Master Machine Learning - Artificial Intelligence Using Python

Unleash the power of Artificial Intelligence with Python, and unlock a world of endless possibilities and intelligent automation.
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4.9 / 5 Stars

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1140+ Students

Internship

3 months

Fee: ₹42,000
Offered: ₹ 24,000/-
Beginners 3 Months Training
Fee: ₹ 60,000
Offered: ₹ 48,000/-
Advanced 6 Months Training
With 3 months Internship
Fee: ₹ 17,500
Offered: ₹ 3,799/-
Video Based Training
+ 2 Live Project
Launching Tuesday 12 PM IST
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What's Included

6+
Training Modules
5+
Live Projects
19+
AI Tools & Resources
80+
Hours of Hands-on Training

Training Includes

Lifetime Access

Gain lifetime access to Artificial Intelligence course and continue to enhance your knowledge and skills at your own pace, anytime, anywhere.

Certification

Talent spiral certifies you as a Certified Expert based on the project reviewed by our expert panel.

Live Projects

Talent Spiral is working globally with clients across various industries and provides learners the opportunity to work on live projects.

100% Job Placement Assistance

Our Artificial Intelligence course provides 100% job placement assistance, empowering you to land your dream Job.

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Course Modules

The Applied Machine Learning Projects course is a comprehensive and hands-on program designed to equip students with practical skills in artificial intelligence using Python. Over two months, students will explore Python programming and machine learning program basics, delving into advanced topics through diverse projects

From chatbot development to image classification, handwritten digits recognition, news headline generation, and object detection, students gain deep understanding and proficiency in AI. With a focus on project-based learning, this course empowers students to become proficient AI practitioners in no time.

Students or recent graduates
  • Those pursuing degrees or fresh graduates in computer science, data science, or related fields who want to enhance their practical machine learning skills and gain hands-on experience in building projects.
    • Professionals transitioning into machine learning
  • Individuals from diverse professional backgrounds who are looking to switch careers or add machine learning expertise to their skillset. This course provides them with the necessary knowledge and practical experience to enter the field of machine learning.
    • Software developers and engineers
  • Professionals already working in the software development industry who want to expand their skills to include machine learning courses. This course allows them to leverage their programming knowledge and build machine learning applications.
    • Data analysts and researchers
  • Individuals who work with data and want to apply machine learning techniques to gain deeper insights or automate certain tasks. This course helps them bridge the gap between data analysis and machine learning implementation.
    • Enthusiasts and self-learners
  • Individuals who have a keen interest in machine learning or ai learning courses and want to gain practical experience by working on hands-on projects. This course provides them with a structured learning path and guidance to develop their skills.
    • Week 1: Introduction to Python and Machine Learning Basics
  • Introduction to Python programming language
  • Overview of machine learning concepts and libraries (e.g., scikit-learn, TensorFlow, Keras)
  • Setting up the development environment
    • Week 2: Building a Chatbot
  • Understanding natural language processing (NLP) concepts
  • Introduction to chatbot frameworks (e.g., Rasa, Dialogflow)
  • Designing and implementing a simple rule-based chatbot
    • Week 3: Image Classification
  • Introduction to image classification and convolutional neural networks (CNNs)
  • Training a basic CNN model using a popular dataset (e.g., MNIST, CIFAR-10)
  • Evaluating and fine-tuning the model's performance
    • Week 4: Handwritten Digits Recognition
  • Introduction to image preprocessing techniques (e.g., resizing, normalization)
  • Exploring different models for handwritten digits recognition (e.g., CNN, SVM)
  • Implementing and training a model using the MNIST dataset
    • Week 5: News Headline Generation
  • Introduction to natural language generation (NLG) techniques
  • Overview of recurrent neural networks (RNNs) and long short-term memory (LSTM) networks
  • Building a basic news headline generation model using LSTM
    • Week 6: Object Detection
  • Introduction to object detection algorithms (e.g., YOLO, Faster R-CNN)
  • Understanding bounding box annotation and dataset preparation
  • Implementing an object detection model using a pre-trained network (e.g., TensorFlow Object Detection API)
    • Throughout the course, you can incorporate the following elements-
  • Weekly lectures and presentations on each topic, explaining the underlying concepts and techniques.
  • Hands-on coding exercises to practice implementing the models and algorithms discussed.
  • Project assignments related to each topic, allowing students to apply their knowledge and build the specified projects.
  • Code reviews and feedback sessions to help students improve their implementations.

