Simplilearn AI ML Course: Master AI and Machine Learning Skills

The Simplilearn AI ML Course is a comprehensive program designed to equip you with the skills needed to succeed in the field of Artificial Intelligence and Machine Learning.

This course covers a wide range of topics, including deep learning, natural language processing, and computer vision.

With a focus on practical application, you'll learn how to implement AI and ML concepts in real-world projects.

By the end of the course, you'll have developed a strong foundation in AI and ML, and be well-prepared to tackle complex projects and challenges.

The course is taught by industry experts with extensive experience in AI and ML, ensuring you receive the best possible instruction and guidance.

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Our Simplilearn AI ML course is designed to give you a competitive edge in the field of no-code AI and machine learning. You'll gain hands-on experience across diverse subjects such as data collection, data cleaning, and machine learning algorithms.

With our comprehensive AI and Machine Learning Bootcamp, you'll delve into advanced topics such as ensemble methods, SVM, ANNs, and NLP. This extensive bootcamp will prepare you for a successful career in AI and ML.

You'll master no-code AI and ML platforms, enabling you to perform data analysis, build models, and make data-driven decisions with ease.

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The scope of AI and Machine Learning is vast and rapidly expanding. This field has numerous applications in various industries, including Healthcare, Education, Finance and Banking, Security and surveillance, Infrastructure, and transport.

India is at the forefront of AI adoption, ranking 1st in the adoption of AI despite the challenges caused by the Covid pandemic. AI is being deployed in various fields, such as Customer support, finance, tax, IT, and marketing.

The government is planning to introduce AI in Education, Healthcare, and other sectors, which will further increase the demand for AI and Machine Learning skills. With the growing importance of AI, numerous tech startups are expected to emerge, creating more job openings in the field.

Here are some key industries that are expected to benefit from AI and Machine Learning:

These industries are expected to see a significant increase in AI adoption, leading to a high demand for professionals with AI and Machine Learning skills.

Our AI Bootcamp is designed to bring together learners from diverse backgrounds and industries. This creates a unique and dynamic learning environment that fosters collaboration and knowledge sharing.

The class consists of learners from various sectors, with a strong presence from the Information Technology industry, making up 43% of the cohort. This provides a great opportunity to learn from professionals with hands-on experience in AI and ML.

You'll have the chance to interact with learners from different industries, including Software Product, Manufacturing, Pharma & Healthcare, BFS, and Others, which makes up the remaining 57% of the cohort. This diversity brings intensity to classroom conversations and interactions.

Here's a breakdown of the industries represented in our AI Bootcamp:

This diverse mix of learners creates a rich learning environment that's perfect for those looking to gain practical experience in AI and ML.

The Generative AI and Machine Learning course covers a wide range of topics, including machine learning, deep learning, NLP, generative AI, reinforcement learning, computer vision, and more.

This comprehensive curriculum combines theory with hands-on practice through live virtual sessions, projects with integrated labs, and masterclasses by IIT Kanpur faculty.

You'll gain expertise in Python programming, exploratory data analysis, supervised and unsupervised learning, deep learning, generative AI, prompt engineering, LLMs, NLP, and much more.

The course also delves into advanced topics such as ensemble methods, SVM, ANNs, and NLP, giving you a solid understanding of the subject matter.

Through practical experience, you'll master no-code AI and ML platforms, enabling you to perform data analysis, build models, and make data-driven decisions with ease.

The program empowers you with the expertise needed to thrive in your career, making you adept at addressing intricate challenges and remaining at the forefront of the AI & ML field.

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The Simplilearn AI ML course offers a range of benefits to help you succeed in your career. You'll receive a certificate from E&ICT Academy, IIT Kanpur, which is a great addition to your resume.

Upon completion, you'll have access to hands-on learning via 165+ exercises and 15+ projects, giving you practical experience to tackle complex challenges. You'll also have exposure to ChatGPT, DALL-E 2, Hugging Face, and other tools, making you more versatile in the field.

Here are some of the key benefits of the Simplilearn AI ML course:

The AI ML Certification Advantage is a game-changer for your career. You'll gain the skills and knowledge to excel in this field with a structured learning approach and industry-relevant projects.

You'll receive a certificate from Purdue University Online and Simplilearn, which is a huge plus on your resume. This certificate is a testament to your dedication and expertise in AI and ML.

The certification program offers 50+ hours of curriculum delivered in live online classes, allowing you to learn at your own pace. This is a significant investment in your career, and the knowledge you gain will be invaluable.

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You'll also have access to Purdue's alumni association membership, which opens doors to a network of professionals in the industry. This is a great opportunity to connect with like-minded individuals and learn from their experiences.

Here are some of the key benefits of the AI ML Certification program:

Upon completing a certification program in AI and ML, you can expect to receive a certificate from a reputable institution such as Purdue University or E&ICT Academy, IIT Kanpur. This certificate is a valuable addition to your resume and can open doors to new career opportunities.

One of the benefits of these programs is the exposure to cutting-edge tools and technologies such as ChatGPT, DALL-E 2, Hugging Face, and more. You'll have the chance to learn from industry experts and gain hands-on experience with these tools.

You can also look forward to a rigorous curriculum that covers the latest developments in the field. For example, the program from Purdue University and Simplilearn covers topics such as generative AI, explainable AI, and prompt engineering.

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Here are some of the benefits you can expect from these programs:

Additionally, you'll have access to alumni association membership, which can provide you with valuable networking opportunities and career support. Some programs, like the one from Purdue University and Simplilearn, also offer Job Assist for career support.

