Basics of AI / ML

Training & Certification Program

Training Duration: 15th Dec. 2023 – 30th Dec. 2023

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Internship Certificate

Get 3 months of Internship certificate certified by Stackruit Technology. T&C*

15 Days Live Training

Basics of AI/ML Live training to provide you an edge in the Placements

Unbelievably Affordable

We charge a very affordable fee of Rs. 3999/- to cover the training running cost

    97 Million New Jobs Will be Created by 2025 with the appliance of AI/ML.

    In the era of competition, every company is asking for experienced candidate, doesn’t matter whether they are hiring for an internship or a job.

    It has become a chicken and egg problem now where students don’t get internship or job as they don’t have an experience, and students don’t get to learn or experience as they are not getting a good internship or job.

    At Stackruit in association with Oliver Blue Education is offering a 15 days of online live interactive Basics of AI/ML Training course for college students looking to advance their career in technology and providing 3 months internship experience certificate.

     

    The training course is designed by distinguished working professionals, covers basic machine learning concepts. This AI/ML Training & Internship is ideal for college students who wish to stand out in their interviews, and want to get certified in the basics of AI/ML to crack high packages.

     

    Training Overview:

    • Duration: 15 days
    • Daily Session: 1 hour
    • Fee: Unbelievably Affordable
    • Certification 1 : Basic Training Certification in association with Oliver Blue Education
    • Certification 2 : Certificate of Internship (3 months) with Stackruit Technologies
     

    Training Schedule:

    • Start Date: 15th Dec. 2023
    • End Date: 30th Dec. 2023
    • Admission Deadline: 14th Dec.2023
    • Sessions: Daily, 1 hour each for 15 days
     
     

    2

    Certifications

    15 Days

    for Completion

    Lifetime

    Certification Validity

    1 Hour

    Each day

    Who can go for this? All Engineering Students

    Basic Short Training + Internship Certificate

    The best ever combination of making your profile robust and employable. After this course you can apply confidently to start your career with high paying streams

    Not from Computer Science? No Problem

    Absolutely No Prerequisite required. Understanding of AI / ML is in high demand whether you want to become a developer, or want to get into marketing or product. It is must nowadays.

    Recent Layoffs in the companies did not happen just because of Recession but to hire more AI / ML aligned workforce

    Many tech companies are eager to hire AI and ML engineers. Our 15-days training course, followed by an internship at Stackruit Technologies, is your ticket to stand out. These certificates show you’re committed and skilled.

    With product companies on the lookout for top talent, this training-internship combination opens doors to exciting career opportunities in the dynamic world of artificial intelligence and machine learning. Don’t miss your chance to thrive in this rapidly growing field.

    Some big giants actively hiring AI / ML Talent:

    2 Certificates - Learning & Experience

    This opportunity comes with a Basic Training Course Certification in association with Oliver Blue Education Private Limited, validating your foundation in AI and ML. Then, showcase your commitment to practical experience with a 3 months of Certificate of Internship from Stackruit Technologies. These certificates, recognized by industry professionals, will set you on a path to success and open doors to exciting opportunities in the world of AI and ML. Don’t miss the chance to elevate your career and knowledge.

    Course Content:

    Day 1: Introduction to AI and ML

    • What is Artificial Intelligence (AI) and Machine Learning (ML)?
    • Overview of AI and ML applications
    • Key terminology and concepts in AI and ML

    Day 2: Introduction to Python for Data Science

    • Setting up Python environment
    • Basics of Python programming
    • Introduction to popular Python libraries (NumPy, Pandas, Matplotlib)

    Day 3: Data Preprocessing

    • Data collection and cleaning
    • Data exploration and visualization
    • Handling missing data and outliers

    Day 4: Supervised Learning

    • Introduction to supervised learning
    • Linear Regression
    • Logistic Regression
    • Model evaluation and validation

    Day 5: Supervised Learning (Continued)

    • Decision Trees and Random Forests
    • Support Vector Machines
    • K-Nearest Neighbors

    Day 6: Unsupervised Learning

    • Introduction to unsupervised learning
    • K-Means Clustering
    • Hierarchical Clustering
    • Principal Component Analysis (PCA)

    Day 7: Natural Language Processing (NLP)

    • Introduction to NLP
    • Text preprocessing and tokenization
    • Sentiment analysis
    • Building a basic text classification model

    Day 8: Deep Learning Fundamentals

    • Introduction to neural networks
    • Building a simple feedforward neural network
    • Activation functions and backpropagation
    • Introduction to deep learning frameworks (TensorFlow or PyTorch)

    Day 9: Convolutional Neural Networks (CNN)

    • Introduction to CNNs
    • Building a basic image classification model
    • Transfer learning with pre-trained models
    • Applications of CNNs in image analysis

    Day 10: Recurrent Neural Networks (RNN)

    • Introduction to RNNs
    • Building a basic text generation model
    • Sequence-to-sequence models
    • Applications of RNNs in time series analysis and natural language processing

    Day 11: Reinforcement Learning

    • Introduction to reinforcement learning
    • Markov Decision Processes (MDP)
    • Q-Learning
    • Deep Q-Network (DQN)

    Day 12: Model Deployment

    • Preparing a model for deployment
    • Deploying a model using Flask or FastAPI
    • Introduction to cloud-based model deployment (AWS, Azure, GCP)

    Day 13: AI Ethics and Bias

    • Ethical considerations in AI and ML
    • Bias and fairness in AI
    • AI regulations and guidelines
    • Responsible AI practices

    Day 14: AI and ML Applications

    • Real-world applications of AI and ML in various industries
    • Industry-specific case studies
    • Emerging trends in AI and ML

    Day 15: Course Recap and Certification Preparation

    • Review key concepts and hands-on projects
    • Practice questions and discussion
    • Guidance on AI and ML certification options and career paths

    Frequently Asked Questions

    What kind of certification will I receive for completing the AI and ML course?

    Upon successful completion of the 15-day AI and ML course, you will receive a Basic Course Certification in association with Oliver Blue Education. This certification acknowledges your participation and the knowledge you’ve gained.

    While the Basic Course Certification is a great starting point, it may not be industry-recognized like professional certifications. However, it demonstrates your commitment to learning and can be a valuable addition to your resume or academic portfolio.

    Absolutely! The Certificate of Internship with Stackruit Technologies is a valuable addition to your professional profile. You can proudly showcase it on your resume, LinkedIn, and other professional platforms.

    The internship with Stackruit Technologies offers you practical experience in the field of AI and ML. You’ll have the opportunity to work on real-world projects, gain insights into the industry, and collaborate with professionals in the field.

    The internship is a non-paid learning opportunity, focused on gaining experience and practical skills. It’s a valuable addition to your resume and can lead to potential career opportunities.

    To qualify for the internship certificate, you must complete the 15-day AI and ML course successfully. Your dedication and active participation during the course are key to obtaining this certificate.

    The internship is designed to be a remote learning experience, allowing you to work from the comfort of your location. This flexibility enables you to balance your studies and the internship.

    Yes, you can certainly mention both the Basic Course Certification and the Internship Certificate on your resume. This will showcase your dedication to learning and your practical experience in the field.

    While the internship is not a guaranteed job placement, it provides valuable experience and networking opportunities. Many employers value candidates with practical exposure, and the internship can enhance your job prospects.

    After successfully completing the course and internship, you will receive an email with instructions on how to download and access your certificates. These certificates will be a testament to your dedication and skills in the field of AI and ML.

    Learn & Get Certified.

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