    • Artificial intelligence using python offers a wide range of career opportunities across various industries. Here are some potential career paths related to AI learning courses:

    Machine Learning Engineer
  • Designing, developing, and implementing machine learning models and algorithms for solving complex problems.
    • Data Scientist
  • Analyzing and interpreting large datasets to extract valuable insights, developing predictive models, and implementing AI solutions.
    • AI Researcher
  • Conducting research to advance AI technologies, developing new algorithms, and pushing the boundaries of AI capabilities.
    • Natural Language Processing (NLP) Engineer
  • Building systems that understand and generate human language, such as chatbots, language translators, and sentiment analysis tools.
    • Computer Vision Engineer
  • Developing algorithms and systems for image and video processing, object recognition, and autonomous navigation
    • AI Ethics Consultant
  • Addressing ethical considerations and ensuring responsible and fair use of AI technologies in organizations.
    • AI Consultant
  • Providing strategic guidance to businesses on how to leverage AI technologies to improve processes, enhance customer experiences, and drive innovation.
    • AI Product Manager
  • Leading the development and launch of AI-powered products and services, bridging the gap between business requirements and technical implementation.
    • AI Specialist in Healthcare
  • Applying AI techniques to analyze medical data, assist in diagnosis, develop personalized treatment plans, and advance healthcare research.
    • AI in Finance
  • Using AI for fraud detection, risk assessment, algorithmic trading, and portfolio optimization in the financial sector.
    • Enroll Now

    Specializations And Certifications

    Elevate your career with our Artificial Intelligence using Python course. Complete the course, earn industry-recognized credentials, and showcase your expertise. Share your achievement, boost your value. Enroll now, unlock limitless opportunities.

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    Program Advantages

    Designed for Working Professionals
    Doubt Resolution Sessions
    Dedicated Student Success Mentor
    Practical Hands-on Capstone Project
    Certificate on Completion of Course
    Networking Opportunities with a Alumni pool
    Lifetime Access to Course Material
    100% Job Placement Assistance

    Our Expert Trainers

    Jayant Jain

    Jayant is CTO of Talent Spiral, a data science expert with over 10 years of experience in the field. He has worked for a variety of Fortune 500 companies as client, helping them to transform their data into actionable insights. He is passionate about teaching others about data science, and he is a highly skilled trainer. Jayant has a strong background in mathematics, statistics, and computer science. He is also proficient in a variety of data science tools and technologies, including Python, R, SQL, and Tableau. He is able to apply these skills to solve real-world problems, and he is always up-to-date on the latest trends in data science.

    As a trainer, Jayant is able to break down complex concepts into easy-to-understand terms. He is also a great communicator, and he is able to engage his students and keep them motivated. He is a highly effective trainer, and he has helped many people to learn data science and to apply it to their work.

    Rahul is a cloud architect with over 12 years of experience in the field. He is certified from Google, Microsoft, and AWS, and he has a deep understanding of cloud computing technologies. He is also an experienced trainer, and he is passionate about helping others learn about cloud computing. Rahul is Masters in Computer Science with specialisation of Artificial Intelligence and he is proficient in a variety of cloud computing technologies, including Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP).

    As a trainer, Rahul is able to break down complex concepts into easy-to-understand terms. He is also a great communicator, and he is able to engage his students and keep them motivated. He is a highly effective trainer, and he has helped many people to learn cloud computing and to apply it to their work.

    Rahul Shrivastava
    Subham Barman

    Subham Barman is an accomplished Software Developer with over 3+ years of industry experience, specializing in Data Science. With his extensive knowledge and expertise, he has become a valuable asset in the field. Subham possesses a unique skill set that sets him apart from the rest. His proficiency extends to coding in multiple languages, exceeding three, allowing him to navigate various programming landscapes effortlessly.

