Machine Learning Course

What is Covered in Our Comprehensive Machine Learning Course?

I first got to know about the world of artificial intelligence. SevenMentor’s Machine Learning Course is really good in terms of explaining the complex data concepts step by step. This course helps in relating the concepts to the real-life scenarios that one faces in the industry. The program does not consist of just reading the slides and copying the code. One gets to know how to create end-to-end pipelines and implement them.

SevenMentor Machine Learning Training is a structured 4-phase machine learning course where each phase of the program builds upon the previously learned concepts and helps implement real-world use cases.

• Data Foundations & Cleaning: Students can start from scratch and learn enough Python to learn about control structures, functions, and data structures. They learn to deal with all kinds of real-world data, including dirty, missing, and corrupted data, using NumPy and Pandas.
• Exploratory Data Analysis (EDA): Find out the various hidden patterns in the data and learn to make graphs that show correlation between columns. You will be able to understand the distribution of the data with the help of various graphs created with the help of Matplotlib and Seaborn.
• Core ML Algorithms: Here, in this module, we will learn supervised & unsupervised machine learning algorithms like linear regression, logistic regression, decision trees, Random Forest, K-means clustering, and many more.
• Advanced Concepts & Tuning: Learn SVM, Naive Bayes, ensemble methods like bagging, boosting, etc., and also get introduced to the world of deep learning with TensorFlow and Keras.
• Business Case Studies: Using various data sets from finance, retail, health care, and more, you will apply your learning to real-life scenarios with real-world problems to solve, such as customer churn and lead scoring for marketing in various industries.

You will be able to understand and evaluate the performance of your models, explain the importance of individual features of your data, and discuss the issue of model bias with tech recruiting personnel by the time you finish SevenMentor’s machine learning classes.

Why Should You Choose SevenMentor for Your Machine Learning Training?

A key factor that differentiates the way we deliver machine learning classes from a traditional classroom is that we treat our classrooms as development environments. The classes are designed at SevenMentor Institute to be delivered by mentors who have used the models that are taught in the classes in their previous roles in corporations and have deployed them in real-life scenarios. In addition to the above, the mentors also share their experiences of having faced problems while implementing an ML model in real life. They also teach the trainees how to go about fixing a model that is not performing well, how to interpret the output generated by a model, and also how to keep the code clean and also keep it deployable.

By choosing our machine learning course, you will get the most out of the unique training methodology of SevenMentor Institute.

• Mentorship from Industry Pros: Get the training from the trainers who have actually used these models in their projects in corporations. They will share the pitfalls, the tricks, and the best practices used by top tech companies to get the most out of the models in our learning environment / study approach at small, collaborative batches.
• Real Training – Focus on Hands-on: We keep our focus on students writing Python scripts and running into runtime errors as opposed to just reading through presentation slides and going through the theory of how to do things.
• Unperfect Data: Train on unperfect data so that you can handle Incomplete / Imperfect data in real life corporate scenarios.
• End-to-End Portfolio Building: By the time you complete the course, you would have a portfolio of the data pipelines and models that you have developed during the course, which would clearly indicate your ability to apply your knowledge to real-world problems to your potential employers.

Our way of training helps to get over the fear of the underlying mathematical complexities and to focus on how to use predictive modeling for making better decisions in business.

Can I Enroll in a Live Machine Learning Online Course?

Pause your career and daily commute for high-quality training for a few months. Our online machine learning online course brings the same level of energy and interaction of the classroom to you at home, on your schedule. Unlike a collection of pre-recorded videos that you watch alone, our online training consists of live, synchronous sessions with your mentor and other students around the world.

Our Online Machine Learning Training Platform for Virtual Classes: We offer live interactive sessions where you can participate and ask questions in real time, like you were in the classroom. These sessions are broadcasted according to the schedule of the live classroom sessions.

• Real-Time Code Debugging: We can share your screen or use collaborative code editors where you can debug your Python code in real-time as you learn from your mentor.
• Flexible Scheduling Options: We have weekend batch and late-evening batch options for working professionals & students currently studying in university.
• The practical curriculum in the online machine learning training is identical to that of our classroom machine learning program. The online program enables you to work on retail, finance, and healthcare case studies and thereby develop a portfolio of work of equal value to that of a student in the classroom program.
• A learning management system (LMS) : Access to recorded class sessions, coding for the class, data used for the class, and the class community chat.

Is Custom Corporate Machine Learning Training Available for Teams?

