Master future skills through Machine Learning Course With GenAI Integration

Machine Learning Course Online FAQs

• What is the Professional Certificate Course in Generative AI and Machine Learning?

  This is an 11-month comprehensive online program designed to provide a deep understanding of artificial intelligence, machine learning, and generative AI. Delivered by Simplilearn in collaboration with E&ICT Academy, IIT Kanpur, the course combines theoretical knowledge with applied learning through live classes, hands-on projects, and masterclasses from IIT Kanpur faculty, preparing participants for advanced roles in the AI domain.

  • Core Objective: The course aims to provide in-depth coverage of machine learning, deep learning, Natural Language Processing (NLP), generative AI, prompt engineering, computer vision, and reinforcement learning.

  • Collaborative Delivery: It is a collaboration between Simplilearn and E&ICT Academy, IIT Kanpur, with content alignment from industry leaders like Microsoft, ensuring both academic rigor and industry relevance.

  • Learning Format: It employs a live, online, and interactive format with virtual classroom sessions led by industry experts and mentorship to create an immersive learning environment.

  • Certification: Upon successful completion, participants receive a program completion certificate from E&ICT Academy, IIT Kanpur, a prestigious credential that validates their skills.

•  What does an AI professional do?

  While the term ‘AI professional’ is broad, they are known to be the ones designing, developing, and implementing AI models and algorithms with the intention of solving complex problems and improving overall performance. They are usually proficient in:

  • Machine learning

  • Deep learning

  • Natural language processing (NLP)

  • Building intelligent systems

  • Automation and decision-making modules

  Proficiencies aside, they also work with other teams to better integrate AI into the business, optimize processes, and ensure ethical practices are followed.

• How effective are the machine learning course trainers at Simplilearn?

   

  The trainers at Simplilearn bring with them a strong mix of industry expertise and practical experience into each live session. They specialize in core machine learning concepts covering algorithms, model building and evaluation, unsupervised learning techniques and recommendation engines to name a few. They help learners build confidence by simplifying the learning material into explanations that are easy to digest focusing on the foundations.

  Apart from delivering content, they focus on keeping every session interactive and engaging and even make themselves available afterward to clarify doubts and support learners throughout their learning journey.

   

• What are the benefits of enrolling in this GenAI and machine learning course?

  This gen AI and machine learning course will provide you with a strong foundation in advanced AI skills and techniques, focusing on concepts like machine learning training, deep learning, natural language processing, generative AI, and reinforcement learning, opening the doors to opportunities in AI development, data science, and automation. Some benefits of this course include:

  • A certificate of completion from E&ICT Academy, IIT Kanpur

  • Masterclasses conducted by esteemed IIT Kanpur faculty

  • Official trophies and badges from Microsoft, hosted on its Learn portal

  • Applied learning through 25+ hands-on projects

  • The opportunity to engage in 15+ tools with seamless access to integrated labs

  • Exposure to popular tools in AI including ChatGPT, Hugging Face, DALL-E 2, and Gemini

• What certificate will I receive from this GenAI and machine learning course?

  Completing this machine learning course will earn you a program certificate from E&ICT Academy, IIT Kanpur. This industry-recognized certificate will validate your machine learning skills and set you up for further success in multiple industries. What's more, the program's collaboration with Microsoft also means you will earn official trophies and badges hosted on the Microsoft Learn Portal.

• Is this course really 100% online? Do I need to attend any classes in person?

  This Machine Learning Course is entirely online, so there's no need to be in a classroom in person. You can access your lectures, readings and assignments anytime and anywhere via the web or mobile.

• What will be the expected salary after completing the machine learning course?

  The machine learning market size is expected to be valued at $18.96 billion by 2031, growing at a CAGR of 32% from 2025 to 2031. As companies rely more on AI and machine learning adoption, there's an increased demand for qualified professionals, leading to more jobs and better pay. Today, the average annual salary an AI and ML professional can earn is ₹11.5 Lakhs. Remember that earning potential can vary based on location and experience, but completing a machine learning course can boost your prospects further.

