AI with Python Training in Nepal

AI with Python Training in Nepal

Join AI with Python Course
  • Duration: 2 Months
  • Career: Data Scientist
  • Fee: Affordable
  • Placement: Assisted
  • Trainer: Expertise

AI with Python Training in Kathmandu

You might be wondering what a Python with AI course in Nepal is.

The Python with AI course serves as an introduction to basic programming ideas and Python coding. The popularity of this course is skyrocketing among students as AI is in demand.  The programming language utilized by AI is Python. It is more popular than Java and has numerous advantages. Python with AI training comes under IT training in Nepal, in which students are taught about Python coding and data analysis using Python. 

For students who are willing to learn AI in Nepal, this course is excellent. Students who take the Python with AI course will be able to learn about AI and create projects that are related to it. By gathering data and training the machine with the appropriate model, they will be able to understand how machine learning works. 

Best Python with AI Training Center in Nepal

Are you searching for a 'Python with AI course near me'?

If yes, then there is no need to look for it anymore because Skill Training Nepal is here for you. Skill Training Nepal is best to take Python with AI training and get a certification after completing it.In the case of not getting globally recognized certification, then your effort and money will be in vain.
Skill Training Nepal is renowned for the quality of its certifications and education. You can get employed in many sectors after having a Python with AI certification. Thus, to make a career in the Python with AI course in Kathmandu, you are invited to Skill Training Nepal.

Why Choose us for the Python with AI Course in Kathmandu?

For the last two years, Skill Training Nepal has been providing students with quality education and training in different IT fields. Students who studied at our institute are doing well in the outside world. Among many IT training institutes in Nepal, our institute provides you with excellent teaching materials. 

The reasons for choosing us over others for the Python with AI course in Nepal are given below:

  • More extensive infrastructure 

  • Scholarships for worthy and needy applicants

  • Advanced study resources

  • More emphasis on practical learning than on theoretical.

  • certification that is widely recognized 

  • Cost-effective pricing. 

  • Real-time expert trainers

We stand out from other Kathmandu training facilities for the following reasons. Our team has significant teaching experience and is highly qualified in the relevant fields. 

Benefits of Python with AI Training in Nepal

There are unquestionably numerous advantages to using Python with AI. AI scope in Nepal is intriguing. After you complete this course, a flood of job opportunities will begin to come your way. There is a ton of technology available right now, and it is predicted that eventually, AI will rule the digital industry. Therefore, being aware of the AI course will undoubtedly be advantageous to you in a number of ways. 

Some advantages of the Python with AI course training in Nepal include:

  • Extensive educational experience

  • Enormous employment opportunities 

  • Comprehensive education that addresses a variety of AI and ML topics

These are the advantages of the course in Python with AI in Nepal. Python is a flexible language that can be used in many different applications. Thus, a Python course in Nepal opens up numerous AI and MI-related fields.

Career after Completion of Python with AI Course in Nepal

Many employment possibilities are available after completing an AI course in Nepal, and many students are succeeding in their objectives. There is a huge job demand for individuals having certification in Python with AI.

Some of the careers which can be pursued after completing the Python with AI course in Nepal are given below

  • AI Programmer

  • Data Analyst

  • Software engineer

  • Researcher

These are the career paths one can follow after taking Python with AI training in Nepal. Don’t waste the chance and grab the opportunity to do training in Python with AI in Skill Training Nepal. 

Why wait?

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Skill Training Nepal empowers you to be an AI/ML expert to shape the future. Bring a leap to your career with Kathmandu's leading AI with Python training center.


Call now to reserve your place at the frontiers of AI.
For more information, reach out to us and let your AI journey begin.

In this module, you will learn the history of AI, major milestones, and some of the basic concepts, including symbolic AI and the idea of search algorithms.You will thereby understand how AI works and its influence on our world.
Key learning outcomes:

  • History and Evolution of AI
    • Origin and milestones
    • Key contributors and breakthroughs
  • Traditional/Classical AI Concepts
    • Symbolic AI
    • Search algorithms
    • Logic and Inference
    • Constraint Satisfaction Problems
  • AI, ML and DL
  • Basic Mathematical Concepts
    • Linear algebra
    • oProbabilityand statistics
    • Basics calculus
  • Current Trends and Issues
  • Future Directions

This module will give a very firm grounding by the end for further learning on AI and will prepare you for informed discussions on the ethical and social implications of this revolutionary technology.

In this module, you'll learn the basics of Python: data type, control flow, and functions and then introduces you to powerful visualization libraries, Matplotlib and Seaborn, which are useful to explore and understand your data with much ease.
Key Learning Outcome

  • Python Basics
    • Setup and use of Jupyter notebook
    • Data types
    • Control flows
    • Functions
    • Essential python libraries
  • Data Handling
    • Numpy
    • Pandas
  • Data Visualization
    • Matplotlib
    • Seaborn

By the end, this module will guide you toward sound and fundamental understanding in Python to eventually help in higher learning of Machine Learning and Deep Learning. Just maintain the practice and experimentation cadence, and you will be all geared up to solve challenging problems and develop innovative AI solutions.

This module will introduce some efficient data visualization methods that are bound to help obtain insights about data distribution and find out the presence of particular patterns.
Key Learning Outcome:

  • Data Cleaning
  • Feature Engineering
  • Data Visualization

Continue upgrading your skills in data preprocessing and visualization, and you will be well-prepared for challenging data-driven problems.