Corporate Machine Learning Training for Workforce Upgrade. Most companies are moving to data-driven decision-making. SevenMentor's corporate training programs help companies upgrade the skills of their workforce to take the leap from spreadsheets and traditional reporting to automated predictive analytics using machine learning for workflow automation. We do not teach theoretical examples of ML or business analytics problems in our corporate B2B training programs held as corporate workshops. The real-life examples of current problems that the employees of a company can apply to solve their current problems are taught.

Our b2b corporate programs have immediate value to organizations through our highly customizable delivery framework.

• Customized Technical Scope: We can work with you to select from our portfolio of high-quality courses relevant to your team's immediate needs, ranging from data cleaning automation through to advanced predictive model deployment.
• Our proprietary Data Integration Process allows us to use your in-house data (securely). Thus, the data that is used to train your employees to generate actionable insights in class is your very own company data.
• Automate Workflow: Automate reporting and reduce hours of repetitive work that can be done by a computer instead of an engineer.
• Our method to train in Corporate Machine Learning for B2B is highly customizable and thus immediately brings added value for organizations and companies. Our training can be provided in a variety of formats. For example, we offer:
• Cross-Department Upskilling: Help engineering and business teams alike to get most out of your investment in ML and learn to measure its value. Help non-technical managers to understand and interpret most common ML metrics.

By going through our specialized corporate track, you will help turn your business data into a measurable asset. Your departments and teams will be able to make better decisions faster and in a more profitable way.

How Will This Machine Learning Course Impact Your Career?

Artificial intelligence (AI) is no longer the exclusive domain of the highly educated engineers. All industries (retail, finance, healthcare, and others) are actively searching for employees that can read and analyze data and also develop workflows that predict events and solve complex business problems. This is what a course in machine learning (sophisticated data analysis using computer models) can do for you, preparing you for a promotion from a simple data collector to a position that can develop strategic systems for analyzing, managing, and processing information.

• Machine Learning Training Program: Our Machine Learning Course changes your job in a few months by teaching the most in-demand skills for the jobs on the market:
• Acquire the most in-demand skills: Break away from basic reporting and acquire capabilities to apply AI using advanced machine learning with Python to increase your market value and get hired by top companies.
• Job Interview Preparation: Get some informal guidance on how to go through technical interviews, how to present tradeoffs for different models, and how you are going to go through portfolio review rounds.
• Robust Portfolio Development: We will go through a list of verified projects that you will complete as part of the course, where you will go through data cleaning, modeling, and finally the visualization of business metrics.
• Future-Proofing Your Role: As businesses start to automate processes within the workplace, future-proof your role by becoming the creator and supervisor of said automated tools and business systems.
• Broad career options: The graduate will have a wide range of job opportunities to select from, including Data Analyst, Predictive Modeler, Business Intelligence Developer, and Junior ML Engineer positions.

This change in skills and mindset allows our graduates to move up from low-level data jobs (e.g., data entry) and apply for very high-value tech jobs.

What Makes Our 2-Month Machine Learning Classes Highly Efficient?

In a world where time is of the essence for working professionals and busy students alike, our Optimal Machine Learning program has been designed to deliver the most practical, intensive 2 months of training at SevenMentor Institute. The program is specifically designed to ensure that learners spend maximum time in writing Python scripts in interactive development environments and minimum time in going through dry academic proofs and lecture slides.

The fastest way to learn and be a competent data scientist in the shortest possible time is by going through a fast-tracked model. Here at SevenMentor Institute, we have structured our machine learning classes in the following manner:

• Accelerated Practical Timeline: Get through a full data science program within 8 weeks of time while learning the most important concepts to get you started on your career in the field of data science.
• Optimized Class Schedule: Our classes have shorter introduction parts and are followed by hours of coding and hands-on experience, doing projects and solving problems in our development environments and writing and testing Python code.
• Work on rapid mini-assignments: Students and working professionals complete a series of weekly small projects where they can immediately put their knowledge of regression, classification, and clustering into practice.
• Code Reviews & Troubleshooting: Get a handle on coding best practices and your bad coding habits immediately, before they become part of the code you write at work. Your instructor can troubleshoot any problems you run into while going through your hands-on coding examples.
• Blended Learning Environments: Learning as you want it—Our classes are held at the SevenMentor Institute and are live-streamed. So you can choose to attend classes in person or go to the online stream. Absolute flexibility.

How Does Our Quality Assurance Protect Your Learning Experience?