• What will be the career path after completing this GenAI and machine learning Course?

  Artificial intelligence and machine learning have been and will continue to be in high demand. Completing this course will give you all the necessary skills and open the doors to some top job roles, including:

  • Data scientist

  • Machine learning engineer

  • Computer vision engineer

  • Data architect

• Does Simplilearn have corporate training solutions?

  Yes, we provide corporate training solutions. Simplilearn for Business collaborates with companies, providing their workforce with digital skills for development. We offer diverse training solutions, from short skill-based certification training to role-based learning. We also offer Learning Hub+ — a library with unlimited live and interactive solutions. Our curriculum consultants work with each client to select and deploy the learning solutions that best meet their teams’ needs and objectives.

• Are there any other online courses Simplilearn offers under AI & Machine Learning?

  Absolutely! Simplilearn offers plenty of options to help you upskill in  AI & Machine Learning. You have the opportunity to take on advanced courses or specialized ones to sharpen specific skills. These generative ai certifications are designed to elevate your knowledge and keep you competitive in the  AI & Machine Learning field. Similar programs that we offer under AI & Machine Learning

  • Generative AI for Business Transformation

  • Professional Certificate Program in Generative AI and Machine Learning

  • Introduction to Generative AI

• Will missing a live class affect my ability to complete the course?

  Missing a live class will not affect your ability to complete the course. You can use our 'Flexi-Learn' feature, which allows you to watch the recorded session of any class you miss, at your convenience. This allows you to stay on par with the machine learning course content and meet the requirements to progress and earn your certificate. You can do this via the Simplilearn learning platform by selecting the missed class and watching the recording to have your attendance marked.

• What are the eligibility criteria to enroll in this Professional Certificate Course in Generative AI and Machine Learning?

  Simplilearn’s Professional Certificate Course in Generative AI and Machine Learning is suitable for both newcomers and experienced professionals. To be eligible tfor this course, applicants must:  

  • Have a bachelor's degree in any relevant field

  • Preferably, have a basic understanding of artificial intelligence

  • Preferably, have work experience

• What is the review of Simplilearn’s Professional Certificate Course in Generative AI and Machine Learning?

  Simplilearn continually receives positive reviews from its alumni for GenAI and machine learning courses. Learners usually praise the program's hands-on approach to projects, its industry-aligned curriculum, and its expert instructors who guide learners to success. Past learners have also highlighted the value of the program's certificates and the flexible learning options available. You can check out the Simplilearn alumni review page to get a better understanding of past reviews.

• Can I change my cohort after enrolling in the program?

  Yes. You are eligible for one complimentary cohort change within the first 60 days of your enrollment. If you cannot continue in your current cohort and, have already used your complimentary change, you may request an additional cohort transfer by paying the applicable fee. For details on the process and support with your request, please contact our support team.

• Can I get an extension if I need more time to complete the program?

  Yes. If your program access has expired and you still have pending assignments or projects, you can request either an extension of 30 days OR 3 months by paying a nominal fee. During this extension, you can access recorded sessions from the current cohort and complete your remaining learning requirements.

• Who is the ideal candidate for this machine learning course?

  This machine learning course is designed for professionals from various backgrounds seeking to advance their careers in the rapidly growing field of artificial intelligence. It is well-suited for individuals in technical roles who want to acquire a formal, in-depth understanding of AI and ML principles and apply them to solve complex business problems.

  • The program is ideal for developers, IT practitioners, and software engineers aiming to specialize in AI and machine learning.

  • Technology consultants, data engineers, and solution architects will find the course valuable for designing and implementing AI-driven solutions.

  • Product managers can leverage the program to understand how to integrate AI capabilities into their products and roadmaps.

  • A bachelor's degree with an average of 50 percent or higher marks is a prerequisite for admission.

  • While not mandatory, having at least two years of formal work experience is preferred to better contextualize the course material.

• How is the learning experience structured in this online program?

  The program is structured as an immersive experience that blends live instruction with self-paced learning and hands-on practice to ensure comprehensive skill development. This model provides the engagement of a traditional classroom with the flexibility of online education, catering to the needs of working professionals.

