Professional Certificate Course In AI And Machine Learning, Delhi
Become an AI and ML expert with this Machine Learning Course in Delhi. Learn the latest tools and technologies of the AI world through live classes delivered by industry experts, hands-on labs, Industry-relevant projects and masterclasses from distinguished IIT Kanpur faculty.
- Admission Date Announcing Soon
- Program Duration 11 months
- Learning Format Online Bootcamp
World’s #1 Online Bootcamp
Why Join this Program
Fast-track Your Career
After completing Simplilearn courses, learners have made successful career transitions, boosted career growth, and got salary hikes.
Learner’s achievements
Maximum salary hike
150%Average salary hike
70%Hiring partners
2900+Our Alumni In Top Companies
Machine Learning Course Overview
We have curated our curriculum to include crucial topics like Statistics, Machine Learning and many more. Taught through hands-on labs and industry-relevant projects designed to advance your career trajectory, this AI and Machine Learning Course in Delhi will simplify AI and Machine Learning and equip you with the required skills to get you job ready.
Key Features
- Program completion certificate from E&ICT Academy, IIT Kanpur
- Simplilearn's JobAssist helps you get noticed by top hiring companies
- Curriculum delivered in live virtual classroom sessions by seasoned industry experts
- Exposure to the latest AI advancements, such as generative AI, LLMs, and prompt engineering
Machine Learning Course Advantage
Our curriculum empowers you with the expertise needed to thrive in your career. Through systematic learning and practical industry projects, you'll adeptly address intricate challenges and remain at the forefront of the AI & ML field.
Program Benefits
- Program certificate directly issued by E&ICT Academy, IIT Kanpur within 90 days of program completion
- Live-online masterclasses delivered by eminent IIT Kanpur faculty
- Learn about the latest AI trends like generative AI, prompt engineering, ChatGPT and more
Partnering with Microsoft
- Get official trophy and badges hosted on the Microsoft Learn portal
- Acquire an official Microsoft learning path completion transcript
Machine Learning Online Course Details
The course in GenAI and ML covers diverse subjects including Python programming, EDA, supervised and unsupervised learning, deep learning, generative AI, prompt engineering, LLMs, NLP, and much more.
Learning Path
Commence your educational endeavor with our Generative AI and Machine Learning certificate program. Immerse yourself in a distinctive and comprehensive learning experience designed to delve into every facet of the generative AI and machine learning domain, providing you with the essential foundation required to launch your career ambitiously.
- Cutting-edge knowledge: Explore generative AI, prompt engineering, and ChatGPT
- Hands-on skills: Gain practical insights into real-world business applications
- Effective GenAI utilization: Learn to apply Generative AI effectively in various scenarios
- Master prompt engineering: Understand its importance in crafting customized outputs
- Comprehensive grasp of procedural and OOP concepts
- Installation of Python and IDE
- Mastery in utilizing Jupyter Notebook
- Implementation of identifiers, indentations, and comments
- Identification of Python data types and operators
- Understanding different types of Python loops
- Exploration of variable scope within functions
- Explanation and understanding of OOP characteristics
- Introduction to data science and its practical applications
- Grasp the essentials of NumPy
- Investigation into array indexing and slicing techniques
- Application of linear algebra principles in data analysis
- Calculation of central tendency and dispersion measures
- Explanation of null and alternative hypotheses
- Exploration of various hypothesis testing methods including Z-test and T-test
- Understanding the concept of ANOVA (Analysis of Variance)
- Utilization of Pandas for data loading, indexing, reindexing, and merging
- Data preparation, formatting, normalization, and standardization through data binning
- Creation of graphical representations using Matplotlib, Seaborn, Plotly, and Bokeh
- Investigate the machine learning pipeline and MLOps
- Learn about supervised learning and its applications
- Understand methods to identify and prevent overfitting and underfitting
- Visualize variable linearity using correlation maps
- Explore classification algorithms and their practical usage
- Master various unsupervised learning techniques
- Recognize suitable scenarios for unsupervised algorithms and types of clustering
- Develop a recommendation engine using PyTorch
- Differentiate between deep learning and machine learning
- Understand neural networks, including forward and backward propagation
- Utilize TensorFlow 2 and Keras for model development
- Enhance model performance and interpret results effectively
- Explore convolutional neural networks (CNNs) and transfer learning for object detection
- Learn about recurrent neural networks (RNNs) and autoencoders
At the end of the Machine learning course, participants embark on a capstone project, where they get to put their newfound skills into action. With guidance from mentors, they tackle real industry challenges head-on. This project isn't just the final stretch of their learning journey; it's also a chance to show off their abilities to potential employers in a real-world context.
Electives:
Engage in enlightening online interactive masterclasses led by distinguished faculty members from the esteemed institution of IIT Kanpur. These masterclasses provide invaluable insights into the latest advancements in technology and techniques across the expansive domains of Data Science, Artificial Intelligence (AI), Generative AI (GenAI), and Machine Learning. Through comprehensive discussions and presentations.
