Best Generative AI Courses & Certifications | Master Applied GenAI Course

Unlock the power of GenAI to innovate in your industry and enhance your professional journey.

Why choose this course?

Train With FAANG+ GenAI Experts

Learn from seasoned instructors with deep industry and academic experience, and get insights into the latest AI trends and applications.

Real-world Project: Build a GenAI app

Train and fine-tune a GenAI application for real-world use. Gain skills demanded by top tech companies for scaling AI applications and features.

Industry-Relevant Curriculum

Taught by experts actively working in the field of GenAI. Learn the most current and impactful practices to creatively apply them in your workplace.

Designed for all Tech Professionals

Tailored to fit the needs of tech professionals across industries, who are looking to understand Generative AI.

Future-Proof Your Career with GenAI

Make decisions and build a strong generative AI base - without worrying about the last 20 years of AI background. We got it all covered!

Understand The Latest GenAI Research

Deep dive into state-of-the-art AI Tech such as LLMs and Diffusion Models, and stay informed on the most recent advancements in Generative AI

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Eligibility Criteria

What You’ll Learn: The Full Applied GenAI Curriculum

Python Crash Course I

1

Python fundamentals

2

Experience writing simple Python programs

Python Crash Course II

1

Jupyter Notebooks and Google Colab

2

Python Libraries for Machine Learning

Hands-on with Large Language Models

1

Accessing popular foundation models via their APIs

2

Working with open-source models via Huggingface Transformers

3

Working with Stable Diffusion, LoRA

Gen AI Background

1

Overview of Generative AI

2

Applications of Generative AI

3

Recent History of Generative AI

4

Methods for Evaluating Generative AI Models

5

Ethical Considerations in Generative AI

Neural Networks Background

1

Architecture of feedforward neural networks

2

Activation functions

3

Training neural networks

4

Recurrent Neural Networks (RNNs)

5

Convolutional Neural Networks (CNNs)

Deep Dive into LLMs

1

Probabilistic language models

2

The Transformer Architecture

3

Scaling Laws

Building Applications with LLMs

1

Retrieval-augmented generation (RAG)

2

Agents

3

AgLangChain as a toolkit for LLM applicationsents

Training LLMs

1

Pretraining LLMs

2

Fine-tuning LLMs and LoRA

3

Instruction Tuning

4

Learning from Preferences (RLHF and DPO)

GenAI for Images

1

Diffusion Process (DDPM) and Stable Diffusion

2

Latent Diffusion

3

Fine-tuning diffusion models and LoRA

4

Visual Transformers and applications

GenAI for Audio

1

Overview of Text-to-Speech Synthesis: Waveform Generation techniques

2

Creating New Music and Sounds with WaveNet and GANs

3

Voice Models and Architecture: Vocoders, Tacotron, etc.

4

Integrating Voice with LLMs

Capstone Project

1

Create LLM-based applications

This curriculum is constantly updated, based on the latest developments in the field of Generative AI. Therefore, it is subject to change.

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What Tools & Technologies are Covered in this Course?

FAANG+ Instructorsto Train You in Live Classes

Our highly experienced instructors are active ML Professionals at top tech companies, bringing you a treasure trove of knowledge and industry expertise.

Register for Pre-enrolment Session

Learn more about the course & pricing

It's Free

The IK Experience: What Our Alumni Are Saying

Our engineers land high-paying and rewarding offers from the biggest tech companies, including Facebook, Google, Microsoft, Apple, Amazon, Tesla, and Netflix.

Students who chose to uplevel with IK got placed at

20,000+

Tech professionals trained

$1.2M

Highest offer received by an IK alum

66.5%

Average salary hike received by alums

Built for working professionals

This is how we structure and organize your journey. Our learners spend 10-12 hours each week on this course.

Sunday

4-hour Live Classes in the morning

Consists of introduction to fundamentals, a deep dive into case studies, and practical implementation.

Thursday

2-hour session in the evening to discuss assignments and problem solutions

Assignment review session

Solve questions and case studies based on the assignment shared with you

Once a week

1-hour technical coaching session to discuss any additional doubts

How to Enroll for the Applied GenAI Program

Learn more about Interview Kickstart and the Applied GenAI Program by joining the free pre-enrollment webinar.

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FAQs on Applied GenAI

The best way to join the course is to first register for our pre-enrolment session here. You will learn all about the course, its cost, and other useful details.

In today’s rapidly evolving tech landscape, Generative AI stands as a cornerstone of innovation, reshaping industries from entertainment to healthcare. For tech professionals, understanding Generative AI is crucial, not merely for staying relevant, but for unlocking new realms of creativity and efficiency. It enables the design of more intuitive user interfaces, the creation of personalized content at scale, and the solving of complex problems with unprecedented speed.

Moreover, as ethical and societal implications of AI technology come to the forefront, tech professionals equipped with knowledge in Generative AI are better positioned to navigate these challenges responsibly.

This course is not about transitioning into an AI role but about enriching your professional toolkit with the knowledge of Generative AI.Here are five compelling reasons to add Generative AI to your skill sets:
  1. Elevate Your Understanding of AI: Whether you’re looking to innovate in your current role, enhance your strategic thinking, or simply understand the conversations happening around AI, our Generative AI for All program offers a comprehensive foundation. This journey helps you explore the potential of AI and prepare yourself for the future of technology
  2. Unleash Your Creative Potential: Generative AI tools like DALL-E or GPT can enhance your creativity, aiding in tasks such as generating innovative code snippets, designing user interfaces, or conceptualizing new product features. Think of it as having a creative assistant always at your disposal.
  3. Stay Ahead of the Curve: Building a strong foundation in Generative AI positions you to anticipate and adapt to changes in your industry. It’s not just about keeping up; it’s about leading the way and future-proofing your career.
  4. Enhance Problem-Solving Skills: Learning about Generative AI sharpens your analytical and problem-solving skills. It’s not just about algorithms and data; it’s about finding new solutions to old problems.
  5. Demystify the Buzz: There’s a lot of hype around AI. Understanding Generative AI helps you separate fact from fiction, making you an informed consumer and professional.

In the long run, yes. The focus of this program is on building GenAI literacy and technological fluency for creative application in various professional roles. By building strong foundations, applying the concepts learned, and actively participating in GenAI projects within your organization, you can enhance your skills and open doors to better job opportunities.

The Applied GenAI Program comprises live classes as well as self-paced recorded classes. You will also receive class recordings after each day’s live session.

There are no in-person classes in Interview Kickstart’s GenAI program—it is fully online and designed keeping working professionals in mind.

You will need to put in around 10 to 12 hours each week for this course.

This program is suitable for anyone in the tech field with a strong inclination to learn Generative AI.

Yes. You will be able to access all class recordings even after you complete the program.

No. We will provide you with all the resources required for the program. However, you are encouraged to read books and research papers, watch videos, and peruse other resources to keep yourself updated in the field.

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