An Industry-Aligned Machine Learning & AI Course with 100% Job Guarantee







Your Dreams Deserve to be Realized, and we are here to Make It Happen

Welcome to Career Credentials, your trusted partner in career development and placement success. With a strong commitment to your professional growth, we empower individuals to unlock their full potential and secure their dream jobs with certainty. Join us at Career Credentials and unlock a world of opportunities. Ignite your potential, fuel your aspirations, and embark on a fulfilling career journey with the assurance of guaranteed job placements. Your dreams deserve to be realized, and we are here to make it happen.

Course Curriculum

  • Introduction to Machine Learning and AI
  • Supervised, Unsupervised, and Reinforcement Learning
  • Data preprocessing and feature engineering
  • Evaluation metrics and model validation
  • Introduction to Python libraries for Machine Learning (NumPy, Pandas, Scikit-learn)
  • Linear Regression
  • Logistic Regression
  • Decision Trees and Random Forests
  • Naive Bayes Classifier
  • Support Vector Machines
  • Clustering Algorithms (K-Means, DBSCAN, Hierarchical Clustering)
  • Dimensionality Reduction (Principal Component Analysis, t-SNE)
  • Association Rule Learning (Apriori, Eclat)
  • Anomaly Detection
  • Introduction to Neural Networks
  • Multi-layer Perceptron (MLP)
  • Convolutional Neural Networks (CNN)
  • Recurrent Neural Networks (RNN)
  • Transfer Learning
  • Text Preprocessing
  • Bag-of-Words and Word Embeddings
  • Sentiment Analysis
  • Named Entity Recognition
  • Text Generation
  • Image Processing and Feature Extraction
  • Object Detection and Image Classification
  • Image Segmentation
  • Facial Recognition
  • Image Generation and Style Transfer
  • Markov Decision Processes (MDPs)
  • Q-Learning and Deep Q-Learning
  • Policy Gradient Methods
  • Applications of Reinforcement Learning
  • Model Deployment and Serving (REST APIs, Docker, Cloud Platforms)
  • Interpretability and Explainability of ML Models
  • Bias and Fairness in AI
  • Privacy and Security Considerations
  • Future Trends in Machine Learning and AI

Programming Languages & Tools

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Key Benefits

100% Job
Practical Training Approach
Comprehensive Study Material
Instant Doubt
Industry-Relevant Curriculum
Experienced Instructors
Career Guidance and Mentoring
Networking Opportunities

Our Certifications

IBM Certification

The Masters in Full Stack Developer Course offers three modules: Python for Web Developers, HTML-based Web Development, and Java Fundamentals. These modules teach essential job-ready skills like Python, databases, data analysis, and more. The course are streamlined to help you easily crack the IBM certification courses. You’ll gain hands-on experience on the IBM Cloud, working with real-world tools and datasets. By the end of the course, you’ll have a portfolio of Full Stack projects, setting you up for a successful career in Full Stack Development.

AWS Certifications

In the Full Stack Development Course offered by Career Credentials, you will be equipped with the necessary skills to assist organizations in identifying and nurturing talent capable of implementing cloud initiatives. The course emphasizes the importance of becoming an AWS Certified Cloud Practitioner, as it demonstrates proficiency in cloud technologies and establishes a solid foundation of AWS knowledge. By obtaining this certification, you validate your expertise in the cloud domain and enhance your career prospects in Full Stack Development.

Trusted by 90,000+ Student

Career Credentials exceeded my expectations! The instructors were knowledgeable, and the course was well-structured. Thanks to them, I landed my dream job as a full stack developer within weeks.

Trigya Debanik Roy MORGAN STANLEY

Career Credentials changed the game for me. The curriculum was comprehensive, and they provided interview preparation. I'm now working as a full stack developer, all thanks to Career Credentials!

Reena Kanhekar WIPRO

Impressive experience at Career Credentials. The instructors were supportive, and the course emphasized the latest industry trends. I gained technical skills and confidence to excel in my new career.

Gopesh Jangid BYJU'S

Career Credentials provided a strong foundation for my full stack development career. The instructors were patient, and their industry connections led to multiple job offers before course completion.

Prashant Ganesh Pandey ORACLE

Best career decision! Career Credentials' curriculum was comprehensive and well-paced. The instructors were experts and offered outstanding post-course support. I secured multiple job offers within a month!

Pooja Mishra CISCO

Frequently Asked Questions

Machine Learning is a subset of Artificial Intelligence (AI) that focuses on building algorithms and models that enable computers to learn from data and make predictions or decisions. AI, on the other hand, encompasses broader concepts and techniques that simulate human intelligence. Machine Learning and AI are important because they can automate processes, make accurate predictions, and provide valuable insights across various industries.

In this course, you will learn fundamental concepts of Machine Learning and AI, including supervised and unsupervised learning algorithms, neural networks, deep learning, natural language processing (NLP), and computer vision. You will also gain hands-on experience with popular programming languages like Python and tools like TensorFlow and scikit-learn.

Prior knowledge of programming, statistics, and linear algebra is recommended for this course. Familiarity with Python programming language will be beneficial, as most of the hands-on exercises and projects will be implemented using Python libraries.

The course duration is typically 8 to 12 weeks, depending on the curriculum’s depth and the pace of learning. It is designed to provide a comprehensive understanding of Machine Learning and AI concepts and techniques within a reasonable timeframe.

Yes, upon successfully completing the course, you will receive a certificate that validates your skills and knowledge in Machine Learning and AI. This certificate can enhance your resume and demonstrate your proficiency in developing and implementing Machine Learning models.

Machine Learning and AI skills are highly sought after in various industries, including finance, healthcare, e-commerce, and technology. By acquiring these skills, you can pursue career opportunities as a Machine Learning Engineer, Data Scientist, AI Specialist, or AI Consultant. These roles often offer competitive salaries and provide opportunities for innovation and solving complex problems.

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