as visual perception, speech recognition, decision-making, and language translation.

 Tools and technologies commonly used for developing AI skills include:

  • Programming Languages: Python, R, Java, and C++ are frequently used for AI development due to their robust libraries and frameworks tailored for machine learning and AI.
  • Machine Learning Frameworks: TensorFlow, PyTorch, Keras, scikit-learn, and Caffe provide a foundation for building and training machine learning models.
  • Data Processing and Analysis Tools: Pandas, NumPy, and Apache Spark are utilized for data manipulation, analysis, and preprocessing tasks.
  • Development Environments: Jupyter Notebooks, PyCharm, and Visual Studio Code are popular for creating and testing AI models.
  • Cloud Platforms: AWS, Azure, and Google Cloud Platform offer AI services, infrastructure, and tools for scalability and deployment.
  • Natural Language Processing Libraries: NLTK (Natural Language Toolkit), Spacy, and Gensim are used for processing and analyzing textual data.
  • Computer Vision Libraries: OpenCV and Dlib are utilized for tasks related to image and video analysis.
  • Reinforcement Learning Frameworks: RLlib, OpenAI Gym, and Keras-RL support the development of AI models for decision-making and control systems.

The specific education qualification required to apply for an AI ML course in Bangalore may vary depending on the institution or organization offering the course. However, Some advanced courses or specializations may require higher education levels or specific prerequisites in mathematics, programming, or computer science. It is advisable to check the admission requirements for the specific course or program you are interested in applying to.

Even if you don’t have any prior knowledge in AI and Machine learning you can still enrol in the AI/ML course, since this course will starts from basics and take you through to the upper level, where you learn all the advanced critical AI and machine learning skills.

It is completely hands-on training in AI/ML course in Bangalore that covers many top skills and tools including, Python, Keras, TensorFlow, Django, and so much more. You will have an opportunity to work on many real-time real-time projects which will be helpful to update in your resume.

Upon successful completion of the program in Bangalore, you will receive a Professional Certificate Program in AI and ML,an industry-recognized certificate.

Some of the job roles in Artificial Intelligence are, Machine Learning Engineer, Artificial Intelligence R&D, Data Scientist, Machine Learning Engineer, and Artificial Intelligence Strategist. Some of the companies who are hiring AI/ML engineers in Bangalore and in worldwide are HCL Technologies, EY, Accenture, BlinkIn, Thick data Solutions, LinkedIn, Google, Mercedes-Benz Research,BOSCH,HP, Apple,Microsoft etc..

 Retail and E-commerce, Banking and Financial Services, Manufacturing, Food, Health care, Logistics and Transportation, Entertainment, and Real Estate. All these industries require candidates Engineers who have completed certification courses in AI and ML Training. Bangalore

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