  • Live Virtual Classrooms: The core curriculum is delivered through live online sessions with industry experts, allowing for real-time interaction and doubt clarification.

  • Peer-to-Peer Engagement: Learners interact with their cohort and mentors through platforms like Slack, fostering a collaborative environment.

  Flexible Learning: The "Flexi Learn" feature provides access to recordings of missed live sessions, ensuring participants can maintain their learning progress.

• What is the role of the E&ICT Academy, IIT Kanpur, in this program?

  The Electronics & ICT (E&ICT) Academy at IIT Kanpur provides crucial academic oversight, credibility, and expert instruction to the program. As a prestigious institution established in partnership with the Ministry of Electronics and Information Technology (MeitY), Government of India, its involvement ensures the curriculum is both industry-focused and academically rigorous.

  • Official Certification: The E&ICT Academy awards the final program completion certificate to participants who successfully finish the course.

  • Faculty-Led Masterclasses: Participants gain exclusive access to live, interactive online masterclasses delivered by distinguished faculty members from IIT Kanpur.

  • Academic Rigor: E&ICT Academy, IIT Kanpur, ranked 2nd nationally in Data Science and AI, ensures the program's content bridges the gap between theoretical knowledge and practical skills.

  • Program Credibility: The collaboration with a top-tier institution like IIT Kanpur lends significant prestige and value to the certificate.

  • Curriculum Guidance: The involvement of IIT Kanpur faculty helps shape the curriculum, ensuring it covers foundational principles as well as cutting-edge topics.

  • Bridging Theory and Practice: The academy's mandate is to provide industry-driven courses, and its participation guarantees the program is focused on practical, hands-on learning.

• What makes this program different from a standard self-paced machine learning course online?

  This program is fundamentally different from self-paced or MOOC-style online courses through its blended, high-touch learning model that prioritizes learner engagement, support, and verifiable outcomes. Unlike the isolated experience of watching pre-recorded videos, this course is designed as a structured online bootcamp to ensure high completion rates.

  • Live, Interactive Learning: The core curriculum is delivered via live virtual classrooms with industry experts, which fosters real-time engagement, a feature absent in most self-paced courses.

  • University Credential: The certificate is awarded by E&ICT Academy, IIT Kanpur, offering a level of academic prestige that a standard certificate of completion cannot match.

  • Comprehensive Support System: Learners are supported by a dedicated Cohort Manager, mentoring sessions, and a peer group on Slack.

  • Faculty Masterclasses: The inclusion of exclusive masterclasses from IIT Kanpur faculty provides a level of academic depth and expert insight that is a key differentiator.

• What is the capstone project, and how does it work?

  The capstone project is the culminating component of the machine learning course, designed to allow participants to apply their comprehensive knowledge and skills to a real-world industry problem. It serves as a practical demonstration of a learner's ability to manage an entire AI/ML project lifecycle.

  • Project Objective: Participants tackle real industry challenges head-on, applying the concepts and tools learned throughout the program to a substantial project.

  • Mentorship and Guidance: Throughout the project, learners receive guidance from expert mentors who assist with problem-solving and ensure the project stays on track.

  • Practical Application: The project requires performing exploratory data analysis, building and fine-tuning models with advanced AI algorithms, and presenting the final results.

  • Portfolio Building: It marks the culmination of the learning journey and provides a significant asset for a professional portfolio.

  • Demonstrating Proficiency: The project validates a learner's hands-on experience in the AI decision cycle, from understanding a dataset to interpreting model output.

  • Industry Relevance: Capstone challenges are designed to be relevant to current industry needs, ensuring the experience is valuable for career advancement.

  • Skill Synthesis: It requires synthesizing skills from across the curriculum, including latest machine learning, deep learning, data science, and generative AI techniques.

• What specific AI tools and platforms are covered in the curriculum?

  The curriculum provides hands-on experience with more than 16 of the latest AI tools and platforms used in the industry. The program is designed to move beyond theory, ensuring participants gain practical proficiency by working directly with the technologies that power modern AI and machine learning applications.