- Attain a thorough understanding of computer vision
- Develop expertise in complex neural network architectures
- Learn image creation and manipulation techniques
- Explore CNNs for essential image analysis
- -Master object recognition and localization using CNNs
- Apply OCR methods for document digitization
- Gain insights into eXplainable AI (XAI) techniques
- Efficiently deploy deep learning models
- Explore machine learning algorithms for natural language processing
- Focus on comprehension, feature design, and generation
- Learn automated speech recognition and conversion techniques
- Develop voice assistance tools, including Alexa skills creation
- Emphasize practical application and implementation
- Learn foundational principles of reinforcement learning (RL)
- Explore various RL approaches using Python and TensorFlow
- Apply RL techniques and algorithms for problem-solving
- Gain practical experience in tackling RL challenges
- Transformers' significance in modern AI
- Neural networks' suitability for generative tasks
- Differentiate generative model types: VAEs, GANs, transformers, autoencoders
- Appropriate scenarios for diverse generative AI models
- Assess attention mechanisms' efficacy in generative tasks
- Analyze GPT and BERT, contrasting their architectural goals in generative AI
- Langchain and Workflow Design
- Advanced Prompt Engineering Techniques
- LLM Application Development
- LLM Fine-Tuning and Customization
- Benchmarking and Evaluation of LLM Capabilities
Career Support
Simplilearn JobAssist Program
Simplilearn Job Assist program is an India Specific Offering in partnership with IIMJobs.The Program offers extended support to certified learners to land their dream jobs.
IIMJobs Pro-Membership of 6 months for free
Resume building assistance to create a powerful resume
Spotlight on IIMJobs for highlighting your profile to recruiters
Industry Trends
The demand for AI Engineers is experiencing a rapid surge, expected to escalate by approximately 20% in the creation of new jobs. According to projections by IBM, the realm of AI is set for an upswing, with an estimated 2.5 to 3 million roles anticipated to emerge.
$267 billionExpected Global AI Market Value By 2027
40.2%The annual growth rate for the global AI market
$15.7 trillionExpected Total Contribution Of AI To The Global Economy By 2030
Companies Hiring AI Engineers
Batch Profile
The diversity of our cohorts brings intensity to classroom conversations & interactions. Our AI and ML course caters to learners from an array of sectors and experiences.
- The class consists of learners from excellent organizations and diverse industriesIndustryIT - 40%Consultancy - 30%Other - 15%BFSI - 15%Companies
Learner Reviews
Admission Details
Application Process
The application process consists of 3 simple steps. An offer of admission will be made to the selected candidates and can be accepted by the candidates by paying the admission fee.
Submit Application
Tell us a bit about yourself and why you want to do this course
Application Review
An admission panel will shortlist candidates based on their application
Admission
Selected candidates can join the program by paying the admission fee
Eligibility Criteria
For admission to this Artificial Intelligence Course, candidates should have:
Admission Fee & Financing
The admission fee for this AI and Machine Learning Course is ₹ 1,53,400 (Incl. taxes)
Financing Options
We are dedicated to making our programs accessible. We are committed to helping you find a way to budget for this program and offer a variety of financing options to make it more economical.
Easy Financing Options
We have partnered with the following financing companies to provide competitive finance options at as low as 0% interest rates with no hidden cost.
Other Payment Options
We provide the following options for one-time payment
- Internet
Banking - Credit/Debit
Card
₹ 1,53,400
(Incl. taxes)
Apply Now
Program Benefits
- Certificate from E&ICT Academy, IIT Kanpur
- Masterclasses by distinguished IIT Kanpur faculty
- Exposure to ChatGPT, DALL-E 2, Hugging Face & other tools
- 25+ hands-on projects with capstones in 3 domains
- Simplilearn's Job Assist for career support
Program Cohorts
There are no cohorts available in your region currently
Machine Learning Certification FAQs
What are the eligibility criteria for this AI and Machine Learning Course in Delhi?
For admission to this Machine Learning Course in Delhi, candidates should have:
- A bachelor's degree with an average of 50 percent or higher marks
- Prior knowledge or experience in programming and mathematics
- Preferably 2+ years of formal work experience
Who is this Machine Learning Course in Delhi ideal for?
Professionals eager to develop AI and ML expertise with the objective of:
- Enhancing effectiveness in their current role
- Transitioning to AI roles in their organization
- Seeking to advance their career in the industry
- Giving shape to entrepreneurial aspirations
What is the admission process for this Machine Learning Online Course in Delhi?
The admission process for this Machine Learning Course in Delhi consists of three simple steps:
- All interested candidates are required to apply through the online application form
- An admission panel will shortlist the candidates based on their application
- An offer of admission will be made to the selected candidates, which can then be accepted by the candidate by paying the Machine Learning Course fee
What should I expect from this Machine Learning Course in Delhi?
As a part of this Best Machine Learning Course in Delhi you will receive the following:
- Masterclasses delivered by distinguished IIT Kanpur faculty
- Program completion certificate from E&ICT Academy, IIT Kanpur
- Career assistance post completion of this ML program
- Active recruiters include: Amazon, Google, Microsoft, and more
What certificate will I receive?
Upon successful completion of this AI and Machine Learning Course in Delhi, you will be awarded a certificate of completion by E&ICT Academy, IIT Kanpur, along with industry-recognized certification from Simplilearn for courses in the learning path.
How long does it take to complete this Machine Learning Course in Delhi?
The Machine Learning Online Course in Delhi could be completed according to your schedule but the anticipated time to complete the overall program is 11 months.
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Post Graduate Program in AI and Machine Learning- Disclaimer
- PMP, PMI, PMBOK, CAPM, PgMP, PfMP, ACP, PBA, RMP, SP, and OPM3 are registered marks of the Project Management Institute, Inc.