    As a trainer, Subham's true talent shines through. He has an innate ability to break down complex concepts into easily digestible terms, ensuring that his students grasp the intricacies of Data science with clarity. His exceptional communication skills enable him to engage and motivate his students throughout the learning process.

    Course Reviews

    I found the Artificial intelligence using Python course to be an excellent introduction to the world of artificial intelligence. The instructors explained complex concepts in a clear and concise manner, and the hands-on exercises helped solidify my understanding. The course materials were well-structured, and the practical examples using Python libraries were extremely valuable. I highly recommend talent course to anyone interested in diving into AI with Python.

    Nihaal Narwariya

    This course exceeded my expectations! The instructors provided comprehensive coverage of AI principles and demonstrated their applications using Python. The practical projects allowed me to apply my learning and gain hands-on experience in building AI models. The course community was supportive, and the instructors were responsive to questions. I feel confident in my ability to apply AI techniques using Python after completing this course.

    Mansi Shrivastava

    As someone with a limited programming background, I was initially apprehensive about taking an AI course. However, this course was designed with beginners in mind. The trainer provided step-by-step explanations and guided us through the Python code. The course gradually built up from basic concepts to more advanced topics, allowing me to grasp AI fundamentals. I appreciate the practical approach and highly recommend this course to fellow beginners.

    Ajay Yadav

    The AI using Python course was a game-changer for me. The content was comprehensive, covering both theoretical foundations and practical implementation. The instructors shared real-world examples and case studies that demonstrated the power of AI. The course projects challenged me to think critically and apply my knowledge creatively. The support from the instructors was invaluable.

    Ashwani sharma

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    This course was an excellent investment of my time and effort. The instructors had a deep understanding of AI concepts and were able to communicate them effectively. The course also provided resources for further exploration, allowing me to continue my learning journey beyond the course. I highly recommend this ai course to anyone interested in Artificial intelligence and Python.

    Rachna Vajpai

    FAQ'S

    Can't find the answer you're looking for? Feel free to get in touch.

    What is artificial intelligence?

    Artificial intelligence refers to the development of intelligent machines or computer systems that can perform tasks that typically require human intelligence, such as speech recognition, decision-making, problem-solving, and learning.

    What role does Python play in artificial intelligence?

    Python is a popular programming language widely used in AI development due to its simplicity, readability, and a rich ecosystem of libraries and frameworks. It provides powerful tools for data manipulation, machine learning, and deep learning, making it a preferred choice for AI projects.

    How can I become an AI engineer?

    You can become an AI engineer by acquiring all the essential skills that an AI professional should possess. Talent spiral’s artificial intelligence using python and machine learning courses can help you do exactly that. After the completion of the course, you will be given a certificate that can be showcased to potential employers, highlighting your proficiency in AI using Python.

    What is the difference between artificial intelligence (AI) and machine learning (ML)?

    AI is a broader concept that encompasses the development of intelligent systems capable of mimicking human intelligence, while machine learning is a subset of AI that focuses on training machines to learn from data and make predictions or decisions without being explicitly programmed.

    Can I learn AI using Python without a strong background in programming?

    While having some programming knowledge can be beneficial, Python is often considered a beginner-friendly language for AI. With its clear syntax and extensive libraries, Python provides a relatively gentle learning curve for individuals who are new to programming.

    Why Choose Talent Spiral

    Technical and Digital Solutions

    Talent Spiral is at the forefront of technological advancements. We provide cutting-edge technical and digital solutions to individuals and organizations worldwide. By incorporating the latest tools and techniques, our course ensures that you stay ahead of the curve and leverage technology to amplify your personal brand.

    Tailored Course Curriculum

    Our tailored curriculum meets diverse learner needs through flexibility, customization, and continuous updates. It empowers learners to acquire new skills, explore interests, and stay current with industry trends. We enable personal and professional growth.

    Post-Training Support

    Our post-training support ensures ongoing assistance and resources for learners beyond course completion. We offer mentorship, online forums, and personalized consultations to help learners apply their skills effectively. Continuous learning and professional growth are prioritized through our support programs.

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