In this module, you'll learn about the basic concepts and algorithms of Machine Learning: the paradigms of supervised and unsupervised learning. You will also study important algorithms like regression, classification, clustering, and dimensionality reduction. You'll also understand important concepts such as model evaluation and the workflow involved in building and deploying ML models.
Key learning outcomes:

  • ML Algorithms:
    • Regression
    • Classification
    • Ensemble methods
    • Clustering
    • Dimensionality Reduction
  • Key Concepts:
    • Supervised Learning
    • Unsupervised Learning
    • Model Evaluation
    • ML Workflow

By the end of this module, you will have a very solid grasp of the key concepts and methods underpinning Machine Learning. Then you will be able to apply ML techniques to many real-world problems. Keep exploring the ever-evolving world of Machine Learning, play with different algorithms, and contribute to the development of innovative and impactful AI solutions.

This module is going to introduce you to the exciting world of Deep Learning, exploring the power of neural networks to solve complex problems. You are also going to learn about several important techniques in optimization, regularization, and transfer learning that will let you train and deploy deep learning models.
Learning objectives:

  • Neural Networks:
    • introduction to Neural Networks
    • Training Neural Networks
  • Key Architectures:
    • Convolutional Neural Networks (CNNs)
    • Recurrent Neural Networks (RNNs)
  • Advanced Techniques:
    • Optimization and Regularization
    • Transfer Learning and Pre-trained Models

By the end of this module, you will have a concrete idea about the very basics of Deep Learning and how you can apply those to almost all real-world applications. Follow the latest about Deep Learning; fiddle with the architectures; contribute new, innovative AI solutions.

This module will consider critical steps for deploying machine learning models into real-world applications. You will learn how to set up APIs so that your trained models can be seamlessly integrated into already existing systems.
Key learning outcomes:

  • Overview of deployment strategies
  • Setting up API
  • Saving and Loading Model

Finally, we are going to review some best practices in saving and loading trained models for making them reusable and maintainable.

This final module enables you to apply your machine learning expertise to a real-world challenge. You'll work independently on a project that demonstrates your capabilities in the following:

  • scoping and defining a meaningful machine learning problem;
  • acquiring and preparing high-quality data;
  • developing, training, and evaluating effective machine learning models;
  • deploying your model into a suitable environment;
  • communicating your project effectively through a concise report.

With this project, you will put your hands on the full lifecycle of a machine learning project, understanding the main concepts.

Python with AI course doesn't require an expert level of pre-knowledge. Anyone with fundamental computer knowledge, data science knowledge, or machine learning ideas can take the course. Fundamental Python programming knowledge would be helpful for the training. Hence, remember us for the python with AI training in Nepal.

Out of many Python programming frameworks, the major programs available for AI are;

  • Pytorch
  • Scikit-Learn
  • Keras
  • Apache Spark
  • Tensorflow

 

Yes, it is. Python is one of the most used programming languages not only in Nepal but in the whole world. Python is a highly used framework for AI and you can have a great career in it. You are suggested to invest your 1 year in deep learning of AI in Python and then see the bright career thereafter.  

There are a number of institutions in Nepal that offer Python with AI courses. However, most of them lack the actual practicality required for the training. Skill Training Nepal is the one with the most practical course structure of Python with AI in Nepal. Enroll now and take the best experience of the AI course.

Well, it takes at least 3 months to 6 months. It depends on the hard work, practicality, projects, and training style of the trainer. However, the standard time for learning Python with AI is 4 months.

In this comprehensive program, learn how to develop and deploy Artificial Intelligence solutions using Python.

  • Beginners with basic knowledge of programming concepts.
  • Data scientists and analysts wanting to expand their AI/ML skills.
  • Software engineers wanting to transition into AI/ML roles.
  • Anyone who is interested in AI and wants to learn practical applications.
  • Basic knowledge of Python programming is recommended.
  • Basic knowledge of basic data science concepts
  • (optional) A very keen interest in AI and machine learning.
  • Core AI/ML concepts, such as Supervised/Unsupervised Learning, Deep Learning
  • Python libraries for AI/ML: TensorFlow, PyTorch, scikit-learn
  • Data preprocessing and feature engineering techniques Building and training various AI models, such as Linear Regression, Decision Trees, and Neural Networks Model evaluation
  • selection Model deployment and integration.
  • Interactive lectures and demonstrations
  • hands-on coding exercises and projects
  • real-world case studies and industry best practices
  • Q&A sessions and discussions.
  • Gain in-demand AI/ML skills.
  • Lay a solid foundation for a successful career in AI.
  • Work on practical projects to showcase your skills to potential employers.
  • Stay ahead in this rapidly changing field of AI.

Yes, upon completion of the training, participants will be given a certificate of completion.

Yes, you will be afforded the time to work on personal projects and apply the learned concepts to whatever you are interested in.

  • Instructor and support staff access for any questions and guidance.
  • Access to post-training support resources, such as online forums, FAQs, etc.
  • Data Scientist
  • Machine Learning Engineer
  • AI/ML Researcher
  • Data Analyst
  • Software Engineer with AI/ML Specialization
  • Roles
  • Increase earning potential in one of the high-demand career fields, AI/ML.
  • Competitive advantage in the job market.
  • Open up new and interesting avenues of career choice.
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