  • The program covers core programming and data science libraries, including Python, NumPy, Scikit-Learn, and Matplotlib.

  • For deep learning, participants work with leading frameworks such as TensorFlow and Keras.

  • There is significant exposure to generative AI tools, including ChatGPT, OpenAI, Google's Gemini, DALL-E 2, and platforms like Hugging Face.

  • For developing and deploying AI applications, the curriculum includes tools like Langchain, Gradio, and Django.

  • Specialized libraries for NLP and computer vision, such as NLTK and OpenCV, are also covered.

• What technical skills are developed by the end of the program?

  By the end of this 11-month program, participants will have mastered a comprehensive set of over 15 technical and strategic skills essential for a successful career in AI and machine learning. The curriculum is structured to build practical competencies that bridge the gap between AI technology and business value.

  • Generative AI Proficiency: Participants develop deep skills in Generative AI, Prompt Engineering, Large Language Models (LLMs), and understanding different Generative AI Architectures and Linear Models.

  • Machine Learning Expertise: The curriculum ensures a solid foundation in Machine Learning Algorithms, Model Training and Optimization, and Ensemble Methods.

  • Deep Learning and Specializations: Learners gain expertise in Deep Learning, Natural Language Processing (NLP), Computer Vision, and Reinforcement Learning.

  • Core ML Competencies: Skills in Supervised and Unsupervised Learning are foundational, along with robust techniques for Model Evaluation and Validation.

  • Voice and Speech Technologies: The program includes specialized training in Speech Recognition, enabling the development of voice-assisted tools.

  Model Application and Validation: A key outcome is the ability to apply popular machine learning and deep learning techniques to NLP and validate models using various accuracy metrics.

• How does the course cover advanced topics like Deep Learning and NLP?

  The course provides dedicated, in-depth modules on advanced topics like Deep Learning and Natural Language Processing (NLP) to ensure learners gain specialized, practical skills. These modules are integrated into the core learning path and are supplemented by elective courses for even deeper exploration.

  • Deep Learning Specialization: A core module focuses on Deep Learning with Keras and TensorFlow, covering neural networks, CNNs for object detection, RNNs, and autoencoders.

  • Advanced NLP Elective: An elective course on NLP and Speech Recognition delves into applying ML algorithms to process natural language data, including feature engineering and building Alexa skills.

  • Computer Vision Elective: A separate elective on Advanced Deep Learning and Computer Vision covers complex neural network architectures and deploying deep learning models

  • Transformer Models: The Deep Learning module specifically covers Transformer Models for NLP, a critical component of modern language understanding and generative AI systems.

• How are prompt engineering and Large Language Models integrated into the curriculum?

  Prompt engineering and Large Language Models (LLMs) are central components of the program's generative AI curriculum, integrated through two dedicated core modules. This focus ensures that learners acquire cutting-edge skills in controlling and customizing the outputs of powerful AI models.

  • Essentials Module: The module "Essentials of GenAI, Prompt Engineering & ChatGPT" introduces the foundational concepts and explains why prompt engineering is critical for crafting customized outputs.

  • Advanced Module: The "Advanced Generative AI" module builds on this foundation, covering LLM architecture, LangChain for workflow design, and advanced prompt engineering techniques.

  • Hands-on Application: Participants learn how to develop applications using LLMs and gain experience in LLM fine-tuning and customization for specific tasks.

  • Model Analysis: The curriculum includes analysis of advanced models like GPT and BERT, contrasting their architectural goals to provide a deeper understanding of how LLMs function.

  • Practical Projects: Projects like creating a "Virtual Project Management Consultant" with ChatGPT require developing and refining prompts to achieve specific, high-quality outcomes.

  • Evaluation Techniques: The program covers methods for benchmarking and evaluating the capabilities of different LLMs, a crucial skill for deploying these models in a business context.

  • Ethical Considerations: The curriculum also addresses the ethical considerations involved in using LLMs and prompt engineering, ensuring a responsible approach to AI development.

• What kind of hands-on projects are included in the learning path?

