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Variables, if-else, loops, Functions, lists, strings, etc. related coding examples
Tuples, Set, Dict, map, filter, reduce etc. related coding examples
OOP in Python, File and Exception handling
Numpy, Pandas, etc.
360° course designed and taught by FAANG+ experts to help you become an ML Engineer
Technical coaching, homework assistance, solutions discussion, and individual sessions
Exposure to real-life machine learning projects
Dedicated interview prep classes focused on helping you get 100% interview-ready
Live interview practice in real-life simulated environments with FAANG and top-tier interviewers
Resume building, LinkedIn profile optimization, personal branding, and live behavioral workshops
4-hour Live Classes in the morning
2-hour session in the evening to discuss assignments and problem solutions
1-hour technical coaching session to discuss any additional doubts
FAQ
What to look for in Interview Kickstart’s AI/Machine Learning course?
Our comprehensive AI and Machine learning course isn’t just another program—it’s a transformative learning, led by industry experts from FAANG+ companies. The curriculum has been strategically crafted to cover everything from Python fundamentals to cutting-edge ML & Gen AI concepts.
The course remains at the forefront of industry trends by leveraging the expertise of FAANG+ instructors and hiring managers, who continuously update the curriculum with the latest developments.
From strategically planned capstone projects to rigorous interview preparation tailored specifically for FAANG+ interviews, we provide comprehensive support at every step.
Our mock interview rounds with FAANG+ instructors ensure you’re not just proficient in answering technical questions, but confident in showcasing your skills to potential employers.
In addition to this, individuals will also learn to build resumes and LinkedIn to attract top-tier companies.
What truly sets us apart is our money-back guarantee and certification of completion.
Who is this Artificial Intelligence and Machine Learning Course ideal for?
The Artificial Intelligence and Machine Learning course has been crafted in a way to welcome individuals from diverse backgrounds who are seeking to build a career in the AI and ML domain.
These include software engineers and Data professionals who want to move into AI/ML Engineer roles. STEM graduates with related professional experience and recent college graduates can also learn from our course.
What are the eligibility criteria for this AI/ML Course?
To enroll in the Machine Learning course, prospective individuals should assess their technical experience.
If individuals have a background in programming or data analysis, they likely possess foundational skills relevant to machine learning.
So, if you come from a different field, you may need to begin with foundational programming and data analysis skills before delving into machine learning concepts.
Are there any required skills or Python programming languages needed before enrolling in this AI/ML course?
No, our ML course doesn’t require any prior Python programming and coding skills. We start from the ground up, and this includes learning Python programming language and covering all software development essentials.
However, STEM graduates are preferred. And, since the program is also tailored as a transitionary pathway for tech professionals such as software developers and data science/engineering experts, a robust grasp of programming languages as foundational knowledge is deemed inherent.
Why should I take the Artificial Intelligence and Machine Learning course from Interview Kickstart?
• Complete Learning Path:
Interview Kickstart’s Artificial Intelligence and Machine Learning course distinguishes itself with its comprehensive and expansive guidance methodology.
In our extensive 10 months of training, individuals will master Python and core ML concepts, including ML Maths, and Classical, and Deep Machine Learning Algorithms.
The course also covers Advanced ML Frameworks, NLP techniques, Generative AI, Computer Vision applications, and Reinforcement Learning through Human Feedback (RLHF) for advanced AI development. They will also learn the development and deployment of ML models using MLOps techniques.
• Instructor pool: Our AI/Machine learning course includes experts from tier-1 companies and universities who are leading the advancement of Machine Learning and Generative AI in leading tech companies. Our instructor pool is strategically curated to match the nature of each module.
For instance, we have subject matter experts from FAANG+ companies to lead the classes for modules focusing on industry-used architectures and algorithms.
Our artificial intelligence and machine learning course instructors are Applied Scientists, Research Scientists, and Data Science Managers.
• Capstone Projects: The AI/ Machine learning course includes a variety of comprehensive projects, each tailored to address real-world challenges faced by companies across various industries in areas including Generative AI, Natural Language Processing, MLOps, Classical Machine Learning & Computer Vision.