A lot of IT institutes fail to deliver in terms of quality of training and placement. We at SevenMentor also go through many student rants and forums where similar issues are reported. We at SevenMentor re-engineer our processes to tackle the same and convert the flaws into guarantees for our students.

Our machine learning training program comes with a protective quality framework to prevent inconsistent results:

• Vetted Senior System Architects Only: We do not include academic-only faculty members or even junior trainers; rather, all batches are conducted by seasoned data architects and professionals who have years of hands-on coding experience at production levels.
• Only Transparent Job Descriptions: We also vet the job descriptions for hiring posted by the job partners in the placement cell at SevenMentor and only confirm only the verified job descriptions for hiring from the job partners.
• No unfair penalties for refusal of job offer: We respect your hard work and do not punish you for refusal of a job offer due to a decrease in salary or change in technical roles promised by the company. Your chances of getting interviews will not be affected by the refusal of a job offer from another company.
• No Hidden Charges After Placement: There are no surprise charges levied after the student has been placed after the training. Any additional fees for any services are clearly detailed in the fee structure shared at the time of enrollment for the machine learning training program.
• Classroom Mode Continues Uninterrupted: As mentioned above, offline students will have all their classes conducted in-person only, and there shall be no abrupt shift to online mode in the middle of the course.

SevenMentor’s courses are designed with the specific purpose of filling in the gaps of typical programs. Our machine learning classes offer a safe and honest environment in which you can develop your skills to gain the best possible jobs for your future.

How Does Interdisciplinary Training Enhance Your Machine Learning Career?

Most modern engineering teams are looking for data professionals that can work seamlessly with web applications, cloud platforms, and large enterprise data systems. We have provided several paths for students to integrate their core predictive modeling skills with industry-leading systems and technology to build scalable systems for real business problems.

Depending on your specific career roadmap, our training ecosystem allows you to bridge your core modeling skills with adjacent high-value tracks:

• Data Science: Process raw data and learn how to engineer features in order to power production-level data-driven web applications.
• Data Analytics & Power BI: User behavior tracking and beautiful automated reporting in data visualization dashboards for business executives and managers.
• Python, Java, & Salesforce: How to write backend code of a web application (for example, of an enterprise type) that processes input data and returns results in real time on the basis of predictions made by a machine learning model, possibly also storing them. This could be a web application of an enterprise type but also a custom-built web application of the CRM type of a CRM (customer relationship management) system that ingests data in real time processed by a machine learning model.
• Cloud Computing & DevOps: Deployment of highly scalable microservices and of continuous integration / continuous deployment (CI/CD) pipelines on AWS or Azure.
• Generative AI, AI Course, & ChatGPT Course: Learn to build new intelligent applications and integrate them with custom-built chatbots after you have gone past classical statistical modeling.
• Cyber Security: Implement and manage authentication solutions in order to secure web applications against malicious adversarial data.
• SAP Systems: Connect your finished predictive pipelines with global enterprise-level solutions to optimize your organization’s logistics and the entire corporate supply chain.

So while you’re learning to connect your machine learning pipelines to web applications, learn to become a systems architect who can develop end-to-end business automation.

Got Questions? Here Are Some FAQs

Q1. What is a Machine Learning course?

A Machine Learning course teaches how to build intelligent programs that can learn, adapt and improve from experience without being explicitly programmed. In a Machine Learning course you will learn how to analyze data, how to build models, and how to apply Machine Learning in real life situations using AI.

Q2. Who can join a Machine Learning course?

All kinds of learners, including students, working professionals, software developers and data enthusiasts from industries all over the world can apply for a Machine Learning course if they have basic knowledge of programming and math.

Q3. What are the career opportunities after a Machine Learning course?

After completing a Machine Learning course, you can look for a job of a Machine Learning Engineer, an AI Engineer, a Data Scientist, a Data Analyst or an NLP Engineer in various industries.

Q4. Do I need coding knowledge to learn Machine Learning?

A beginner Machine Learning course would expect the student to have some prior knowledge of coding (not necessarily a lot of it), especially in Python as it the most common language for ML. The courses for absolute beginners, would also teach the required programming concepts from scratch.

Q5. How long does it take to complete a Machine Learning course?

Duration of Program varies from 2 to 6 months, depending on the Machine Learning training program i.e. ONLINE / CLASSROOM or the level of program i.e. BEGINNER / INTERMEDIATE / ADVANCED.

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