  The learning path includes over 15 industry-aligned projects that provide extensive hands-on experience in applying generative AI and machine learning to solve practical business problems. These projects are designed to reinforce concepts and allow participants to build a strong portfolio of work.

  • Projects like "Predicting Employee Attrition with Machine Learning" and "Home Loan Data Analysis" involve building predictive models to solve common business challenges.

  • Several projects focus on generative AI, such as "ChatGPT-Based Storytelling" and creating a "Text-to-Design Platform with DALL-E and Gradio".

  • Participants work on practical applications like developing an "AI-Powered HR Assistant with GPT and Gradio" to extract information from policy documents.

  • Data analysis projects include "Sales Strategy Analysis" and "Road Safety Analysis of Autopilot Feature" using real-world accident data.

  • Deep learning skills are applied in projects like "Diabetic Retinopathy Detection with CNN and TensorFlow" and building a "Facial Recognition System".

• How does the program incorporate Microsoft Azure?

  The program incorporates Microsoft Azure as a key technology partner, providing learners with exposure to industry-standard cloud AI services and an official Microsoft credential. This integration ensures that participants not only understand AI concepts but also know how to deploy and manage them on a leading cloud platform.

  • Dedicated Elective Course: The curriculum includes an elective course titled "Microsoft Azure AI Fundamentals," which is delivered through self-paced resources on the Microsoft Learn platform.

  • Fundamental Principles: This course covers the fundamental principles of machine learning on Azure, describing how to work with AI workloads and related considerations.

  • Service Exposure: Learners are introduced to the features of computer vision, NLP, and generative AI workloads, specifically on the Azure platform.

  • Official Microsoft Credentials: Upon completion of the Azure course, participants earn official trophies and badges for "Microsoft Azure AI Fundamentals," which are hosted on their Microsoft Learn portal.

  • Industry Recognition: This collaboration adds a valuable, industry-recognized certification to a learner's profile, demonstrating proficiency with Microsoft's AI tools.

  • Practical Relevance: Familiarity with a major cloud platform like Azure is a highly sought-after skill, making graduates more competitive in the job market.

  • Cloud AI Understanding: The module ensures graduates understand how AI solutions are developed and deployed in a real-world, cloud-based environment.

  • Holistic Skill Set: This integration complements the program's focus on open-source tools, providing a more holistic and versatile skill set.

• What are the career advantages of completing this GenAI and Machine learning course?

  Completing this program provides significant career advantages by equipping participants with a specialized skill set and a prestigious credential from E&ICT Academy, IIT Kanpur. It positions graduates to take on advanced roles in a job market where the demand for skilled AI and ML professionals continues to surge.

  • Elite Certification: Earning a certificate from E&ICT Academy, IIT Kanpur, provides a powerful, industry-recognized credential that validates expertise.

  • Cutting-Edge Skills: The curriculum focuses on the latest advancements, including generative AI, LLMs, and prompt engineering, ensuring graduates are equipped with AI skills that are in high demand.

  • Comprehensive Expertise: The program covers a wide range of topics from popular machine learning techniques to NLP and computer vision, preparing graduates for diverse challenges.

  • Career Advancement: The course is designed for professionals aiming to transition into or advance within high-growth roles like Machine Learning Engineer, AI/ML Developer, and AI Solutions Architect.

• Is the program certificate recognized by major employers?

  Yes, the program completion certificate is highly recognized by major employers and corporations globally. Its value stems from the combined credibility of E&ICT Academy, IIT Kanpur, a top-ranked national institution, and a curriculum designed to meet the current demands of the technology industry.

  • IIT Kanpur Credibility: The certificate is issued by E&ICT Academy, IIT Kanpur, an institution that is among the most prestigious in India and ranked 2nd nationally in Data Science and AI.

  • Representation from Top Companies: The program's batch profile includes professionals from leading global firms such as Amazon, Cognizant, Deloitte, PricewaterhouseCoopers, Ernst & Young, Dell, and Wells Fargo, indicating strong corporate validation.

  • Industry-Relevant Curriculum: The hands-on curriculum, covering over 16 tools and 15 skills, is designed to produce job-ready graduates, making them highly attractive to recruiters.