• Interview Prep
Upon mastering the Machine learning concepts, individuals seamlessly transition to Part 2, tailored for interview preparation.
For students targeting Machine Learning roles, Data Structure, Algorithms, Scalable System Design, and Machine Learning System design are crucial for cracking tier-1 interviews.
In about 4 months of training, instructors will guide you on how to tackle open-ended ML system design questions in the field of AI and ML.
• 360- career support: Interview Kickstart provides all-rounder career support to help you land an ML job. Our instructors assist in building Resume and optimizing your LinkedIn profile.
There is also a salary negotiation masterclass so that you can ask for the right compensation for your skills.
To what extent will the program delve into generative AI concepts and applications?
The program covers Generative AI concepts thoroughly, particularly focusing on advanced techniques such as BERT, Transformers, and LLMs.
The curriculum focuses not only on theory but practical demonstration of a wide range of topics, including image generation using diffusion, Reinforcement Learning from Human Feedback (RLHF), ethical considerations, the Language Model’s Hedging Behavior and so much more.
Will I receive a certificate after completing the AI/Machine Learning Course with Interview Kickstart?
There are diverse career pathways available to individuals upon successful completion of an AI and Machine learning course through Interview Kickstart.
• AI/ML Engineer: These individuals are responsible for developing, programming, and modeling.
Some of the skills of AI/ML engineers include proficiency in programming languages, ML modeling & engineering(DL, CV, NLP, GenAI), model deployment(MLOps), and more.
• AI Research Scientist: Research Scientists in the field of Machine Learning are responsible for developing prototypes to assess the performance of potential AI solutions. They design pipelines for taking AI models from the research stage to production-level systems.
• Natural Language Processing (NLP) Specialist: They focus on the intersection of computer science, artificial intelligence, and linguistics. Their primary goal is to develop algorithms for language model development, text analysis, speech recognition, translation systems, and more.
• Computer Vision Specialist: They focus on developing algorithms that allow computers to understand visual information. This can include tasks such as image recognition, object detection, video tracking, and scene reconstruction.
Will I receive a certificate after completing the AI/Machine Learning Course with Interview Kickstart?
Yes, you will receive the AI and Machine Learning Certification after completing the course with Interview Kickstart.
Are there any hands-on projects incorporated into the AI/Machine Learning curriculum?
Our Artificial Intelligence and Machine Learning course includes many Capstone projects that are given at the end of the program to showcase your Machine Learning skills.
To provide one example, our ML course includes a Capstone project called StyleLens, akin to Google Lens employs advanced and deep learning algorithms to help discover similar fashion styles.
In addition to Capstone Projects, there are individual mini-projects as well, curated by FAANG+ instructors and range from core ML to deep Learning—CV, NLP, and Generative AI-based use cases.
What kind of support and resources are available outside the AI/Machine Learning course?
Interview Kickstart offers a 6 months support period once you complete the AI and Machine Learning course. In this span, you will have expert guidance, behavioral coaching sessions, dedicated sessions, and mock interviews.
You’ll also receive comprehensive training in salary negotiation tactics to secure competitive compensation packages commensurate with your expertise and market value.
How are Machine Learning mock interviews conducted in the course?
Our FAANG+ hiring managers conduct mock interviews in a structured process that involves simulating real interviews at top tech companies.
Through 15 mock interviews, you’ll hone your interview skills and receive personalized feedback & actionable insights from experienced professionals.
How does the AI/Machine Learning course at Interview Kickstart stay updated with the latest advancements and trends in the field?
Interview Kickstart employs FAANG+ instructors and hiring managers who are well-versed in the latest developments in artificial intelligence and machine learning.
These professionals continue to evolve in their roles to accumulate experience with the latest tools, technologies, and best practices in AI / Machine learning. Their firsthand learning directly benefits the AI/Machine learning course curriculum.
Following their proficiency in the field, the course curriculum undergoes regular updates to incorporate new AI/Machine learning algorithms, frameworks, and case studies that address emerging challenges.
What is the salary for a machine learning engineer in USA?
Do you offer preparation for machine learning interview questions?
What are the possible careers in machine learning?
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