The programs also offer a range of learning opportunities, including live online masterclasses, hands-on learning via exercises and projects, and access to industry-relevant tools and technologies. For example, the program from E&ICT Academy, IIT Kanpur offers masterclasses by distinguished IIT Kanpur faculty and hands-on learning via 165+ exercises and 15+ projects.

The Simplilearn AI & ML course covers a wide range of skills that can boost your career in the field. With 17+ skills covered, you can expect to gain expertise in areas like Generative AI, Prompt Engineering, and ChatGPT.

You'll learn about Model Training and Optimization, as well as Model Evaluation and Validation. This comprehensive training will also cover Ensemble Methods, Deep Learning, and Natural Language Processing.

Here are some of the key skills you'll gain from the course:

With these skills, you'll be well-equipped to handle real-world projects and make a meaningful impact in the industry.

The admission process for the Simplilearn AI and Machine Learning Course is straightforward. The admission fee for this course is $2,500.

To help make this investment more manageable, Simplilearn offers a financing option to spread the cost over time. This can make the course more accessible to a wider range of learners.

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The admission fee for AI and ML courses can vary significantly. The admission fee for the AI and ML Course at Purdue is $4,300, which includes applicable program charges and Purdue Alumni Association membership.

This fee is higher than some other programs. For example, the admission fee for the AI and Machine Learning Course is $2,500.

Purdue's program is not the most expensive option either. The admission fee for another program is $8,000.

You can expect to pay around $2,500 to $4,300 for admission to an AI and ML course. The admission fee for the program with a fee of $2,565 falls within this range.

To apply to this program, candidates can follow a straightforward 3-step process. The application process is designed to be efficient and easy to navigate.

The first step is to submit an application, and if selected, candidates can then proceed to the next step.

The second step involves paying the admission fee, which is required to secure a spot in the program.

Upon payment of the admission fee, selected candidates can officially join the program and begin their studies.

The industry of AI and Machine Learning is booming, with high-paying job opportunities available for those with the right skills. AI and Machine Learning professionals can earn an average of INR 3,00,000 - 10,00,000 per annum, making it a lucrative career choice.

Some of the most in-demand job roles in AI and Machine Learning include Data Scientist, Machine Learning Engineer, and AI Engineer, with salaries ranging from INR 5,93,568 to INR 9,49,364 per annum. Research Scientists and AI Data Analysts also have a wide range of job opportunities, with salaries between INR 5,65,000 and INR 7,00,367 per annum.

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Here's a breakdown of the average annual salaries for different job roles in AI and Machine Learning:

Experience also plays a significant role in determining salaries, with ML Engineers earning an average of INR 5,15,794 per annum with 0-1 years of experience, and INR 20,10,877 per annum with 10 years and above of experience.

Industry projects are a great way to apply theoretical knowledge to real-world problems. Industry projects can be a key differentiator in a resume and can help you stand out in a competitive job market.

Many industry projects involve using machine learning and deep learning techniques to solve complex problems. For example, Project8 uses deep learning concepts to automate a system that detects and prevents faulty situations resulting from human error.

Industry projects can also involve working with real-world datasets to analyze and visualize data. Project1, for instance, explores a sales dataset with Amazon SageMaker Canvas, clean and analyzes data, applies visualization and statistical techniques, and enhances analytical skills.

Some industry projects involve building predictive models to forecast revenue or customer churn. Project2, for example, creates a predictive model to forecast TV ad revenue, improving revenue predictions based on promotional spending and optimizing marketing resource allocation for higher returns.

Industry projects can also involve using techniques like feature engineering and exploratory data analysis to understand complex problems. Project5, for instance, uses Amazon SageMaker Canvas for data analysis and visualization, creating data flows, analyzing results, and uncovering patterns in machine failure to gain valuable insights.

Here are some examples of industry projects:

Industry projects can be a great way to gain practical experience and build a portfolio of work. They can also help you develop skills in data analysis, machine learning, and visualization, making you a more competitive candidate in the job market.

Alumni Reviews are a great way to gauge the quality of a course. The feedback from Simplilearn's alumni is overwhelmingly positive.

Many alumni praise the course material for being "very thoughtfully designed" and easy to understand. This suggests that the course is well-structured and accessible to learners of various backgrounds and skill levels.

Alumni also appreciate the instructors for being "good" and the support team for being "really helpful". This indicates that the course providers are committed to delivering high-quality instruction and support services.

Overall, the positive feedback from alumni is a testament to the effectiveness of Simplilearn's courses in preparing learners for a career in AI.

Jobs in AI and Machine Learning are highly sought after, with many top companies recruiting professionals in this field. Amazon, Flipkart, Deloitte, IBM, and many more are among the best recruiters of AI and Machine Learning professionals in India.

Data Scientist is one of the popular job options in AI and Machine Learning, with an average annual salary of INR 8,64,359. They collect, analyze, and interpret data to develop successful solutions for various market issues.

Machine Learning Engineers perform research, build, and design self-running software that can automate predictive models. They can earn an average of INR 7,26,438 per annum.

Business Intelligence Developers are responsible for developing, deploying, and maintaining BI interfaces, and identifying market patterns by analyzing large data sets. They can earn an average of INR 5,93,568 per annum.

Research Scientists design, undertake, and analyze information collected from laboratory-based investigations, experiments, and trials. They can work in government laboratories, environmental organizations, and more.

Here's a list of popular job roles in AI and Machine Learning, along with their average annual salaries:

Experience also plays a significant role in determining salary. An ML Engineer can earn an average of INR 5,15,794 per annum with 0-1 years of experience, and up to INR 20,10,877 per annum with 10 years and above of experience.