  • Microsoft Co-skilling: The inclusion of official Microsoft badges for the Azure AI Fundamentals course further enhances the certificate's recognition with employers who utilize the Microsoft technology stack.

  • Alumni Network: The diverse cohort, with strong representation from the IT and Consultancy sectors, provides a valuable professional network that can lead to career opportunities.

  • Proven Career Impact: The program is explicitly designed to help participants advance their careers, with our Career Assistance services providing additional support.

• What job roles does this program prepare learners for?

  This GenAI and Machine Learning course prepares learners for a variety of high-demand, specialized roles within the AI and technology sectors. The comprehensive curriculum provides the necessary skills to develop, implement, and architect intelligent systems across different industries.

  • Machine Learning Engineer: Graduates are prepared to develop and implement ML models and algorithms to solve complex problems.

  • AI/ML Developer: The program equips learners to integrate AI and ML solutions into software applications to enhance functionality and performance.

  • AI Solutions Architect: Participants gain the skills to design and oversee the implementation of AI-driven solutions that align with business goals.

  • Data Scientist: With a strong foundation in data science, machine learning, and deep learning, graduates are well-positioned for data scientist roles.

  • Computer Vision Engineer: The specialized elective and projects prepare individuals for roles focused on image and video analysis.

• What salary benefits can be expected after completing this machine learning course?

  While this program focuses on strategic upskilling, mastering Generative AI and Machine Learning can lead to significant salary benefits. The demand for professionals with these skills is surging as companies increasingly adopt AI, which directly translates to premium compensation and strong career growth potential.

  • Market Growth: The machine learning market is projected to grow at a CAGR of 32% from 2025 to 2031, indicating a rapid increase in demand for qualified professionals.

  • High Demand: As businesses rely more on AI to enhance decision-making and automate processes, the need for skilled talent continues to drive salaries upward.

  • Average Salary: In India, the average annual salary an AI and ML professional can earn is ₹11.5 Lakhs, with significant potential for increases based on experience and specialization.

  • Economic Impact: Generative AI is expected to add up to $4.4 trillion in value to the global economy annually, and professionals who can harness this technology are compensated accordingly.

  • Role-Based Compensation: Specialized roles like Deep Learning Engineer and AI Solutions Architect, which this program prepares for, often command higher salaries.

  • Basis for Higher Pay: The ability to build solutions that drive efficiency and inform strategic decisions is a high-value skill that employers are willing to pay a premium for.

  • Career Trajectory: Completing the course opens doors to more senior roles, which naturally come with higher compensation packages.

• What kind of companies hire graduates from this program?

  Graduates of this program are sought after by a wide range of companies, from multinational technology corporations to leading consulting firms and financial institutions. The program's batch profile demonstrates that learners come from and are hired by some of the most prominent organizations in the global economy.

  • Global Technology Leaders: Companies like Amazon, Dell, and Infosys are well-represented, indicating a strong demand for these skills in the core tech industry.

  • Top Consulting Firms: The "Big Four" professional services firms, including PricewaterhouseCoopers (PwC), Deloitte, and Ernst & Young (EY), hire graduates for their technology and AI consulting practices.

  • IT and Services Giants: Major IT services companies such as Tata Consultancy Services (TCS), Cognizant, Accenture, and Genpact are prominent in the learner and alumni network.

  • Financial Services Sector: Leading banks and financial institutions like Citigroup and Wells Fargo hire AI and ML experts for roles in data analysis and risk management.

  • Diverse Industries: The skills learned are applicable across many sectors, so graduates can find roles in manufacturing, healthcare, retail, and more.

  • BFSI Sector: The Banking, Financial Services, and Insurance (BFSI) industry represents 15% of the program's industry distribution, highlighting strong demand in this area.

  • EdTech and Startups: Graduates are also well-suited for roles in innovative EdTech companies and other technology startups that are building AI-powered products and services.

  • Broad Applicability: The diverse list of represented companies shows that the skills acquired are not limited to a single industry but are transferable across the entire business landscape.